WorldWideScience

Sample records for productivist industrial model

  1. Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?

    Science.gov (United States)

    Ghassib, Hisham B.

    2010-01-01

    The basic premise of this paper is the fact that science has become a major industry: the knowledge industry. The paper throws some light on the reasons for the transformation of science from a limited, constrained and marginal craft into a major industry. It, then, presents a productivist industrial model of knowledge production, which shows its…

  2. Comments on Ghassib's "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"

    Science.gov (United States)

    McCluskey, Ken W.

    2010-01-01

    This article presents the author's comments on Hisham B. Ghassib's "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?" Ghassib's article focuses on the transformation of science from pre-modern times to the present. Ghassib (2010) notes that, unlike in an earlier era when the economy depended on static…

  3. Expanding Views of Creative Science: A Response to Ghassib's Productivist Industrial Model

    Science.gov (United States)

    Ambrose, Don

    2010-01-01

    It was refreshing to read Hisham Ghassib's (2010) article outlining his model of scientific knowledge production. Too few scholarly writings in creative studies and gifted education deal with issues at the large-scale, panoramic level of analysis. Ghassib (2010) would not disappoint Albert Einstein who lamented that "I have little patience with…

  4. Industry specific financial distress modeling

    Directory of Open Access Journals (Sweden)

    Naz Sayari

    2017-01-01

    Full Text Available This study investigates uncertainty levels of various industries and tries to determine financial ratios having the greatest information content in determining the set of industry characteristics. It then uses these ratios to develop industry specific financial distress models. First, we employ factor analysis to determine the set of ratios that are most informative in specified industries. Second, we use a method based on the concept of entropy to measure the level of uncertainty in industries and also to single out the ratios that best reflect the uncertainty levels in specific industries. Finally, we conduct a logistic regression analysis and derive industry specific financial distress models which can be used to judge the predictive ability of selected financial ratios for each industry. The results show that financial ratios do indeed echo industry characteristics and that information content of specific ratios varies among different industries. Our findings show diverging impact of industry characteristics on companies; and thus the necessity of constructing industry specific financial distress models.

  5. Crowdsourcing models of industrial business

    OpenAIRE

    Грахов, А. А.; Зубаха, Е. Н.

    2016-01-01

    This article highlights the main definition " Crowdsourcing " . The classification of existing types crowdsourcing , crowdsourcing examples of activities of production companies , as well as the existing crowdsourcing platform. Obtained in the practice of crowdsourcing industrial business.

  6. Data for a steel industry model

    OpenAIRE

    Mæstad, Ottar

    2000-01-01

    SNF has recently developed a new model of the steel market and some of the major factor markets connected to the steel industry. The aim of the model has been to study how regulations of the emissions of carbon dioxide (CO2) in the steel industry might affect the structure of the industry. It has also been an objective to investigate how structural changes in the steel industry might influence on the industry’s demand for transport services. This paper outlines the details about the data that...

  7. Application of Actuarial Modelling in Insurance Industry

    OpenAIRE

    Burcã Ana-Maria; Bãtrînca Ghiorghe

    2011-01-01

    In insurance industry, the financial stability of insurance companies represents an issue of vital importance. In order to maintain the financial stability and meet minimum regulatory requirements, actuaries apply actuarial modeling. Modeling has been at the center of actuarial science and of all the sciences from the beginning of their journey. In insurance industry, actuarial modeling creates a framework that allows actuaries to identify, understand, quantify and manage a wide range of risk...

  8. Structured Mathematical Modeling of Industrial Boiler

    OpenAIRE

    Aziz, Abdullah Nur; Nazaruddin, Yul Yunazwin; Siregar, Parsaulian; Bindar, Yazid

    2014-01-01

    As a major utility system in industry, boilers consume a large portion of the total energy and costs. Significant reduction of boiler cost operation can be gained through improvements in efficiency. In accomplishing such a goal, an adequate dynamic model that comprehensively reflects boiler characteristics is required. This paper outlines the idea of developing a mathematical model of a water-tube industrial boiler based on first principles guided by the bond graph method in its derivation. T...

  9. Modelling energy demand of Croatian industry sector

    DEFF Research Database (Denmark)

    Medić, Zlatko Bačelić; Pukšec, Tomislav; Mathiesen, Brian Vad

    2014-01-01

    Industry represents one of the most interesting sectors when analysing Croatian final energy demand. Croatian industry represents 20% of nation's GDP and employs 25% of total labour force making it a significant subject for the economy. Today, with around 60 PJ of final energy demand...... it is the third most energy intensive sector in Croatia after transport and households. Implementing mechanisms that would lead to improvements in energy efficiency in this sector seems relevant. Through this paper, long-term energy demand projections for Croatian industry will be shown. The central point...... for development of the model will be parameters influencing the industry in Croatia. Energy demand predictions in this paper are based upon bottom-up approach model. IED model produces results which can be compared to Croatian National Energy Strategy. One of the conclusions shown in this paper is significant...

  10. The fishing industry - toward supply chain modelling

    DEFF Research Database (Denmark)

    Jensen, Toke Koldborg; Nielsen, Jette; Larsen, Erling P.

    Mathematical models for simulating and optimizing supply chain aspects such as distribution planning and optimal use of raw materials are widely used. However, modelling based on a holistic chain view is less studied, and food-related aspects such as quality and shelf life issues enforce additional...... requirements onto the chains. In this paper, we consider the supply chain structure of the Danish fishing industry and illustrate the potential of using mathematical models to identify quality and value-adding activities. This is a first step toward innovative supply chain modelling aimed to identify benefits...... for actors along chains in the fishing industry....

  11. Management Model Applicable to Metallic Materials Industry

    Directory of Open Access Journals (Sweden)

    Adrian Ioana

    2013-02-01

    Full Text Available This paper presents an algorithmic analysis of the marketing mix in metallurgy. It also analyzes the main correlations and their optimizing possibilities through an efficient management. Thus, both the effect and the importance of the marketing mix, for components (the four “P-s” areanalyzed in the materials’ industry, but their correlations as well, with the goal to optimize the specific management. There are briefly presented the main correlations between the 4 marketing mix components (the 4 “P-s” for a product within the materials’ industry, including aspects regarding specific management.Keywords: Management Model, Materials Industry, Marketing Mix, Correlations.

  12. Structured Mathematical Modeling of Industrial Boiler

    Directory of Open Access Journals (Sweden)

    Abdullah Nur Aziz

    2014-04-01

    Full Text Available As a major utility system in industry, boilers consume a large portion of the total energy and costs. Significant reduction of boiler cost operation can be gained through improvements in efficiency. In accomplishing such a goal, an adequate dynamic model that comprehensively reflects boiler characteristics is required. This paper outlines the idea of developing a mathematical model of a water-tube industrial boiler based on first principles guided by the bond graph method in its derivation. The model describes the temperature dynamics of the boiler subsystems such as economizer, steam drum, desuperheater, and superheater. The mathematical model was examined using industrial boiler performance test data.It can be used to build a boiler simulator or help operators run a boiler effectively.

  13. Online Learning of Industrial Manipulators' Dynamics Models

    DEFF Research Database (Denmark)

    Polydoros, Athanasios

    2017-01-01

    , it was compared with multiple other state-of-the-art machine learning algorithms. Moreover, the thesis presents the application of the proposed learning method on robot control for achieving trajectory execution while learning the inverse dynamics models  on-the-fly . Also it is presented the application...... of the dynamics models. Those mainly derive from physics-based methods and thus they are based on physical properties which are hard to be calculated.  In this thesis, is presented, a novel online machine learning approach  which is able to model both inverse and forward dynamics models of industrial manipulators....... The proposed method belongs to the class of deep learning and exploits the concepts of self-organization, recurrent neural networks and iterative multivariate Bayesian regression. It has been evaluated on multiple datasets captured from industrial robots while they were performing various tasks. Also...

  14. The fish industry - toward supply chain modelling

    DEFF Research Database (Denmark)

    Jensen, Toke Koldborg; Nielsen, Jette; Larsen, Erling

    2010-01-01

    such as quality and shelf-life issues enforce additional requirements onto the chains. In this article, we consider the supply chain structure of the fish industry. We discuss and illustrate the potential of using mathematical models to identify quality and value-adding activities. The article provides a first......Mathematical models for simulating and optimizing aspects of supply chains such as distribution, planning, and optimal handling of raw materials are widely used. However, modeling based on a holistic chain view including several or all supply chain agents is less studied, and food-related aspects...... step toward innovative supply chain modeling aimed to identify benefits for all agents along chains in the fish industry....

  15. Fractional Order Models of Industrial Pneumatic Controllers

    Directory of Open Access Journals (Sweden)

    Abolhassan Razminia

    2014-01-01

    Full Text Available This paper addresses a new approach for modeling of versatile controllers in industrial automation and process control systems such as pneumatic controllers. Some fractional order dynamical models are developed for pressure and pneumatic systems with bellows-nozzle-flapper configuration. In the light of fractional calculus, a fractional order derivative-derivative (FrDD controller and integral-derivative (FrID are remodeled. Numerical simulations illustrate the application of the obtained theoretical results in simple examples.

  16. Experimental modeling methods in Industrial Engineering

    Directory of Open Access Journals (Sweden)

    Peter Trebuňa

    2009-03-01

    Full Text Available Dynamic approaches to a management system of the present industrial practice, forcing businesses to address management issues in-house continuous improvement of production and non-production processes. Experience has repeatedly demonstrated the need for a system approach not only in analysis but also in the planning and actual implementation of these processes. Therefore, the contribution is focused on the description of the modeling in industrial practice by a system approach, in order to avoid erroneous application of the decision to the implementation phase, and thus prevent any longer applying methods "attempt - fallacy".

  17. Modeling Innovations Advance Wind Energy Industry

    Science.gov (United States)

    2009-01-01

    In 1981, Glenn Research Center scientist Dr. Larry Viterna developed a model that predicted certain elements of wind turbine performance with far greater accuracy than previous methods. The model was met with derision from others in the wind energy industry, but years later, Viterna discovered it had become the most widely used method of its kind, enabling significant wind energy technologies-like the fixed pitch turbines produced by manufacturers like Aerostar Inc. of Westport, Massachusetts-that are providing sustainable, climate friendly energy sources today.

  18. University - industry collaborations: models, drivers and cultures.

    Science.gov (United States)

    Ehrismann, Dominic; Patel, Dhavalkumar

    2015-01-01

    The way academic institutions and pharmaceutical companies have been approaching collaborations has changed significantly in recent years. A multitude of interaction models were tested and critical factors that drive successful collaborations have been proposed. Based on this experience the current consensus in the pharmaceutical industry is to pursue one of two strategies: an open innovation approach to source discoveries wherever they occur, or investing selectively into scientific partnerships that churn out inventions that can be translated from bench to bedside internally. While these strategies may be intuitive, to form and build sustainable relationships between academia and large multinational healthcare enterprises is proving challenging. In this article we explore some of the more testing aspects of these collaborations, approaches that various industrial players have taken and provide our own views on the matter. We found that understanding and respecting each other's organisational culture and combining the intellectual and technological assets to answer big scientific questions accelerates and improves the quality of every collaboration. Upon discussing the prevailing cooperation models in the university - industry domain, we assert that science-driven collaborations where risks and rewards are shared equally without a commercial agenda in mind are the most impactful.

  19. Manual control models of industrial management

    Science.gov (United States)

    Crossman, E. R. F. W.

    1972-01-01

    The industrial engineer is often required to design and implement control systems and organization for manufacturing and service facilities, to optimize quality, delivery, and yield, and minimize cost. Despite progress in computer science most such systems still employ human operators and managers as real-time control elements. Manual control theory should therefore be applicable to at least some aspects of industrial system design and operations. Formulation of adequate model structures is an essential prerequisite to progress in this area; since real-world production systems invariably include multilevel and multiloop control, and are implemented by timeshared human effort. A modular structure incorporating certain new types of functional element, has been developed. This forms the basis for analysis of an industrial process operation. In this case it appears that managerial controllers operate in a discrete predictive mode based on fast time modelling, with sampling interval related to plant dynamics. Successive aggregation causes reduced response bandwidth and hence increased sampling interval as a function of level.

  20. Product modelling in the seafood industry

    DEFF Research Database (Denmark)

    Jonsdottir, Stella; Vesterager, Johan

    1997-01-01

    driven and proactive to comply with the increasing competition, in such a way that the fish processor issues new products covering both the current and especially latent future consumer demands. This implies a need for new systematic approaches in the NPD as procedures and tools, which integrate...... based integration obtained by the CE approach and tools. It is described how the knowledge and information of a seafood product can be modelled by using object oriented techniques.......The paper addresses the aspects of Concurrent Engineering (CE) as a means to obtain integrated product development in the seafood industry. It is assumed that the future New Product Development (NPD) in seafood industry companies will shift from being retailer driven and reactive to be more company...

  1. System approach to modeling of industrial technologies

    Science.gov (United States)

    Toropov, V. S.; Toropov, E. S.

    2018-03-01

    The authors presented a system of methods for modeling and improving industrial technologies. The system consists of information and software. The information part is structured information about industrial technologies. The structure has its template. The template has several essential categories used to improve the technological process and eliminate weaknesses in the process chain. The base category is the physical effect that takes place when the technical process proceeds. The programming part of the system can apply various methods of creative search to the content stored in the information part of the system. These methods pay particular attention to energy transformations in the technological process. The system application will allow us to systematize the approach to improving technologies and obtaining new technical solutions.

  2. Characterizing emerging industrial technologies in energy models

    Energy Technology Data Exchange (ETDEWEB)

    Laitner, John A. (Skip); Worrell, Ernst; Galitsky, Christina; Hanson, Donald A.

    2003-07-29

    Conservation supply curves are a common tool in economic analysis. As such, they provide an important opportunity to include a non-linear representation of technology and technological change in economy-wide models. Because supply curves are closely related to production isoquants, we explore the possibility of using bottom-up technology assessments to inform top-down representations of energy models of the U.S. economy. Based on a recent report by LBNL and ACEEE on emerging industrial technologies within the United States, we have constructed a supply curve for 54 such technologies for the year 2015. Each of the selected technologies has been assessed with respect to energy efficiency characteristics, likely energy savings by 2015, economics, and environmental performance, as well as needs for further development or implementation of the technology. The technical potential for primary energy savings of the 54 identified technologies is equal to 3.54 Quads, or 8.4 percent of the assume d2015 industrial energy consumption. Based on the supply curve, assuming a discount rate of 15 percent and 2015 prices as forecasted in the Annual Energy Outlook2002, we estimate the economic potential to be 2.66 Quads - or 6.3 percent of the assumed forecast consumption for 2015. In addition, we further estimate how much these industrial technologies might contribute to standard reference case projections, and how much additional energy savings might be available assuming a different mix of policies and incentives. Finally, we review the prospects for integrating the findings of this and similar studies into standard economic models. Although further work needs to be completed to provide the necessary link between supply curves and production isoquants, it is hoped that this link will be a useful starting point for discussion with developers of energy-economic models.

  3. Policy modeling for industrial energy use

    Energy Technology Data Exchange (ETDEWEB)

    Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon; Jung, Yonghun; Kato, Hiroyuki; Ramesohl, Stephan; Boyd, Gale; Eichhammer, Wolfgang; Nyboer, John; Jaccard, Mark; Nordqvist, Joakim; Boyd, Christopher; Klee, Howard; Anglani, Norma; Biermans, Gijs

    2003-03-01

    The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. In this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the

  4. Industrialization

    African Journals Online (AJOL)

    Lucy

    scholar, Walt W. Rostow presented and supported this line of thought in his analysis of ... A Brief Historical Background of Industrialization in Africa ... indicative) The western model allowed for the political economy to be shaped by market.

  5. Industrial leadership in Science-based Industries. A co-evolution model

    OpenAIRE

    Fatas-Villafranca , Francisco; Jarne , Gloria; Sanchez-Choliz , Julio

    2009-01-01

    Abstract In this paper, we seek to analyse the role of national university systems in combination with technological and market factors as sources of industrial leadership and industry growth in sciencebased industries. We propose a model in which national university systems and their respective national firms and industries are considered as co-evolving. National firms compete on a worldwide level and they rely on the progress of science and the availability of scientists to innov...

  6. Dynamic modelling of Industrial Heavy Water Plant

    International Nuclear Information System (INIS)

    Teruel, F.E.

    1997-01-01

    The dynamic behavior of the isotopic enrichment unites of the Industrial Heavy Water Plant, located in Arroyito, Neuquen, Argentina, was modeled and simulated in the present work. Dynamic models of the chemical and isotopic interchange processes existent in the plant, were developed. This served as a base to obtain representative models of the different unit and control systems. The developed models were represented in a modular code for each unit. Each simulator consists of approximately one hundred non-linear-first-order differential equations and some other algebraic equation, which are time resolved by the code. The different simulators allow to change a big number of boundary conditions and the control systems set point for each simulation, so that the program become very versatile. The output of the code allows to see the evolution through time of the variables of interest. An interface which facilitates the use of the first enrichment stage simulator was developed. This interface allows an easy access to generate wished events during the simulation and includes the possibility to plot evolution of the variables involved. The obtained results agree with the expected tendencies. The calculated nominal steady state matches by the manufacturer. The different steady states obtained, agree with previous works. The times and tendencies involved in the transients generated by the program, are in good agreement with the experience obtained at the plant. Based in the obtained results, it is concluded that the characteristic times of the plant are determined by the masses involved in the process. Different characteristics in the system dynamic behavior were generated with the different simulators, and were validated by plant personnel. This work allowed to understand the different process involved in the heavy water manufacture, and to develop a very useful tool for the personnel of the plant. (author). 14 refs., figs., tabs. plant. (author). 14 refs., figs., tabs

  7. 4. Rapidly industrializing countries: Forging new models

    International Nuclear Information System (INIS)

    Starke, L.

    1992-01-01

    This chapter discusses the following: the experience of newly industrializing countries (NIC); human development; broadening economic development; conserving natural resources (agriculture, forests, air quality); energy consumption; using more efficient technology; new markets and new products. Governments in rapidly industrializing countries can do a great deal to steer development in a sustainable direction by adopting appropriate policies - many of which are discussed in this and preceding chapters. Governments in industrialized countries also have an important role to play by offering the necessary technical and financial assistance to support this kind of development. The chapter uses as examples Brazil, Chile, Mexico, Indonesia, Malaysia, and Thailand

  8. Exploring mechanisms for mobilising industrial sustainability models across different industrial locations

    DEFF Research Database (Denmark)

    Jacobsen, Ole Morten Noel Brings

    2009-01-01

    Industrial symbiosis is a model of sustainability which suggests that agglomerations of industries can achieve considerable environmental benefits by engaging in inter-organisational waste recycling, energy cascading and water recovery. This article considers how such a complex inter-organisation......Industrial symbiosis is a model of sustainability which suggests that agglomerations of industries can achieve considerable environmental benefits by engaging in inter-organisational waste recycling, energy cascading and water recovery. This article considers how such a complex inter...... symbiosis model may in this way be mobilised across industrial localities as part of the global corporate search for marked access and cost reductions. This suggestion is supported by an illustrative case study shedding some light on the mechanisms for mobilising sustainability models across localities....

  9. Development of Industry-Wide IS Integration Model in the Agri-Industry

    DEFF Research Database (Denmark)

    Hedman, Jonas; Henningsson, Stefan

    2013-01-01

    his paper presents a model explaining industrywide information systems (IS) integration in the agri-industry.Using a theoretical frame of value confi guration analysis and IS integration extent we study 15 organizations. We find that product sensitivity, continuous production, value chain captains...... sensitivity and continuous production process led to higher levels of integration......., and value creation logic explain the industry-wide IS integration. Incompatible value creation logic among stakeholders and the lack of presence of “value chain captains” – powerful actors dominating the entire industry - has and negative impact on industry-wide integration. On the other hand, product...

  10. An industry-sponsored, school-focused model for continuing ...

    African Journals Online (AJOL)

    An industry-sponsored, school-focused model for continuing professional ... HEIs and Departments of Education (DoE), could change the traditional concept that CPTD is the responsibility of DoEs into a new model where the business

  11. Product models for the Construction industry

    DEFF Research Database (Denmark)

    Sørensen, Lars Schiøtt

    1996-01-01

    Different types of product models for the building sector was elaborated and grouped. Some discussion on the different models was given. The "definition" of Product models was given.......Different types of product models for the building sector was elaborated and grouped. Some discussion on the different models was given. The "definition" of Product models was given....

  12. A maturity model for industrial supply chains

    NARCIS (Netherlands)

    Hameri, A.P.; McKay, K.N.; Wiers, V.C.S.

    2013-01-01

    This article takes an evolutionary view of supply chains to suggest a series of distinct, contextual phases for supply chain execution and what maturity might mean at each phase. For example, what is best practice in a mature industry might not be best practice in a pioneering situation.Three

  13. Education and Industry Links: A Tripartite Model.

    Science.gov (United States)

    Bishop, Pam

    1996-01-01

    Describes a project in which a British industrial organization, the Boots Company, a family of schools, and the one-year Post-Graduate Certificate in Education (PGCE) teacher training course at the School of Education at the University of Nottingham cooperated in developing science-focused material in the area of Economic and Industrial…

  14. PENGEMBANGAN MODEL PEMBELAJARAN BIDANG KEAHLIAN ELEKTRONIKA INDUSTRI BERBASIS METAKOGNISI

    Directory of Open Access Journals (Sweden)

    Purnamawati .

    2013-05-01

    Kata Kunci: pengembangan model pembelajaran, elektronika industri, berbasis metakognisi DEVELOPING A METACOGNITION-BASED LEARNING MODEL FOR INDUSTRIAL ELECTRONICS Abstract: This study aimed to develop a metacognition-based learning model and its instructional kits for the Industrial Electronics in Vocational High Schools satisfying validity, practicality, and effectiveness criteria. The findings were as follows. (1 Based on the expert and practitioner validation, the developed learning model was valid. (2 Based on the results of the try-out, the developed model and its instructional kits satisfied the practicality criterion. (3 Based on the results of the try-out, the developed model and its instructional kits satisfied the effectiveness criterion, indicated by students’ learning activities, their responses to the learning implementation, and their individual and classical learning competence attainment. Keywords: a metacognition-based learning model, industrial electronics, vocational high schools

  15. Business Model Innovation in the Pharmaceutical Industry

    DEFF Research Database (Denmark)

    Ahrensbach Rasmussen, Klement; Foss, Nicolai Juul

    of experimenting with business model. We distinguish between three ideal types, namely a traditionalist model (exemplified by Novo Nordisk), the full-blown service-oriented model (UCB Pharma) and the in-between model (LEO Pharma). We describe the changes to the organizational design and management processes...... that accompany the ongoing process of changing business models in these firms....

  16. Mathematical modeling of an industrial firm in transient economy

    Directory of Open Access Journals (Sweden)

    I. G. Pospelov

    2001-01-01

    Full Text Available A behavior model of an industrial firm with a possibility of merchandising and purchasing of production on two channels, traditional and commercial, is given. The former is stable, but less profitable due to non-payments. The latter is profitable, but risky. The model describes different modes of firm operation depending on economic parameters. In such a model, firms have incentives to integrate in financial and industrial groups.

  17. Industry 4.0 and the New Simulation Modelling Paradigm

    Directory of Open Access Journals (Sweden)

    Rodič Blaž

    2017-08-01

    Full Text Available Background and Purpose: The aim of this paper is to present the influence of Industry 4.0 on the development of the new simulation modelling paradigm, embodied by the Digital Twin concept, and examine the adoption of the new paradigm via a multiple case study involving real-life R&D cases involving academia and industry.

  18. Model Effectiviteit Instrumenten-Energiebesparing Industrie (MEI-Energie)

    NARCIS (Netherlands)

    Wijk JJ van; Engelen RFJM; Ros JPM; LAE

    2001-01-01

    Within the context of the Kyoto Protocol insight into industrial energy savings and the influence of policy instruments is desirable, both for the past and the future. By virtue of its legal central policy analysis function, the RIVM is currently developing an energy-saving model for industrial

  19. Official Reports: Inventions, useful models, industrial samples, product certificates

    International Nuclear Information System (INIS)

    1994-01-01

    This serial collection presents brief information on patents, useful models, industrial samples, product certificates and trade marks registered in Uzbekistan. They comprise different branches of human activities including peaceful uses of atomic energy. (A.A.D.)

  20. Official Reports: Inventions, useful models, industrial samples, product certificates

    International Nuclear Information System (INIS)

    1996-01-01

    This serial collection presents brief information on patents, useful models, industrial samples, product certificates and trade marks registered in Uzbekistan. They comprise different branches of human activities including peaceful uses of atomic energy. (A.A.D.)

  1. Official Reports: Inventions, useful models, industrial samples, product certificates

    International Nuclear Information System (INIS)

    1995-01-01

    This serial collection presents brief information on patents, useful models, industrial samples, product certificates and trade marks registered in Uzbekistan. They comprise different branches of human activities including peaceful uses of atomic energy. (A.A.D.)

  2. Diff-based model synchronization in an industrial MDD process

    DEFF Research Database (Denmark)

    Kindler, Ekkart; Könemann, Patrick; Unland, Ludger

    of different models is maintained manually in many cases today. This paper presents an approach for automated model differencing, so that the differences between two model versions (called delta) can be extracted and stored. It can then be re-used independently of the models it was created from...... to interactively merge different model versions, and for synchronizing other types of models. The main concern was to apply our concepts to an industrial process, so usability and performance were important issues....

  3. Evaluation Model of Tea Industry Information Service Quality

    OpenAIRE

    Shi , Xiaohui; Chen , Tian’en

    2015-01-01

    International audience; According to characteristics of tea industry information service, this paper have built service quality evaluation index system for tea industry information service quality, R-cluster analysis and multiple regression have been comprehensively used to contribute evaluation model with a high practice and credibility. Proved by the experiment, the evaluation model of information service quality has a good precision, which has guidance significance to a certain extent to e...

  4. A Telecommunications Industry Primer: A Systems Model.

    Science.gov (United States)

    Obermier, Timothy R.; Tuttle, Ronald H.

    2003-01-01

    Describes the Telecommunications Systems Model to help technical educators and students understand the increasingly complex telecommunications infrastructure. Specifically looks at ownership and regulatory status, service providers, transport medium, network protocols, and end-user services. (JOW)

  5. Applied mathematical modelling for Industrial Engineers

    Directory of Open Access Journals (Sweden)

    Josefa Mula

    2011-06-01

    Full Text Available El aprendizaje de técnicas de modelización matemática puede resultar en un proceso largo y tedioso para estudiantes de Ingeniería de Organización Industrial. Es necesario combinar de una forma equilibrada las enseñanzas teóricas con el modelado de casos de estudio reales. Para hacer más flexible el proceso de enseñanza teórica, se proporcionan herramientas multimedia de aprendizaje autónomo. Un factor clave es evolucionar de modelos simples resueltos a través de programas educativos, tales como WinQSB u hojas de cálculo con solucionadores embebidos a modelos más complejos desarrollados con diversos solucionadores comerciales (CPLEX, GUROBI, XPRESS, etc. El objetivo de esta comunicación es presentar una metodología innovadora para enseñar técnicas de modelización matemática basada en: (a el equilibrio de las enseñanzas teóricas y prácticas; (b el uso de herramientas multimedia autodidácticas; y (c la formulación y resolución de casos de estudio reales a través de diferentes solucionadores.

  6. Towards a Typology of Business Models in the Biotechnology Industry

    OpenAIRE

    Segers, Jean Pierre

    2018-01-01

    The purpose of this paper is to identify a selection of key business models - “typology” - applied in the biotechnology industry. The focus is on the differences between traditional/closed or stand-alone business models opposed to open or networked business models. A number of illustrative case studies and good practices are presented to show that new biotechnology firms are gradually adopting a “best of both worlds” strategy, with both closed business models and open, networked models as ...

  7. Difference-based Model Synchronization in an Industrial MDD Process

    DEFF Research Database (Denmark)

    Könemann, Patrick; Kindler, Ekkart; Unland, Ludger

    2009-01-01

    Models play a central role in model-driven software engineering. There are different kinds of models during the development process, which are related to each other and change over time. Therefore, it is difficult to keep the different models consistent with each other. Consistency of different m...... model versions, and for synchronizing other types of models. The main concern is to apply our concepts to an industrial process, in particular keeping usability and performance in mind. Keyword: Model Differencing, Model Merging, Model Synchronization...

  8. Modeling of processing technologies in food industry

    Science.gov (United States)

    Korotkov, V. G.; Sagitov, R. F.; Popov, V. P.; Bachirov, V. D.; Akhmadieva, Z. R.; TSirkaeva, E. A.

    2018-03-01

    Currently, the society is facing an urgent need to solve the problems of nutrition (products with increased nutrition value) and to develop energy-saving technologies for food products. A mathematical modeling of heat and mass transfer of polymer materials in the extruder is rather successful these days. Mathematical description of movement and heat exchange during extrusion of gluten-protein-starch-containing material similar to pasta dough in its structure, were taken as a framework for the mathematical model presented in this paper.

  9. Business Model Change in the Newspaper Industry

    DEFF Research Database (Denmark)

    Uliyanova, Anastasia; Holm, Anna B.; Nielsen, Anne Ellerup

    In the strategic management literature, the customer requirements and the opportunity to satisfy a real customer who needs a job to be done are considered to be the main instigators driving the company to initiate a business model change. However, an extensive search in peer-reviewed media...... management literature on triggers of business model change reveals that the literature is sparse in describing the change in young consumers1’ requirements of value of news put in a broader context of postmodernity; neither does it put focus on understanding of young consumers’ alternating and fragmented...

  10. Model documentation report: Industrial sector demand module of the National Energy Modeling System

    International Nuclear Information System (INIS)

    1997-01-01

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types

  11. Acoustic performance of industrial mufflers with CAE modeling and simulation

    Directory of Open Access Journals (Sweden)

    Jeon Soohong

    2014-12-01

    Full Text Available This paper investigates the noise transmission performance of industrial mufflers widely used in ships based on the CAE modeling and simulation. Since the industrial mufflers have very complicated internal structures, the conventional Transfer Matrix Method (TMM is of limited use. The CAE modeling and simulation is therefore required to incorporate commercial softwares: CATIA for geometry modeling, MSC/PATRAN for FE meshing and LMS/ SYSNOISE for analysis. Main sources of difficulties in this study are led by complicated arrangement of reactive elements, perforated walls and absorption materials. The reactive elements and absorbent materials are modeled by applying boundary conditions given by impedance. The perforated walls are modeled by applying the transfer impedance on the duplicated node mesh. The CAE approach presented in this paper is verified by comparing with the theoretical solution of a concentric-tube resonator and is applied for industrial mufflers.

  12. Acoustic performance of industrial mufflers with CAE modeling and simulation

    Directory of Open Access Journals (Sweden)

    Soohong Jeon

    2014-12-01

    Full Text Available This paper investigates the noise transmission performance of industrial mufflers widely used in ships based on the CAE modeling and simulation. Since the industrial mufflers have very complicated internal structures, the conventional Transfer Matrix Method (TMM is of limited use. The CAE modeling and simulation is therefore required to incorporate commercial softwares: CATIA for geometry modeling, MSC/PATRAN for FE meshing and LMS/SYSNOISE for analysis. Main sources of difficulties in this study are led by complicated arrangement of reactive ele- ments, perforated walls and absorption materials. The reactive elements and absorbent materials are modeled by applying boundary conditions given by impedance. The perforated walls are modeled by applying the transfer impedance on the duplicated node mesh. The CAE approach presented in this paper is verified by comparing with the theoretical solution of a concentric-tube resonator and is applied for industrial mufflers.

  13. Fungal Morphology in Industrial Enzyme Production - Modelling and Monitoring

    DEFF Research Database (Denmark)

    Quintanilla, D.; Hagemann, T.; Hansen, K.

    2015-01-01

    Filamentous fungi are widely used in the biotechnology industry for the production of industrial enzymes. Thus, considerable work has been done with the purpose of characterizing these processes. The ultimate goal of these efforts is to be able to control and predict fermentation performance......, and on the way the data is interpreted-i.e. which models were applied. The main filamentous fungi used in industrial fermentation are introduced, ranging from Trichoderma reesei to Aspergillus species. Due to the fact that secondary metabolites, like antibiotics, are not to be considered bulk products, organisms...

  14. MODEL OF ANALYSIS IN THE ROMANIAN FOOTWEAR INDUSTRY

    OpenAIRE

    Dimi OFILEANU

    2014-01-01

    The aim of this work is to determine the influence that exports of footwear industry have on the turnover of the sector. In the work, a period of 9 years is taken into consideration: from 2004 to 2012, establishing an econometric model of analysis of the connection between the turnover and direct exports of footwear industry in Romania. Based on the analyzed empirical data, the work answers to the following question: what is the influence that exports of footwear industry have on sector’s tur...

  15. An Industrial Model Based Disturbance Feedback Control Scheme

    DEFF Research Database (Denmark)

    Kawai, Fukiko; Nakazawa, Chikashi; Vinther, Kasper

    2014-01-01

    This paper presents a model based disturbance feedback control scheme. Industrial process systems have been traditionally controlled by using relay and PID controller. However these controllers are affected by disturbances and model errors and these effects degrade control performance. The authors...... propose a new control method that can decrease the negative impact of disturbance and model errors. The control method is motivated by industrial practice by Fuji Electric. Simulation tests are examined with a conventional PID controller and the disturbance feedback control. The simulation results...

  16. Management models in the NZ software industry

    Directory of Open Access Journals (Sweden)

    Holger Spill

    Full Text Available This research interviewed eight innovative New Zealand software companies to find out how they manage new product development. It looked at how management used standard techniques of software development to manage product uncertainty through the theoretical lens of the Cyclic Innovation Model. The study found that while there is considerable variation, the management of innovation was largely determined by the level of complexity. Organizations with complex innovative software products had a more iterative software development style, more flexible internal processes and swifter decision-making. Organizations with less complexity in their products tended to use more formal structured approaches. Overall complexity could be inferred with reference to four key factors within the development environment.

  17. A Model for Industrial Real-Time Systems

    DEFF Research Database (Denmark)

    Bin Waez, Md Tawhid; Wasowski, Andrzej; Dingel, Juergen

    2015-01-01

    Introducing automated formal methods for large industrial real-time systems is an important research challenge. We propose timed process automata (TPA) for modeling and analysis of time-critical systems which can be open, hierarchical, and dynamic. The model offers two essential features for large...

  18. Industrial Sector Energy Efficiency Modeling (ISEEM) Framework Documentation

    Energy Technology Data Exchange (ETDEWEB)

    Karali, Nihan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Xu, Tengfang [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sathaye, Jayant [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2012-12-12

    The goal of this study is to develop a new bottom-up industry sector energy-modeling framework with an agenda of addressing least cost regional and global carbon reduction strategies, improving the capabilities and limitations of the existing models that allows trading across regions and countries as an alternative.

  19. New business models for state companies in the oil industry

    Directory of Open Access Journals (Sweden)

    Tanţău Adrian D.

    2016-09-01

    Full Text Available In the scientific literature business models are defined as architecture of the value creation, profit formula, key processes and key resources. For the oil industry there is a need to develop new business models that have to describe the specificity of this industry and to take into consideration the new objectives after the global oil crisis. Although crude oil price has dropped dramatically since second quarter 2014, OPEC raised crude output to the its highest value in more than three years as it pressed on with a strategy to protect market share and pressure competing producers. The objective of this article is to identify and promote new business models for state companies in the oil industry. The research methodology is based on case studies that present and analyze the business models in two of the main oil producers Iran and Iraq, where the state companies are playing an important role in this industry. The subject is relevant because the business models for state companies in the oil industry have to be modified after the oil crisis and these are not real analysed in the scientific literature. Furthermore, the aspects discussed in the current article represent the main factors that will influence investment prospects of companies in the field in the next decade.

  20. MODEL OF ANALYSIS IN THE ROMANIAN FOOTWEAR INDUSTRY

    Directory of Open Access Journals (Sweden)

    Dimi OFILEANU

    2014-06-01

    Full Text Available The aim of this work is to determine the influence that exports of footwear industry have on the turnover of the sector. In the work, a period of 9 years is taken into consideration: from 2004 to 2012, establishing an econometric model of analysis of the connection between the turnover and direct exports of footwear industry in Romania. Based on the analyzed empirical data, the work answers to the following question: what is the influence that exports of footwear industry have on sector’s turnover? In addition to specifying the econometric model which describes the connection between the two variables, we also test the validity of the model and the intensity of the connection between the two variables.

  1. An Elderly Employment Model For The Thai Automotive Industry

    Directory of Open Access Journals (Sweden)

    Pornrat Sadangharn

    2017-10-01

    Full Text Available This research aims at studying an elderly employment model for the Thai automotive industry. Mixed methods with a sequential exploratory strategy were utilized. Grounded theory was employed by using in-depth interviews to investigate the characteristics of elderly employment in the Thai automotive industry. For this stage of the research, theoretical and purposive sampling was used to select 32 key informants from four groups of stakeholders: (1 elderly workers, (2 employers or human resource managers, (3 government officers, and (4 academics. The findings were then validated using a quantitative approach with structural equation modelling (SEM. A total of 308 elderly workers and human resource managers were surveyed regarding their opinion about elderly employment. Based on the survey, the elderly employment model in the Thai automotive industry, which is comprised of the approach to elderly employment, elderly employment preparation, and key success factors for elderly employment, was revealed to be a good fit. 

  2. Model Oriented Application Generation for Industrial Control Systems

    CERN Document Server

    Copy, B; Blanco Vinuela, E; Fernandez Adiego, B; Nogueira Ferandes, R; Prieto Barreiro, I

    2011-01-01

    The CERN Unified Industrial Control Systems framework (UNICOS) is a software generation methodology and a collection of development tools that standardizes the design of industrial control applications [1]. A Software Factory, named the UNICOS Application Builder (UAB) [2], was introduced to ease extensibility and maintenance of the framework, introducing a stable metamodel, a set of platformindependent models and platformspecific configurations against which code generation plugins and configuration generation plugins can be written. Such plugins currently target PLC programming environments (Schneider and SIEMENS PLCs) as well as SIEMENS WinCC Open Architecture SCADA (previously known as ETM PVSS) but are being expanded to cover more and more aspects of process control systems. We present what constitutes the UNICOS metamodel and the models in use, how these models can be used to capture knowledge about industrial control systems and how this knowledge can be leveraged to generate both code and configuratio...

  3. Applying Model Checking to Industrial-Sized PLC Programs

    CERN Document Server

    AUTHOR|(CDS)2079190; Darvas, Daniel; Blanco Vinuela, Enrique; Tournier, Jean-Charles; Bliudze, Simon; Blech, Jan Olaf; Gonzalez Suarez, Victor M

    2015-01-01

    Programmable logic controllers (PLCs) are embedded computers widely used in industrial control systems. Ensuring that a PLC software complies with its specification is a challenging task. Formal verification has become a recommended practice to ensure the correctness of safety-critical software but is still underused in industry due to the complexity of building and managing formal models of real applications. In this paper, we propose a general methodology to perform automated model checking of complex properties expressed in temporal logics (\\eg CTL, LTL) on PLC programs. This methodology is based on an intermediate model (IM), meant to transform PLC programs written in various standard languages (ST, SFC, etc.) to different modeling languages of verification tools. We present the syntax and semantics of the IM and the transformation rules of the ST and SFC languages to the nuXmv model checker passing through the intermediate model. Finally, two real cases studies of \\CERN PLC programs, written mainly in th...

  4. Modelling of micro- and macrosegregation for industrial multicomponent aluminium alloys

    International Nuclear Information System (INIS)

    Ellingsen, K; M'Hamdi, M; Mortensen, D

    2015-01-01

    Realistic predictions of macrosegregation formation during casting of aluminium alloys requires an accurate modeling of solute microsegregation accounting for multicomponent phase diagrams and secondary phase formation. In the present work, the stand alone Alstruc model, a microsegregation model for industrial multicomponent aluminium alloys, is coupled with the continuum model ALSIM which calculates the macroscopic transport of mass, enthalpy, momentum, and solutes as well as stresses and deformation during solidification of aluminium. Alstruc deals with multicomponent alloys accounting for temperature dependent partition coefficients, liquidus slopes and the precipitation of secondary phases. The challenge associated with computation of microsegregation for multicomponent alloys is solved in Alstruc by approximating the phase diagram data by simple, analytical expressions which allows for a CPU-time efficient coupling with the macroscopic transport model. In the present work, the coupled model has been applied in a study of macrosegregation including thermal and solutal convection, solidification shrinkage and surface exudation on an industrial DC-cast billet. (paper)

  5. Engineering models and methods for industrial cell control

    DEFF Research Database (Denmark)

    Lynggaard, Hans Jørgen Birk; Alting, Leo

    1997-01-01

    This paper is concerned with the engineering, i.e. the designing and making, of industrial cell control systems. The focus is on automated robot welding cells in the shipbuilding industry. The industrial research project defines models and methods for design and implemen-tation of computer based...... SHIPYARD.It is concluded that cell control technology provides for increased performance in production systems, and that the Cell Control Engineering concept reduces the effort for providing and operating high quality and high functionality cell control solutions for the industry....... control and monitor-ing systems for production cells. The project participants are The Danish Academy of Technical Sciences, the Institute of Manufacturing Engineering at the Technical University of Denmark and ODENSE STEEL SHIPYARD Ltd.The manufacturing environment and the current practice...

  6. Discontinuities in business model innovation of the Danish newspaper industry

    DEFF Research Database (Denmark)

    Holm, Anna B.

    Within this study, I have analysed emerging business models in the newspaper industry at large, including the role ongoing technological developments play (from paper-based towards digital platforms), and the key activities, which the newspapers undertake in redefining their core business model....... More specifically, I discuss how changes introduced during the on-going development of new content delivery channels have affected the traditional business model based on one delivery channel, i.e. printed newspaper....

  7. Synthesis of industrial applications of local approach to fracture models

    International Nuclear Information System (INIS)

    Eripret, C.

    1993-03-01

    This report gathers different applications of local approach to fracture models to various industrial configurations, such as nuclear pressure vessel steel, cast duplex stainless steels, or primary circuit welds such as bimetallic welds. As soon as models are developed on the basis of microstructural observations, damage mechanisms analyses, and fracture process, the local approach to fracture proves to solve problems where classical fracture mechanics concepts fail. Therefore, local approach appears to be a powerful tool, which completes the standard fracture criteria used in nuclear industry by exhibiting where and why those classical concepts become unvalid. (author). 1 tab., 18 figs., 25 refs

  8. Model-based reasoning technology for the power industry

    International Nuclear Information System (INIS)

    Touchton, R.A.; Subramanyan, N.S.; Naser, J.A.

    1991-01-01

    This paper reports on model-based reasoning which refers to an expert system implementation methodology that uses a model of the system which is being reasoned about. Model-based representation and reasoning techniques offer many advantages and are highly suitable for domains where the individual components, their interconnection, and their behavior is well-known. Technology Applications, Inc. (TAI), under contract to the Electric Power Research Institute (EPRI), investigated the use of model-based reasoning in the power industry including the nuclear power industry. During this project, a model-based monitoring and diagnostic tool, called ProSys, was developed. Also, an alarm prioritization system was developed as a demonstration prototype

  9. Business models of micro businesses: Empirical evidence from creative industries

    Directory of Open Access Journals (Sweden)

    Pfeifer Sanja

    2017-01-01

    Full Text Available Business model describes how a business identifies and creates value for customers and how it organizes itself to capture some of this value in a profitable manner. Previous studies of business models in creative industries have only recently identified the unresolved issues in this field of research. The main objective of this article is to analyse the structure and diversity of business models and to deduce how these components interact or change in the context of micro and small businesses in creative services such as advertising, architecture and design. The article uses a qualitative approach. Case studies and semi-structured, in-depth interviews with six owners/managers of micro businesses in Croatia provide rich data. Structural coding in data analysis has been performed manually. The qualitative analysis has indicative relevance for the assessment and comparison of business models, however, it provides insights into which components of business models seem to be consolidated and which seem to contribute to the diversity of business models in creative industries. The article contributes to the advancement of empirical evidence and conceptual constructs that might lead to more advanced methodological approaches and proposition of the core typologies or classifications of business models in creative industries. In addition, a more detailed mapping of different choices available in managing value creation, value capturing or value networking might be a valuable help for owners/managers who want to change or cross-fertilize their business models.

  10. Model Pengukuran Kinerja Customer Relationship Management dalam Industri Perbankan

    Directory of Open Access Journals (Sweden)

    Freddy Simbolon

    2014-05-01

    Full Text Available High competition in the banking industry requires the banking industry to properly manage relationships with customers, as it is known as Customer Relationship Management (CRM. CRM applications will become effective when supported by information technology. Investment in information technology is not a small investment, because the higher the information technology, the greater the value of the investment. This study aims to obtain a model of CRM performance measurement in the banking industry efficiently and effective. The method in this study uses descriptive analytical method, while the results obtained in this study is a CRM Scorecard. CRM Scorecard is one of the approach models that correctly measure the performance of CRM, which is based on information technology. Through CRM Scorecard approach, information technology investment in CRM is no longer seen as a cost center, but seen to be a profit center, because the company can manage customers efficiently and effectively in order to enhance shareholder value in the future.

  11. Modeling of an industrial drying process by artificial neural networks

    Directory of Open Access Journals (Sweden)

    E. Assidjo

    2008-09-01

    Full Text Available A suitable method is needed to solve the nonquality problem in the grated coconut industry due to the poor control of product humidity during the process. In this study the possibility of using an artificial neural network (ANN, precisely a Multilayer Perceptron, for modeling the drying step of the production of grated coconut process is highlighted. Drying must confer to the product a final moisture of 3%. Unfortunately, under industrial conditions, this moisture varies from 1.9 to 4.8 %. In order to control this parameter and consequently reduce the proportion of the product that does not meet the humidity specification, a 9-4-1 neural network architecture was established using data gathered from an industrial plant. This Multilayer Perceptron can satisfactorily model the process with less bias, ranging from -0.35 to 0.34%, and can reduce the rate of rejected products from 92% to 3% during the first cycle of drying.

  12. Sustainable business model archetypes for the banking industry

    NARCIS (Netherlands)

    Yip, Angus W. H.; Bocken, N.M.P.

    2018-01-01

    Sustainable business model innovation is increasingly viewed as a lever for systems change for sustainability across businesses and industries. Banks hold a unique intermediary role in sustainable development, but also have a difficult position after the 2008 financial crisis. This paper aims to

  13. Designing organizational excellence model for cellulose industry of Iran

    Directory of Open Access Journals (Sweden)

    Seyed Abbas Kazemi

    2012-01-01

    Full Text Available Nowadays organizational excellence is regarded as the world’s most effective and progressive issue and many countries and organizations are attempting in the way of applying excellence. In this way, they attempt to improve such models and according to culture and sociopolitical conditions of each country, they attempt to design several models. The present research has been conducted with principal goal of designing organizational excellence model at cellulose industry of Iran. The study determines its components and aspects, priorities the aspects and components and analyzes relationship among different aspects of organizational excellence model at cellulose industry of Iran. The present research is an applied research with respect to goal and it is a descriptive-analytical method in terms of method. Statistical population of the present research covers all experts in the field of cellulose industry of Iran in which on this basis, the number of statistical sample was 207 people from managers to specialists. Results of research indicate that organizational excellence pattern of cellulose industry is a mixture of different aspects of technical, economic, inner environment, outer environment, motivation and behavioral processes.

  14. Towards Industrial Application of Damage Models for Sheet Metal Forming

    Science.gov (United States)

    Doig, M.; Roll, K.

    2011-05-01

    Due to global warming and financial situation the demand to reduce the CO2-emission and the production costs leads to the permanent development of new materials. In the automotive industry the occupant safety is an additional condition. Bringing these arguments together the preferable approach for lightweight design of car components, especially for body-in-white, is the use of modern steels. Such steel grades, also called advanced high strength steels (AHSS), exhibit a high strength as well as a high formability. Not only their material behavior but also the damage behavior of AHSS is different compared to the performances of standard steels. Conventional methods for the damage prediction in the industry like the forming limit curve (FLC) are not reliable for AHSS. Physically based damage models are often used in crash and bulk forming simulations. The still open question is the industrial application of these models for sheet metal forming. This paper evaluates the Gurson-Tvergaard-Needleman (GTN) model and the model of Lemaitre within commercial codes with a goal of industrial application.

  15. Modelling, simulation and validation of the industrial robot

    Directory of Open Access Journals (Sweden)

    Aleksandrov Slobodan Č.

    2014-01-01

    Full Text Available In this paper, a DH model of industrial robot, with anthropomorphic configuration and five degrees of freedom - Mitsubishi RV2AJ, is developed. The model is verified on the example robot Mitsubishi RV2AJ. In paper detailed represented the complete mathematical model of the robot and the parameters of the programming. On the basis of this model, simulation of robot motion from point to point is performed, as well as the continuous movement of the pre-defined path. Also, programming of industrial robots identical to simulation programs is made, and comparative analysis of real and simulated experiment is shown. In the final section, a detailed analysis of robot motion is described.

  16. Prognostic modelling options for remaining useful life estimation by industry

    Science.gov (United States)

    Sikorska, J. Z.; Hodkiewicz, M.; Ma, L.

    2011-07-01

    Over recent years a significant amount of research has been undertaken to develop prognostic models that can be used to predict the remaining useful life of engineering assets. Implementations by industry have only had limited success. By design, models are subject to specific assumptions and approximations, some of which are mathematical, while others relate to practical implementation issues such as the amount of data required to validate and verify a proposed model. Therefore, appropriate model selection for successful practical implementation requires not only a mathematical understanding of each model type, but also an appreciation of how a particular business intends to utilise a model and its outputs. This paper discusses business issues that need to be considered when selecting an appropriate modelling approach for trial. It also presents classification tables and process flow diagrams to assist industry and research personnel select appropriate prognostic models for predicting the remaining useful life of engineering assets within their specific business environment. The paper then explores the strengths and weaknesses of the main prognostics model classes to establish what makes them better suited to certain applications than to others and summarises how each have been applied to engineering prognostics. Consequently, this paper should provide a starting point for young researchers first considering options for remaining useful life prediction. The models described in this paper are Knowledge-based (expert and fuzzy), Life expectancy (stochastic and statistical), Artificial Neural Networks, and Physical models.

  17. Business Model Perusahaan Keluarga: Studi Kasus Pada Industri Batik

    Directory of Open Access Journals (Sweden)

    Achmad Sobirin

    2014-07-01

    Full Text Available AbstractThis paper was directed to review the existing busniness model of family firm within the contect of batik industry and propose a new one. Busniness model is conceived as the logic of doing business for value creation. Therefore business model is sometime understood as a construct, a mental model or a business paradigm, to be used as a guide on how to do every day’s business. Meanwhile, family firm, by definition is a firm in which the whole or majority of ownership is in the hand of family unit, managed by family members, and to be transferred to the next generation. Using a single case study that is Perusahaan Batik Bogavira – a family business enterprise producing and selling specifically batik Lampung, we identified that the existing business model of Perusahaan Batik Bogavira may potentially create cannibalism. Therefore we proposed a new business model configuration with the hope loyal buyers remain with the firm and at the same time firm can still maintain its growth.Keywords: business model, family firm, batik industry.Abstrak Paper ini membahas penerapan sebuah konsep yang relatif masih baru yaitu “business model” pada perusahaan keluarga yang bergerak di industry batik – Perusahaan Batik Bogavira yang memroduksi dan menjual batik khas Lampung. Tujuannya adalah untuk menelaah ulang business model berjalan sehingga bisa diketahui tingkat kecocokan business model tersebut dengan karakteristik bisnis dan lingkungannya, dan jika dianggap perlu mengusulkan business model baru yang lebih sesuai. Bahasan diawali dengan menelaah konsep business model dan perusahaan keluarga untuk mendapatkan gambaran tentang esensi kedua konsep tersebut. Secara umum business model adalah the logic of doing business for value creation sehingga business model sering disebut juga sebagai construct, mental model atau business paradigm yang menjadi panduan dalam menjalankan kegiatan bisnis. Sementara itu yang dimaksud dengan perusahaan keluarga

  18. A Long-Term Mathematical Model for Mining Industries

    OpenAIRE

    Achdou , Yves; Giraud , Pierre-Noel; Lasry , Jean-Michel; Lions , Pierre-Louis

    2016-01-01

    International audience; A parcimonious long term model is proposed for a mining industry. Knowing the dynamics of the global reserve, the strategy of each production unit consists of an optimal control problem with two controls, first the flux invested into prospection and the building of new extraction facilities, second the production rate. In turn, the dynamics of the global reserve depends on the individual strategies of the producers, so the models leads to an equilibrium, which is descr...

  19. Determinants of Brand Equity: Offering a Model to Chocolate Industry

    OpenAIRE

    Emari Hossien

    2011-01-01

    This study examined the underlying dimensions of brand equity in the chocolate industry. For this purpose, researchers developed a model to identify which factors are influential in building brand equity. The second purpose was to assess brand loyalty and brand images mediating effect between brand attitude, brand personality, brand association with brand equity. The study employed structural equation modeling to investigate the causal relationships between the dimensions...

  20. The Design of Integrated Tapioca Agro-Industries Development Model

    Directory of Open Access Journals (Sweden)

    Azmi Alvian Gabriel

    2014-05-01

    Full Text Available Tapioca is an agro-industries product with high consumption level that reached 1.132 million tons per year. However, that potential was not balanced with the productivity levels of tapioca industries due to weak capacity and production period. This research aims to design the development model of tapioca agro-industries which can produce in a sustainable way in terms of quality as well as quantity of product. Study of research location was in the Kaur Regency of Bengkulu Province. This research consists of three stages. The first study was conducted to know the projection of the raw materials availability and product demand using regression and quadratic equation smallest method. The result of calculation projections showed the availability of raw cassava achieved an average of 10 million tons per year and the demand for tapioca 1.36 million tons per year. The second study was done to determine the partnership patterns between company and farmers using pairwise comparison and rating scale methods. From the results of the research note that "Inti-plasma" was the most efficient partnership patterns applied to tapioca agro-industries. The third study was conducted to determine the feasibility of the planned development model. The calculation result of feasibility analysis show the value of benefit cost ratio of 1.23; payback period amounted to 1 year 2 months; net present value of IDR 143,285,734,440.98; internal rate of return 43.55%; and the profitability index 3.56. Based on the overall feasibility criteria, then the model development of tapioca agro-industries can be said to deserve to be realized.   Keywords: agro-industries, financial analyses, factory design, partnership patterns

  1. Industry

    International Nuclear Information System (INIS)

    Schindler, I.; Wiesenberger, H.

    2001-01-01

    This chapter of the environmental control report deals with the environmental impact of the industry in Austria. It gives a review of the structure and types of the industry, the legal framework and environmental policy of industrial relevance. The environmental situation of the industry in Austria is analyzed in detail, concerning air pollution (SO 2 , NO x , CO 2 , CO, CH 4 , N 2 O, NH 3 , Pb, Cd, Hg, dioxin, furans), waste water, waste management and deposit, energy and water consumption. The state of the art in respect of the IPPC-directives (European Integrated Pollution Prevention and Control Bureau) concerning the best available techniques of the different industry sectors is outlined. The application of European laws and regulations in the Austrian industry is described. (a.n.)

  2. Models for open innovation in the pharmaceutical industry.

    Science.gov (United States)

    Schuhmacher, Alexander; Germann, Paul-Georg; Trill, Henning; Gassmann, Oliver

    2013-12-01

    The nature of the pharmaceutical industry is such that the main driver for its growth is innovation. In view of the vast challenges that the industry has been facing for several years and, in particular, how to manage stagnating research and development (R&D) productivity, pharmaceutical companies have opened their R&D organizations to external innovation. Here, we identify and characterize four new types of open innovator, which we call 'knowledge creator', 'knowledge integrator', 'knowledge translator' and 'knowledge leverager', and which describe current open R&D models. Copyright © 2013 Elsevier Ltd. All rights reserved.

  3. Modeling operational risks of the nuclear industry with Bayesian networks

    International Nuclear Information System (INIS)

    Wieland, Patricia; Lustosa, Leonardo J.

    2009-01-01

    Basically, planning a new industrial plant requires information on the industrial management, regulations, site selection, definition of initial and planned capacity, and on the estimation of the potential demand. However, this is far from enough to assure the success of an industrial enterprise. Unexpected and extremely damaging events may occur that deviates from the original plan. The so-called operational risks are not only in the system, equipment, process or human (technical or managerial) failures. They are also in intentional events such as frauds and sabotage, or extreme events like terrorist attacks or radiological accidents and even on public reaction to perceived environmental or future generation impacts. For the nuclear industry, it is a challenge to identify and to assess the operational risks and their various sources. Early identification of operational risks can help in preparing contingency plans, to delay the decision to invest or to approve a project that can, at an extreme, affect the public perception of the nuclear energy. A major problem in modeling operational risk losses is the lack of internal data that are essential, for example, to apply the loss distribution approach. As an alternative, methods that consider qualitative and subjective information can be applied, for example, fuzzy logic, neural networks, system dynamic or Bayesian networks. An advantage of applying Bayesian networks to model operational risk is the possibility to include expert opinions and variables of interest, to structure the model via causal dependencies among these variables, and to specify subjective prior and conditional probabilities distributions at each step or network node. This paper suggests a classification of operational risks in industry and discusses the benefits and obstacles of the Bayesian networks approach to model those risks. (author)

  4. Modeling operational risks of the nuclear industry with Bayesian networks

    Energy Technology Data Exchange (ETDEWEB)

    Wieland, Patricia [Pontificia Univ. Catolica do Rio de Janeiro (PUC-Rio), RJ (Brazil). Dept. de Engenharia Industrial; Comissao Nacional de Energia Nuclear (CNEN), Rio de Janeiro, RJ (Brazil)], e-mail: pwieland@cnen.gov.br; Lustosa, Leonardo J. [Pontificia Univ. Catolica do Rio de Janeiro (PUC-Rio), RJ (Brazil). Dept. de Engenharia Industrial], e-mail: ljl@puc-rio.br

    2009-07-01

    Basically, planning a new industrial plant requires information on the industrial management, regulations, site selection, definition of initial and planned capacity, and on the estimation of the potential demand. However, this is far from enough to assure the success of an industrial enterprise. Unexpected and extremely damaging events may occur that deviates from the original plan. The so-called operational risks are not only in the system, equipment, process or human (technical or managerial) failures. They are also in intentional events such as frauds and sabotage, or extreme events like terrorist attacks or radiological accidents and even on public reaction to perceived environmental or future generation impacts. For the nuclear industry, it is a challenge to identify and to assess the operational risks and their various sources. Early identification of operational risks can help in preparing contingency plans, to delay the decision to invest or to approve a project that can, at an extreme, affect the public perception of the nuclear energy. A major problem in modeling operational risk losses is the lack of internal data that are essential, for example, to apply the loss distribution approach. As an alternative, methods that consider qualitative and subjective information can be applied, for example, fuzzy logic, neural networks, system dynamic or Bayesian networks. An advantage of applying Bayesian networks to model operational risk is the possibility to include expert opinions and variables of interest, to structure the model via causal dependencies among these variables, and to specify subjective prior and conditional probabilities distributions at each step or network node. This paper suggests a classification of operational risks in industry and discusses the benefits and obstacles of the Bayesian networks approach to model those risks. (author)

  5. Land transportation model for supply chain manufacturing industries

    Science.gov (United States)

    Kurniawan, Fajar

    2017-12-01

    Supply chain is a system that integrates production, inventory, distribution and information processes for increasing productivity and minimize costs. Transportation is an important part of the supply chain system, especially for supporting the material distribution process, work in process products and final products. In fact, Jakarta as the distribution center of manufacturing industries for the industrial area. Transportation system has a large influences on the implementation of supply chain process efficiency. The main problem faced in Jakarta is traffic jam that will affect on the time of distribution. Based on the system dynamic model, there are several scenarios that can provide solutions to minimize timing of distribution that will effect on the cost such as the construction of ports approaching industrial areas other than Tanjung Priok, widening road facilities, development of railways system, and the development of distribution center.

  6. New models for success emerge for US natural gas industry

    International Nuclear Information System (INIS)

    Addy, W.M.; Hutchinson, R.A.

    1994-01-01

    Very few companies in the US natural gas industry are confident in their ability to compete effectively in the brave new world of deregulation. Boston Consulting Group recently conducted an internal study to help the industry think about its future and identify models for success in this new environment. The authors examined the historical performance of 800 companies using several shareholder-value indicators, including cash-flow returns on investment, a measure of cash returns on cash invested that correlates closely to share price. Based on that review and discussions with investment managers and industry analysts, the authors were able to focus on a handful of companies that actually have thrived and created value against the difficult landscape of the past decade. Interviews with their senior executives provided important strategic and operational insights

  7. Modelling human resource requirements for the nuclear industry in Europe

    Energy Technology Data Exchange (ETDEWEB)

    Roelofs, Ferry [Nuclear Research and Consultancy Group (NRG) (Netherlands); Flore, Massimo; Estorff, Ulrik von [Joint Research Center (JRC) (Netherlands)

    2017-11-15

    The European Human Resource Observatory for Nuclear (EHRO-N) provides the European Commission with essential data related to supply and demand for nuclear experts in the EU-28 and the enlargement and integration countries based on bottom-up information from the nuclear industry. The objective is to assess how the supply of experts for the nuclear industry responds to the needs for the same experts for present and future nuclear projects in the region. Complementary to the bottom-up approach taken by the EHRO-N team at JRC, a top-down modelling approach has been taken in a collaboration with NRG in the Netherlands. This top-down modelling approach focuses on the human resource requirements for operation, construction, decommissioning, and efforts for long term operation of nuclear power plants. This paper describes the top-down methodology, the model input, the main assumptions, and the results of the analyses.

  8. A mathematical model for environmental risk assessment in manufacturing industry

    Institute of Scientific and Technical Information of China (English)

    何莉萍; 徐盛明; 陈大川; 党创寅

    2002-01-01

    Environmental conscious manufacturing has become an important issue in industry because of market pressure and environmental regulations. An environmental risk assessment model was developed based on the network analytic method and fuzzy set theory. The "interval analysis method" was applied to deal with the on-site monitoring data as basic information for assessment. In addition, the fuzzy set theory was employed to allow uncertain, interactive and dynamic information to be effectively incorporated into the environmental risk assessment. This model is a simple, practical and effective tool for evaluating the environmental risk of manufacturing industry and for analyzing the relative impacts of emission wastes, which are hazardous to both human and ecosystem health. Furthermore, the model is considered useful for design engineers and decision-maker to design and select processes when the costs, environmental impacts and performances of a product are taken into consideration.

  9. Modelling human resource requirements for the nuclear industry in Europe

    International Nuclear Information System (INIS)

    Roelofs, Ferry; Flore, Massimo; Estorff, Ulrik von

    2017-01-01

    The European Human Resource Observatory for Nuclear (EHRO-N) provides the European Commission with essential data related to supply and demand for nuclear experts in the EU-28 and the enlargement and integration countries based on bottom-up information from the nuclear industry. The objective is to assess how the supply of experts for the nuclear industry responds to the needs for the same experts for present and future nuclear projects in the region. Complementary to the bottom-up approach taken by the EHRO-N team at JRC, a top-down modelling approach has been taken in a collaboration with NRG in the Netherlands. This top-down modelling approach focuses on the human resource requirements for operation, construction, decommissioning, and efforts for long term operation of nuclear power plants. This paper describes the top-down methodology, the model input, the main assumptions, and the results of the analyses.

  10. Model oriented application generation for industrial control systems

    International Nuclear Information System (INIS)

    Copy, B.; Barillere, R.; Blanco, E.; Fernandez Adiego, B.; Nogueira Fernandes, R.; Prieto Barreiro, I.

    2012-01-01

    The CERN Unified Industrial Control Systems framework (UNICOS) is a software generation methodology and a collection of development tools that standardizes the design of industrial control applications. A Software Factory, named the UNICOS Application Builder (UAB), was introduced to ease extensibility and maintenance of the framework, introducing a stable meta-model, a set of platform-independent models and platform-specific configurations against which code generation plug-ins and configuration generation plug-ins can be written. Such plug-ins currently target PLC programming environments (Schneider and SIEMENS PLCs) as well as SIEMENS WinCC Open Architecture SCADA (previously known as ETM PVSS) but are being expanded to cover more and more aspects of process control systems. We present what constitutes the UNICOS meta-model and the models in use, how these models can be used to capture knowledge about industrial control systems and how this knowledge can be used to generate both code and configuration for a variety of target usages. (authors)

  11. PFEM-based modeling of industrial granular flows

    Science.gov (United States)

    Cante, J.; Dávalos, C.; Hernández, J. A.; Oliver, J.; Jonsén, P.; Gustafsson, G.; Häggblad, H.-Å.

    2014-05-01

    The potential of numerical methods for the solution and optimization of industrial granular flows problems is widely accepted by the industries of this field, the challenge being to promote effectively their industrial practice. In this paper, we attempt to make an exploratory step in this regard by using a numerical model based on continuous mechanics and on the so-called Particle Finite Element Method (PFEM). This goal is achieved by focusing two specific industrial applications in mining industry and pellet manufacturing: silo discharge and calculation of power draw in tumbling mills. Both examples are representative of variations on the granular material mechanical response—varying from a stagnant configuration to a flow condition. The silo discharge is validated using the experimental data, collected on a full-scale flat bottomed cylindrical silo. The simulation is conducted with the aim of characterizing and understanding the correlation between flow patterns and pressures for concentric discharges. In the second example, the potential of PFEM as a numerical tool to track the positions of the particles inside the drum is analyzed. Pressures and wall pressures distribution are also studied. The power draw is also computed and validated against experiments in which the power is plotted in terms of the rotational speed of the drum.

  12. Continuous business model innovation in the Danish newspaper industry

    DEFF Research Database (Denmark)

    Holm, Anna B.; Günzel, Franziska

    Business model innovation is undoubtedly of strategic importance in innovation management. However, little is known on how in fact how companies experiment and innovate with regards to their business models. To shed more light on this issue, we have conducted a qualitative study of the newspaper...... industry in Denmark. Business model innovation became imperative for the traditional newspaper publishers after many years of the declining readership and revenues. We collected rich primary and secondary data from various sources during 2010-2012. Our analysis suggests that changing business models in its...... various parts does not guarantee a successful business model change and may even harm the existing well-functioning business model. To innovate a business model successfully, managers need to secure the business logic flow and its feedback loops....

  13. A production model and maintenance planning model for the process industry

    NARCIS (Netherlands)

    Ashayeri, J.; Teelen, A.; Selen, W.J.

    1995-01-01

    In this paper a model is developed to simultaneously plan preventive maintenance and production in a process industry environment, where maintenance planning is extremely important. The model schedules production jobs and preventive maintenance jobs, while minimizing costs associated with

  14. A model for Long-term Industrial Energy Forecasting (LIEF)

    Energy Technology Data Exchange (ETDEWEB)

    Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

    1992-02-01

    The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

  15. A model for Long-term Industrial Energy Forecasting (LIEF)

    Energy Technology Data Exchange (ETDEWEB)

    Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

    1992-02-01

    The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

  16. A Novel of Hybrid Maintenance Management Models for Industrial Applications

    OpenAIRE

    Tahir, Zulkifli

    2010-01-01

    It is observed through empirical studies that the effectiveness of industrial process have been increased by a well organized of machines maintenance structure. In current research, a novel of maintenance concept has been designed by hybrid several maintenance management models with Decision Making Grid (DMG), Analytic Hierarchy Process (AHP) and Fuzzy Logic. The concept is designed for maintenance personnel to evaluate and benchmark the maintenance operations and to reveal important maintena...

  17. Studying and modelling variable density turbulent flows for industrial applications

    Energy Technology Data Exchange (ETDEWEB)

    Chabard, J.P.; Simonin, O.; Caruso, A.; Delalondre, C.; Dalsecco, S.; Mechitoua, N.

    1996-07-01

    Industrial applications are presented in the various fields of interest for EDF. A first example deals with transferred electric arcs couplings flow and thermal transfer in the arc and in the bath of metal and is related with applications of electricity. The second one is the combustion modelling in burners of fossil power plants. The last one comes from the nuclear power plants and concerns the stratified flows in a nuclear reactor building. (K.A.). 18 refs.

  18. Studying and modelling variable density turbulent flows for industrial applications

    International Nuclear Information System (INIS)

    Chabard, J.P.; Simonin, O.; Caruso, A.; Delalondre, C.; Dalsecco, S.; Mechitoua, N.

    1996-07-01

    Industrial applications are presented in the various fields of interest for EDF. A first example deals with transferred electric arcs couplings flow and thermal transfer in the arc and in the bath of metal and is related with applications of electricity. The second one is the combustion modelling in burners of fossil power plants. The last one comes from the nuclear power plants and concerns the stratified flows in a nuclear reactor building. (K.A.)

  19. Selected developments and applications of Leontief models in industrial ecology

    International Nuclear Information System (INIS)

    Stroemman, Anders Hammer

    2005-01-01

    Thesis Outline: This thesis investigates issues of environmental repercussions on processes of three spatial scales; a single process plant, a regional value chain and the global economy. The first paper investigates environmental repercussions caused by a single process plant using an open Leontief model with combined physical and monetary units in what is commonly referred to as a hybrid life cycle model. Physical capital requirements are treated as any other good. Resources and environmental stressors, thousands in total, are accounted for and assessed by aggregation using standard life cycle impact assessment methods. The second paper presents a methodology for establishing and combining input-output matrices and life-cycle inventories in a hybrid life cycle inventory. Information contained within different requirements matrices are combined and issues of double counting that arise are addressed and methods for eliminating these are developed and presented. The third paper is an extension of the first paper. Here the system analyzed is increased from a single plant and component in the production network to a series of nodes, constituting a value chain. The hybrid framework proposed in paper two is applied to analyze the use of natural gas, methanol and hydrogen as transportation fuels. The fourth paper presents the development of a World Trade Model with Bilateral Trade, an extension of the World Trade Model (Duchin, 2005). The model is based on comparative advantage and is formulated as a linear program. It endogenously determines the regional output of sectors and bilateral trade flows between regions. The model may be considered a Leontief substitution model where substitution of production is allowed between regions. The primal objective of the model requires the minimization of global factor costs. The fifth paper demonstrates how the World Trade Model with Bilateral Trade can be applied to address questions relevant for industrial ecology. The model is

  20. Industrialization

    African Journals Online (AJOL)

    Lucy

    . African states as ... regarded as the most important ingredients that went to add value to land and labour in order for countries ... B. Sutcliffe Industry and Underdevelopment (Massachusetts Addison – Wesley Publishing Company. 1971), pp.

  1. Mathematical modelling of thermal storage systems for the food industry

    Energy Technology Data Exchange (ETDEWEB)

    Lopez, A.; Lacarra, G. [Universidad Publica de Navarra Campus Arrosadia, Pamplona (Spain). Area de Tecnologia de Alimentos

    1999-07-01

    Dynamic mathematical models of two thermal storage systems used in the food industry to produce chilled water are presented; an ice-bank system and a holding tank system. The variability of the refrigeration demand with time was taken into account in the model. A zoned approach using mass and energy balances was applied. Heat transfer phenomena in the evaporator were modelled using empirical correlations. The experimental validation of the mathematical models on an ice-bank system at pilot plant scale, and a centralized refrigeration system with a holding tank in a winery, showed accurate prediction. Simple models are adequate to predict the dynamic behaviour of these refrigeration systems under variable heat loads. (Author)

  2. Sustainable business models and the automotive industry: A commentary

    Directory of Open Access Journals (Sweden)

    Peter Wells

    2013-12-01

    Full Text Available This commentary reviews the position articulated in an article published in 2004 that the business model prevalent in the automotive industry was inadequate to meeting the challenge of sustainability, and reviews the key developments since then. The most noticeable developments the commentary traces are the growth in academic interest in business models, a more responsive government policy particularly in respect of new technologies, and the practical application of the concepts and ideas mooted in the original paper, notably with respect to electric vehicles.

  3. Industry

    Energy Technology Data Exchange (ETDEWEB)

    Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

    2007-12-01

    This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of

  4. A room acoustical computer model for industrial environments - the model and its verification

    DEFF Research Database (Denmark)

    Christensen, Claus Lynge; Foged, Hans Torben

    1998-01-01

    This paper presents an extension to the traditional room acoustic modelling methods allowing computer modelling of huge machinery in industrial spaces. The program in question is Odeon 3.0 Industrial and Odeon 3.0 Combined which allows the modelling of point sources, surface sources and line...... of an omnidirectional sound source and a microphone. This allows the comparison of simulated results with the ones measured in real rooms. However when simulating the acoustic environment in industrial rooms, the sound sources are often far from being point like, as they can be distributed over a large space...

  5. Genome-scale biological models for industrial microbial systems.

    Science.gov (United States)

    Xu, Nan; Ye, Chao; Liu, Liming

    2018-04-01

    The primary aims and challenges associated with microbial fermentation include achieving faster cell growth, higher productivity, and more robust production processes. Genome-scale biological models, predicting the formation of an interaction among genetic materials, enzymes, and metabolites, constitute a systematic and comprehensive platform to analyze and optimize the microbial growth and production of biological products. Genome-scale biological models can help optimize microbial growth-associated traits by simulating biomass formation, predicting growth rates, and identifying the requirements for cell growth. With regard to microbial product biosynthesis, genome-scale biological models can be used to design product biosynthetic pathways, accelerate production efficiency, and reduce metabolic side effects, leading to improved production performance. The present review discusses the development of microbial genome-scale biological models since their emergence and emphasizes their pertinent application in improving industrial microbial fermentation of biological products.

  6. Hybrid Building Performance Simulation Models for Industrial Energy Efficiency Applications

    Directory of Open Access Journals (Sweden)

    Peter Smolek

    2018-06-01

    Full Text Available In the challenge of achieving environmental sustainability, industrial production plants, as large contributors to the overall energy demand of a country, are prime candidates for applying energy efficiency measures. A modelling approach using cubes is used to decompose a production facility into manageable modules. All aspects of the facility are considered, classified into the building, energy system, production and logistics. This approach leads to specific challenges for building performance simulations since all parts of the facility are highly interconnected. To meet this challenge, models for the building, thermal zones, energy converters and energy grids are presented and the interfaces to the production and logistics equipment are illustrated. The advantages and limitations of the chosen approach are discussed. In an example implementation, the feasibility of the approach and models is shown. Different scenarios are simulated to highlight the models and the results are compared.

  7. Challenges in Materials Transformation Modeling for Polyolefins Industry

    Science.gov (United States)

    Lai, Shih-Yaw; Swogger, Kurt W.

    2004-06-01

    Unlike most published polymer processing and/or forming research, the transformation of polyolefins to fabricated articles often involves non-confined flow or so-called free surface flow (e.g. fiber spinning, blown films, and cast films) in which elongational flow takes place during a fabrication process. Obviously, the characterization and validation of extensional rheological parameters and their use to develop rheological constitutive models are the focus of polyolefins materials transformation research. Unfortunately, there are challenges that remain with limited validation for non-linear, non-isothermal constitutive models for polyolefins. Further complexity arises in the transformation of polyolefins in the elongational flow system as it involves stress-induced crystallization process. The complicated nature of elongational, non-linear rheology and non-isothermal crystallization kinetics make the development of numerical methods very challenging for the polyolefins materials forming modeling. From the product based company standpoint, the challenges of materials transformation research go beyond elongational rheology, crystallization kinetics and its numerical modeling. In order to make models useful for the polyolefin industry, it is critical to develop links between molecular parameters to both equipment and materials forming parameters. The recent advances in the constrained geometry catalysis and materials sciences understanding (INSITE technology and molecular design capability) has made industrial polyolefinic materials forming modeling more viable due to the fact that the molecular structure of the polymer can be well predicted and controlled during the polymerization. In this paper, we will discuss inter-relationship (models) among molecular parameters such as polymer molecular weight (Mw), molecular weight distribution (MWD), long chain branching (LCB), short chain branching (SCB or comonomer types and distribution) and their affects on shear and

  8. Analisis Loyalitas Pelanggan Industri Jasa Pengiriman Menggunakan Structural Equation Modeling

    Directory of Open Access Journals (Sweden)

    Sarika Zuhri

    2017-01-01

    Full Text Available Customer loyalty is important for both product and service industries. A loyal customer keeps using the company’s product and services. For a shipping service company, retaining existing customers in order to remain faithful will certainly be very crucial. This study was to determine relationship between variables affecting customer loyalty at PT. Pos Indonesia-Banda Aceh, a shipping service industry. The research used Structural Equation Modeling (SEM and with samples of 153 questionnaires obtained through a non-probability sampling technique. By using AMOS software, it can be concluded that the perceived quality does affect customer satisfaction, perceived value has influence on the customer satisfaction, the customer satisfaction is influential to trust and the trust itself has positive influence on customer loyalty.

  9. Operational risk quantification and modelling within Romanian insurance industry

    Directory of Open Access Journals (Sweden)

    Tudor Răzvan

    2017-07-01

    Full Text Available This paper aims at covering and describing the shortcomings of various models used to quantify and model the operational risk within insurance industry with a particular focus on Romanian specific regulation: Norm 6/2015 concerning the operational risk issued by IT systems. While most of the local insurers are focusing on implementing the standard model to compute the Operational Risk solvency capital required, the local regulator has issued a local norm that requires to identify and assess the IT based operational risks from an ISO 27001 perspective. The challenges raised by the correlations assumed in the Standard model are substantially increased by this new regulation that requires only the identification and quantification of the IT operational risks. The solvency capital requirement stipulated by the implementation of Solvency II doesn’t recommend a model or formula on how to integrate the newly identified risks in the Operational Risk capital requirements. In this context we are going to assess the academic and practitioner’s understanding in what concerns: The Frequency-Severity approach, Bayesian estimation techniques, Scenario Analysis and Risk Accounting based on risk units, and how they could support the modelling of operational risk that are IT based. Developing an internal model only for the operational risk capital requirement proved to be, so far, costly and not necessarily beneficial for the local insurers. As the IT component will play a key role in the future of the insurance industry, the result of this analysis will provide a specific approach in operational risk modelling that can be implemented in the context of Solvency II, in a particular situation when (internal or external operational risk databases are scarce or not available.

  10. Modelling of industrial robot in LabView Robotics

    Science.gov (United States)

    Banas, W.; Cwikła, G.; Foit, K.; Gwiazda, A.; Monica, Z.; Sekala, A.

    2017-08-01

    Currently can find many models of industrial systems including robots. These models differ from each other not only by the accuracy representation parameters, but the representation range. For example, CAD models describe the geometry of the robot and some even designate a mass parameters as mass, center of gravity, moment of inertia, etc. These models are used in the design of robotic lines and sockets. Also systems for off-line programming use these models and many of them can be exported to CAD. It is important to note that models for off-line programming describe not only the geometry but contain the information necessary to create a program for the robot. Exports from CAD to off-line programming system requires additional information. These models are used for static determination of reachability points, and testing collision. It’s enough to generate a program for the robot, and even check the interaction of elements of the production line, or robotic cell. Mathematical models allow robots to study the properties of kinematic and dynamic of robot movement. In these models the geometry is not so important, so are used only selected parameters such as the length of the robot arm, the center of gravity, moment of inertia. These parameters are introduced into the equations of motion of the robot and motion parameters are determined.

  11. The Industry 4.0 Journey: Start the Learning Journey with the Reference Architecture Model Industry 4.0

    DEFF Research Database (Denmark)

    Nardello, Marco; Møller, Charles; Gøtze, John

    2017-01-01

    The wave of the fourth industrial revolution (Industry 4.0) is breaking on manufacturing companies. In manufacturing, one of the buzzwords of the moment is "Smart production". Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data....... Model Industry 4.0 (RAMI4.0) standard for Smart production. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment....

  12. Model for determining and optimizing delivery performance in industrial systems

    Directory of Open Access Journals (Sweden)

    Fechete Flavia

    2017-01-01

    Full Text Available Performance means achieving organizational objectives regardless of their nature and variety, and even overcoming them. Improving performance is one of the major goals of any company. Achieving the global performance means not only obtaining the economic performance, it is a must to take into account other functions like: function of quality, delivery, costs and even the employees satisfaction. This paper aims to improve the delivery performance of an industrial system due to their very low results. The delivery performance took into account all categories of performance indicators, such as on time delivery, backlog efficiency or transport efficiency. The research was focused on optimizing the delivery performance of the industrial system, using linear programming. Modeling the delivery function using linear programming led to obtaining precise quantities to be produced and delivered each month by the industrial system in order to minimize their transport cost, satisfying their customers orders and to control their stock. The optimization led to a substantial improvement in all four performance indicators that concern deliveries.

  13. Implementation of building information modeling in Malaysian construction industry

    Science.gov (United States)

    Memon, Aftab Hameed; Rahman, Ismail Abdul; Harman, Nur Melly Edora

    2014-10-01

    This study has assessed the implementation level of Building Information Modeling (BIM) in the construction industry of Malaysia. It also investigated several computer software packages facilitating BIM and challenges affecting its implementation. Data collection for this study was carried out using questionnaire survey among the construction practitioners. 95 completed forms of questionnaire received against 150 distributed questionnaire sets from consultant, contractor and client organizations were analyzed statistically. Analysis findings indicated that the level of implementation of BIM in the construction industry of Malaysia is very low. Average index method employed to assess the effectiveness of various software packages of BIM highlighted that Bentley construction, AutoCAD and ArchiCAD are three most popular and effective software packages. Major challenges to BIM implementation are it requires enhanced collaboration, add work to a designer, interoperability and needs enhanced collaboration. For improving the level of implementing BIM in Malaysian industry, it is recommended that a flexible training program of BIM for all practitioners must be created.

  14. Modelling system development of risky industry on world experience base

    Directory of Open Access Journals (Sweden)

    O.T. Polishchuk

    2017-12-01

    Full Text Available The paper researches the tendencies and dynamic characteristics of risky business. The means of development stimulation in risky business in the USA are examined. The factors for insurance companies, banks, retirement funds of their investors’ function inability are explained. The multichoice model of economy structure transformation according to the innovative changes and regulatory policy is developed. The authors systematize the factors, which determine the branch attraction for risky investment. Four scenarios for the development of risky industry in Ukraine are studied and the matrix of their development is formed.

  15. Fuzzy Models to Deal with Sensory Data in Food Industry

    Institute of Scientific and Technical Information of China (English)

    Serge Guillaume; Brigitte Charnomordic

    2004-01-01

    Sensory data are, due to the lack of an absolute reference, imprecise and uncertain data. Fuzzy logic can handle uncertainty and can be used in approximate reasoning. Automatic learning procedures allow to generate fuzzy reasoning rules from data including numerical and symbolic or sensory variables. We briefly present an induction method that was developed to extract qualitative knowledge from data samples. The induction process is run under interpretability constraints to ensure the fuzzy rules have a meaning for the human expert. We then study two applied problems in the food industry: sensory evaluation and process modeling.

  16. Tool Efficiency Analysis model research in SEMI industry

    Directory of Open Access Journals (Sweden)

    Lei Ma

    2018-01-01

    Full Text Available One of the key goals in SEMI industry is to improve equipment through put and ensure equipment production efficiency maximization. This paper is based on SEMI standards in semiconductor equipment control, defines the transaction rules between different tool states,and presents a TEA system model which is to analysis tool performance automatically based on finite state machine. The system was applied to fab tools and verified its effectiveness successfully, and obtained the parameter values used to measure the equipment performance, also including the advices of improvement.

  17. E-Business Models In The Travel Industry

    OpenAIRE

    Alford, Philip

    2000-01-01

    Drawing on recently published data, this report examines some of the trends in travel e-commerce. Using a case study approach, the author examines in detail some of the e-business models impacting on the travel industry both in the Business-to-Business (B2B) and Business-to-Consumer (B2C) markets. Although B2C leisure transactions currently account for just 1% of the value of global travel, there is real potential for future growth. However to be successful both new entrants and existing play...

  18. Foresight Model of Turkey's Defense Industries' Space Studies until 2040

    Science.gov (United States)

    Yuksel, Nurdan; Cifci, Hasan; Cakir, Serhat

    2016-07-01

    Being advanced in science and technology is inevitable reality in order to be able to have a voice in the globalized world. Therefore, for the countries, making policies in consistent with their societies' intellectual, economic and political infrastructure and attributing them to the vision having been embraced by all parties of the society is quite crucial for the success. The generated policies are supposed to ensure the usage of countries' resources in the most effective and fastest way, determine the priorities and needs of society and set their goals and related roadmaps. In this sense, technology foresight studies based on justified forecasting in science and technology have critical roles in the process of developing policies. In this article, Foresight Model of Turkey's Defense Industries' Space Studies, which is turned out to be the important part of community life and fundamental background of most technologies, up to 2040 is presented. Turkey got late in space technology studies. Hence, for being fast and efficient to use its national resources in a cost effective way and within national and international collaboration, it should be directed to its pre-set goals. By taking all these factors into consideration, the technology foresight model of Turkey's Defense Industry's Space Studies was presented in the study. In the model, the present condition of space studies in the World and Turkey was analyzed; literature survey and PEST analysis were made. PEST analysis will be the inputs of SWOT analysis and Delphi questionnaire will be used in the study. A two-round Delphi survey will be applied to the participants from universities, public and private organizations operating in space studies at Defense Industry. Critical space technologies will be distinguished according to critical technology measures determined by expert survey; space technology fields and goals will be established according to their importance and feasibility indexes. Finally, for the

  19. An integrated occupational hygiene consultation model for the catering industry.

    Science.gov (United States)

    Lin, Yi-Kuei; Lee, Lien-Hsiung

    2010-07-01

    Vegetable oil used in food processing, during high-temperature exposure, will generate particulate matter (PM) and polycyclic aromatic hydrocarbons (PAHs), which are carcinogenic chemical compounds, with the potential to cause lung disease for restaurant kitchen staff. This study's design includes a three-stage consultation process with eight major consultation items, in order to build an integrated consultation model for occupational hygiene. This model combines inspection and consultation, targeting Chinese restaurants in the catering industry. Characteristics of the integrated consultation model include cooperation between different government departments and collaboration with nongovernmental, professional consulting organizations. An additional benefit of the model is the building of a good partnership relationship with the Catering Trade Association. The consultation model helps Chinese restaurants attain improvements in their work environments with minimal investment. Postconsultation, results show a 63.35% and 61.98% (P < 0.001) decrease in the mean time-weighted concentration of exposure to PM and PAHs, respectively. The overall regulation compliance rate of Chinese restaurants significantly increased from 34.3% to 89.6%. These results show that the integrated consultation model for occupational hygiene not only helps small and medium enterprises reduce exposure concentrations in the workplace but also has specific potential for successful implementation in Taiwan.

  20. Process model economics of xanthan production from confectionery industry wastewaters.

    Science.gov (United States)

    Bajić, Bojana Ž; Vučurović, Damjan G; Dodić, Siniša N; Grahovac, Jovana A; Dodić, Jelena M

    2017-12-01

    In this research a process and cost model for a xanthan production facility was developed using process simulation software (SuperPro Designer ® ). This work represents a novelty in the field for two reasons. One is that xanthan gum has been produced from several wastes but never from wastewaters from confectionery industries. The other more important is that the aforementioned software, which in intended exclusively for bioprocesses, is used for generating a base case, i.e. starting point for transferring the technology to industrial scales. Previously acquired experimental knowledge about using confectionery wastewaters from five different factories as substitutes for commercially used cultivation medium have been incorporated into the process model in order to obtain an economic viability of implementing such substrates. A lower initial sugar content in the medium based on wastewater (28.41 g/L) compared to the synthetic medium (30.00 g/L) gave a lower xanthan content at the end of cultivation (23.98 and 26.27 g/L, respectively). Although this resulted in somewhat poorer economic parameters, they were still in the range of being an investment of interest. Also the possibility of utilizing a cheap resource (waste) and reducing pollution that would result from its disposal has a positive effect on the environment. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. Model Perilaku Keselamatan Kerja Karyawan pada Industri Berisiko Tinggi

    Directory of Open Access Journals (Sweden)

    Usep Firdaus Huda

    2016-04-01

    Full Text Available Abstract. Workplace accident rate in Indonesia is still high and likely to increase each year. The most dominant factor which causes accidents to happen in high-risk industries is because of the low behaviour of the workers' safety work. The research was conducted on the employees of LPG Bulk Filling Station (SPBE in Bogor Region. The aim of this research is conducted to develop a model of the worker's safety behavior on high-risk industries. Some of the factors that have an influence on the safety behavior, among others: safety leadership style, safety climate, job satisfaction, fatigue, and safety motivation. The population of this research is all employees of SPBE ini Bogor region. The samples were taken by using multy stage cluster random sampling technique with two stages. The first stage, SPBE separated by location, and the second, employees is separated by working environment; office and field. A total of 100 questionnaires were distributed, of which 92 were returned and 69 were analyzed. Respondent data were analyzed by SEM-PLS using smart PLS software. The resulting model showed that safety leadership by participating and delegating style has a positive effect on safety climate and workers' safety behaviour. Worker's safety motivation has a positive effect on workers' safety behaviour, and worker's safety motivation affected by the safety climate. Keywords: safety climate, safety leadership, safety motivation, safety behaviour, workplace accident

  2. Numerical modelling of an industrial glass-melting furnace

    Energy Technology Data Exchange (ETDEWEB)

    Hill, S C [Brigham Young Univ., Advanced Combustion Engineering Research Center, Provo, UT (United States); Webb, B W; McQuay, M Q [Brigham Young Univ., Mechanical Engineering Dept., Provo, UT (United States); Newbold, J [Lockheed Aerospace, Denver, CO (United States)

    2000-03-01

    The predictive capability of two comprehensive combustion codes, PCGC-3 and FLUENT, to simulate local flame structure and combustion characteristics in a industrial gas-fired, flat-glass furnace is investigated. Model predictions are compared with experimental data from the furnace for profiles of velocity, species concentrations, temperatures, and wall-incident radiative heat flux. Predictions from both codes show agreement with the measured mean velocity profiles and incident radiant flux on the crown. However, significant differences between the code predictions and measurements are observed for the flame-ozone temperatures and species concentrations. The observed discrepancies may be explained by (i) uncertainties in the distributions of mean velocity and turbulence in the portneck, (ii) uncertainties in the port-by-port stoichiometry, (iii) different grid-based approximations to the furnace geometry made in the two codes, (iv) the assumption of infinitely fast chemistry made in the chemical reaction model of both codes, and (v) simplifying assumptions made in the simulations regarding the complex coupling between the combustion space, batch blanket, and melt tank. The study illustrates the critical need for accurate boundary conditions (inlet air and fuel flow distributions, boundary surface temperatures, etc.) and the importance of representative furnace geometry in simulating these complex industrial combustion systems. (Author)

  3. Derivative Process Model of Development Power in Industry: Empirical Research and Forecast for Chinese Software Industry and US Economy

    OpenAIRE

    Feng Dai; Bao- hua Sun; Jie Sun

    2004-01-01

    Based on concept and theory of Development Power [1], this paper analyzes the transferability and the diffusibility of industrial development power, points out that the chaos is the extreme of DP releasing and order is the highest degree of DP accumulating, puts forward A-C strength, the index of adjusting and controlling strength, and sets up the derivative process model for industrial development power on the Partial Distribution [2]-[4]. By the derivative process model, a kind of time seri...

  4. Innovative model of development of traditionally industrial territories

    Directory of Open Access Journals (Sweden)

    Olga Anatolyevna Kozlova

    2012-09-01

    Full Text Available The consideration in this paper is given to innovative model of development of traditionally industrial territories. We emphasize the following basic approaches to the employment of innovative potential of territories: diversification and restructuring of local economy, integration and disintegration of life-sustaining activity of neighboring territories, progressive economic advance, as well as simultaneous combination of several approaches (mixed model. Progressive model of development is sufficiently popular and is related tothe increasing already existing potential of territories. In practice,it doesn’t generally suppose essential changes in sectoral structure of local economy and means developing existing productions and spheres of activity of territory. Mixed model of structural transformations is characterized through the fact, that it supposes simultaneous use of different elements from the models counted. It allows: firstly, to adopt in a bigger extent a complex of measures to conditions of certain territory; secondly, to take into account a broader range of exogenous and endogenous factors; thirdly, to raise the effectiveness of the program of structural transformations being realized

  5. Pharmaceutical industry and trade liberalization using computable general equilibrium model.

    Science.gov (United States)

    Barouni, M; Ghaderi, H; Banouei, Aa

    2012-01-01

    Computable general equilibrium models are known as a powerful instrument in economic analyses and widely have been used in order to evaluate trade liberalization effects. The purpose of this study was to provide the impacts of trade openness on pharmaceutical industry using CGE model. Using a computable general equilibrium model in this study, the effects of decrease in tariffs as a symbol of trade liberalization on key variables of Iranian pharmaceutical products were studied. Simulation was performed via two scenarios in this study. The first scenario was the effect of decrease in tariffs of pharmaceutical products as 10, 30, 50, and 100 on key drug variables, and the second was the effect of decrease in other sectors except pharmaceutical products on vital and economic variables of pharmaceutical products. The required data were obtained and the model parameters were calibrated according to the social accounting matrix of Iran in 2006. The results associated with simulation demonstrated that the first scenario has increased import, export, drug supply to markets and household consumption, while import, export, supply of product to market, and household consumption of pharmaceutical products would averagely decrease in the second scenario. Ultimately, society welfare would improve in all scenarios. We presents and synthesizes the CGE model which could be used to analyze trade liberalization policy issue in developing countries (like Iran), and thus provides information that policymakers can use to improve the pharmacy economics.

  6. A Long-Term Mathematical Model for Mining Industries

    International Nuclear Information System (INIS)

    Achdou, Yves; Giraud, Pierre-Noel; Lasry, Jean-Michel; Lions, Pierre-Louis

    2016-01-01

    A parcimonious long term model is proposed for a mining industry. Knowing the dynamics of the global reserve, the strategy of each production unit consists of an optimal control problem with two controls, first the flux invested into prospection and the building of new extraction facilities, second the production rate. In turn, the dynamics of the global reserve depends on the individual strategies of the producers, so the models leads to an equilibrium, which is described by low dimensional systems of partial differential equations. The dimensionality depends on the number of technologies that a mining producer can choose. In some cases, the systems may be reduced to a Hamilton–Jacobi equation which is degenerate at the boundary and whose right hand side may blow up at the boundary. A mathematical analysis is supplied. Then numerical simulations for models with one or two technologies are described. In particular, a numerical calibration of the model in order to fit the historical data is carried out.

  7. A Long-Term Mathematical Model for Mining Industries

    Energy Technology Data Exchange (ETDEWEB)

    Achdou, Yves, E-mail: achdou@ljll.univ-paris-diderot.fr [Univ. Paris Diderot, Sorbonne Paris Cité, Laboratoire Jacques-Louis Lions, UMR 7598, UPMC, CNRS (France); Giraud, Pierre-Noel [CERNA, Mines ParisTech (France); Lasry, Jean-Michel [Univ. Paris Dauphine (France); Lions, Pierre-Louis [Collège de France (France)

    2016-12-15

    A parcimonious long term model is proposed for a mining industry. Knowing the dynamics of the global reserve, the strategy of each production unit consists of an optimal control problem with two controls, first the flux invested into prospection and the building of new extraction facilities, second the production rate. In turn, the dynamics of the global reserve depends on the individual strategies of the producers, so the models leads to an equilibrium, which is described by low dimensional systems of partial differential equations. The dimensionality depends on the number of technologies that a mining producer can choose. In some cases, the systems may be reduced to a Hamilton–Jacobi equation which is degenerate at the boundary and whose right hand side may blow up at the boundary. A mathematical analysis is supplied. Then numerical simulations for models with one or two technologies are described. In particular, a numerical calibration of the model in order to fit the historical data is carried out.

  8. Multilevel model of safety climate for furniture industries.

    Science.gov (United States)

    Rodrigues, Matilde A; Arezes, Pedro M; Leão, Celina P

    2015-01-01

    Furniture companies can analyze their safety status using quantitative measures. However, the data needed are not always available and the number of accidents is under-reported. Safety climate scales may be an alternative. However, there are no validated Portuguese scales that account for the specific attributes of the furniture sector. The current study aims to develop and validate an instrument that uses a multilevel structure to measure the safety climate of the Portuguese furniture industry. The Safety Climate in Wood Industries (SCWI) model was developed and applied to the safety climate analysis using three different scales: organizational, group and individual. A multilevel exploratory factor analysis was performed to analyze the factorial structure. The studied companies' safety conditions were also analyzed. Different factorial structures were found between and within levels. In general, the results show the presence of a group-level safety climate. The scores of safety climates are directly and positively related to companies' safety conditions; the organizational scale is the one that best reflects the actual safety conditions. The SCWI instrument allows for the identification of different safety climates in groups that comprise the same furniture company and it seems to reflect those groups' safety conditions. The study also demonstrates the need for a multilevel analysis of the studied instrument.

  9. Modeling policy mix to improve the competitiveness of Indonesian palm oil industry

    Energy Technology Data Exchange (ETDEWEB)

    Silitonga, R. Y.H.; Siswanto, J.; Simatupang, T.; Bahagia, S.N.

    2016-07-01

    The purpose of this research is to develop a model that will explain the impact of government policies to the competitiveness of palm oil industry. The model involves two commodities in this industry, namely crude palm oil (CPO) and refined palm oil (RPO), each has different added value. The model built will define the behavior of government in controlling palm oil industry, and their interactions with macro-environment, in order to improve the competitiveness of the industry. Therefore the first step was to map the main activities in this industry using value chain analysis. After that a conceptual model was built, where the output of the model is competitiveness of the industry based on market share. The third step was model formulation. The model is then utilized to simulate the policy mix given by government in improving the competitiveness of Palm Oil Industry. The model was developed using only some policies which give direct impact to the competitiveness of the industry. For macro environment input, only price is considered in this model. The model can simulate the output of the industry for various government policies mix given to the industry. This research develops a model that can represent the structure and relationship between industry, government and macro environment, using value chain analysis and hierarchical multilevel system approach. (Author)

  10. Modeling policy mix to improve the competitiveness of Indonesian palm oil industry

    Directory of Open Access Journals (Sweden)

    Roland Y H Silitonga

    2016-04-01

    Full Text Available Purpose: The purpose of this research is to develop a model that will explain the impact of government policies to the competitiveness of palm oil industry. The model involves two commodities in this industry, namely crude palm oil (CPO and refined palm oil (RPO, each has different added value. Design/methodology/approach: The model built will define the behavior of government in controlling palm oil industry, and their interactions with macro-environment, in order to improve the competitiveness of the industry. Therefore the first step was to map the main activities in this industry using value chain analysis. After that a conceptual model was built, where the output of the model is competitiveness of the industry based on market share. The third step was model formulation. The model is then utilized to simulate the policy mix given by government in improving the competitiveness of Palm Oil Industry. Research limitations/implications: The model was developed using only some policies which give direct impact to the competitiveness of the industry. For macro environment input, only price is considered in this model. Practical implications: The model can simulate the output of the industry for various government policies mix given to the industry. Originality/value: This research develops a model that can represent the structure and relationship between industry, government and macro environment, using value chain analysis and hierarchical multilevel system approach.

  11. Simulating the evolution of industries using a dynamic behavioural model

    OpenAIRE

    Kunc, Martin

    2004-01-01

    Investment decisions determine that not only the evolution of industries is hard to forecast with certainty but also industries may have different dynamic behaviour and evolutionary paths. In this paper we present a behavioural framework to simulate the evolution of industries. Two factors determine the dynamic behaviour of an industry: managerial decision-making and the interconnected set of resources. Managerial decision-making significantly affects the dynamic behaviour of firms. Bounded r...

  12. Production optimisation in the petrochemical industry by hierarchical multivariate modelling

    Energy Technology Data Exchange (ETDEWEB)

    Andersson, Magnus; Furusjoe, Erik; Jansson, Aasa

    2004-06-01

    This project demonstrates the advantages of applying hierarchical multivariate modelling in the petrochemical industry in order to increase knowledge of the total process. The models indicate possible ways to optimise the process regarding the use of energy and raw material, which is directly linked to the environmental impact of the process. The refinery of Nynaes Refining AB (Goeteborg, Sweden) has acted as a demonstration site in this project. The models developed for the demonstration site resulted in: Detection of an unknown process disturbance and suggestions of possible causes; Indications on how to increase the yield in combination with energy savings; The possibility to predict product quality from on-line process measurements, making the results available at a higher frequency than customary laboratory analysis; Quantification of the gradually lowered efficiency of heat transfer in the furnace and increased fuel consumption as an effect of soot build-up on the furnace coils; Increased knowledge of the relation between production rate and the efficiency of the heat exchangers. This report is one of two reports from the project. It contains a technical discussion of the result with some degree of detail. A shorter and more easily accessible report is also available, see IVL report B1586-A.

  13. IT Security Management Implementation Model in Iranian Bank Industry

    Directory of Open Access Journals (Sweden)

    Mona Vanaki

    2017-06-01

    Full Text Available According to the complexity and differences between Iranian banks and other developed countries the appropriate actions to implement effective security management of information technology have not been taken. The aim of this study was to create a powerful model by selecting the appropriate security controls to protect information assets in the bank. In this model, at first the principle set fort in ISO standard 27001, was extracted and then by further studies derived from best practices carried out in the world on the related subject from 2008 to 2016 using a qualitative descriptive method, points comply with information security management in the banking industry were added to it. With the study of Iranian banks in dealing with IT security management system and with help of action research tools, provisions which prevent the actual implementation of this standard was removed and finally a conceptual model with operating instructions and considering all the principles of information security management standard, as well as banking institutions focusing on the characteristics of Iran was proposed.

  14. Turbulence modeling needs of commercial CFD codes: Complex flows in the aerospace and automotive industries

    Science.gov (United States)

    Befrui, Bizhan A.

    1995-01-01

    This viewgraph presentation discusses the following: STAR-CD computational features; STAR-CD turbulence models; common features of industrial complex flows; industry-specific CFD development requirements; applications and experiences of industrial complex flows, including flow in rotating disc cavities, diffusion hole film cooling, internal blade cooling, and external car aerodynamics; and conclusions on turbulence modeling needs.

  15. A SUSTAINABLE SUPPLY CHAIN MODEL OF RELATIONSHIP BETWEEN WOOD SUPPLIER AND FURNITURE INDUSTRY IN INDONESIA

    OpenAIRE

    and Shalihuddin Djalal Tandjung, Muh. Hisjam Adi Djoko Guritno

    2012-01-01

    Wooden furniture industry is an important industry sector in Indonesia, because many people’s welfare relyon this industry sector and the industry has a big social and environmental impacts. Many wooden furnitureindustries in Indonesia, especially in Central Java Province face problems related to the sustainability. The relationbetween wood suppliers and furniture industry is studied in this paper. A sustainable supply chain management (s-SCM) model is proposed as an approach for solutions fo...

  16. Experimental designs for autoregressive models applied to industrial maintenance

    International Nuclear Information System (INIS)

    Amo-Salas, M.; López-Fidalgo, J.; Pedregal, D.J.

    2015-01-01

    Some time series applications require data which are either expensive or technically difficult to obtain. In such cases scheduling the points in time at which the information should be collected is of paramount importance in order to optimize the resources available. In this paper time series models are studied from a new perspective, consisting in the use of Optimal Experimental Design setup to obtain the best times to take measurements, with the principal aim of saving costs or discarding useless information. The model and the covariance function are expressed in an explicit form to apply the usual techniques of Optimal Experimental Design. Optimal designs for various approaches are computed and their efficiencies are compared. The methods working in an application of industrial maintenance of a critical piece of equipment at a petrochemical plant are shown. This simple model allows explicit calculations in order to show openly the procedure to find the correlation structure, needed for computing the optimal experimental design. In this sense the techniques used in this paper to compute optimal designs may be transferred to other situations following the ideas of the paper, but taking into account the increasing difficulty of the procedure for more complex models. - Highlights: • Optimal experimental design theory is applied to AR models to reduce costs. • The first observation has an important impact on any optimal design. • Either the lack of precision or small starting observations claim for large times. • Reasonable optimal times were obtained relaxing slightly the efficiency. • Optimal designs were computed in a predictive maintenance context

  17. CFD modeling of an industrial municipal solid waste combustor

    International Nuclear Information System (INIS)

    Hussain, A.; Ani, F.N.; Darus, A.N.; Mustafa, A.

    2006-01-01

    The average amount of municipal solid waste (MSW) generated in Malaysia is 0.5-0.8 kg/person/day and has increased to 1.7 kg/person/day in major cities. Due to rapid development and lack of space for new landfills, big cities in Malaysia are now switching to incineration. However, a major public concern over this technology also is the perception of the emission of pollutants of any form. Design requirements of high performance incinerators are sometimes summarized as the achievement of 3Ts (time, temperature, and turbulence). An adequate retention time in hot environment is crucial to destroy the products of incomplete combustion and organic pollutants. Also turbulent mixing enhances uniform distributions of temperature and oxygen availability. CFD modeling is now in the development phase of becoming a useful tool for 3D modeling of the complex geometry and flow conditions in incinerators. However, CFD flow simulations enable detailed parametric variations of design variables. CFD modeling of an industrial scale MSW incinerator was done using FLUENT Ver. 6.1. The 3D modeling was based on conversation equations for mass, momentum and energy. The differential equations were discretized by the Finite Volume Method and were solved by the SIMPLE algorithm. The k-e turbulence model was employed. The meshing was done using Gambit 2. 0. The cold flow simulations were performed initially to develop the flow and velocity field. Numerical simulations of the flow field inside the primary and secondary combustion chambers provided the temperature profiles and the concentration data at the nodal points of computational grids. Parametric study was also done to minimize the NOx emissions. (author)

  18. 4.0 industry: a new industrial challenge and a new economic model

    International Nuclear Information System (INIS)

    Blanchet, M.; Confais, E.

    2016-01-01

    The 4.0 industry is in fact a new industrial revolution. The implementation on a great scale of new technologies like additive manufacturing, big data, virtual or enhanced reality, the internet of objects, compels all the enterprises to re-invent themselves by integrating smart machines, cooperative robots, maintenance prediction, or mass production of personalized items. Of course nuclear industry will benefit from it in all aspects of its activity by ensuring a better quality, a better traceability, a better document management, an optimized maintenance, or a better work-site organisation. (A.C.)

  19. An improved hybrid multi-criteria/multidimensional model for strategic industrial location selection: Casablanca industrial zones as a case study.

    Science.gov (United States)

    Boutkhoum, Omar; Hanine, Mohamed; Agouti, Tarik; Tikniouine, Abdessadek

    2015-01-01

    In this paper, we examine the issue of strategic industrial location selection in uncertain decision making environments for implanting new industrial corporation. In fact, the industrial location issue is typically considered as a crucial factor in business research field which is related to many calculations about natural resources, distributors, suppliers, customers, and most other things. Based on the integration of environmental, economic and social decisive elements of sustainable development, this paper presents a hybrid decision making model combining fuzzy multi-criteria analysis with analytical capabilities that OLAP systems can provide for successful and optimal industrial location selection. The proposed model mainly consists in three stages. In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process. In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge. In the last stage, OLAP analysis integrated with multi-criteria analysis employs these weighted criteria as inputs to evaluate, rank and select the strategic industrial location for implanting new business corporation in the region of Casablanca, Morocco. Finally, a sensitivity analysis is performed to evaluate the impact of criteria weights and the preferences given by decision makers on the final rankings of strategic industrial locations.

  20. Model Pengembangan Produktivitas Perajin Industri Bidai Di Wilayah Perbatasan

    Directory of Open Access Journals (Sweden)

    Maria Christiana Iman Kalis

    2015-08-01

    Full Text Available Social and economic phenomena seen among the various efforts to develop culture-basedhandicraft industry. Several groups of small business industry looks continue to live but with thecondition that no maximum. The quality of labor in the industry is determining the level ofproductivity of the industry output.Industry sector is the sector that absorbs labor andemployment issues is a crucial issue especially when it comes to productivity. This is due to theproductivity can be achieved when workers have a willingness to work with a boost in selfworker.Work will occur if the labor needs of both physical and non-physical being met. In thisstudy, the element of productivity is measured is associated with the quality of workerseducational level, expertise, skills and labor in handicraft industry studied where this industry isbuilt upon the characteristics of the local culture by low adoption of technologies that are likelyto improving the entrepreneurial skills.

  1. Three Stage Maturity Model in SME’s towards Industry 4.0

    OpenAIRE

    Ganzarain, Jaione; Errasti, Nekane

    2016-01-01

    Purpose: To address the challenges regarding the concept of Industry 4.0 and the diversification methodology and based on the strategic guidance towards Industry 4.0, we propose a process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building. In this paper we suggest a stage process model to guide and train companies to identify new opportunities for diversification within Industry 4.0. Systematically carrying out the s...

  2. When technological discontinuities and disruptive business models challenge dominant industry logics: insights from the drugs industry

    OpenAIRE

    Sabatier , Valérie; Kennard , Adrienne; Mangematin , Vincent

    2012-01-01

    Working paper serie RMT (WPS 12-04) - 39 p; International audience; An industry's dominant logic is the general scheme of value creation and capture shared by its actors. In high technology fields, technological discontinuities are not enough to disrupt an industry's dominant logic. Identifying the factors that might trigger change in that logic can help companies develop strategies to enable them to capture greater value from their innovations by disrupting that logic. Based on analyzing the...

  3. A methodology for overall consequence modeling in chemical industry

    International Nuclear Information System (INIS)

    Arunraj, N.S.; Maiti, J.

    2009-01-01

    Risk assessment in chemical process industry is a very important issue for safeguarding human and the ecosystem from damages caused to them. Consequence assessment is an integral part of risk assessment. However, the commonly used consequence estimation methods involve time-consuming complex mathematical models and simple assimilation of losses without considering all the consequence factors. This lead to the deterioration of quality of estimated risk value. So, the consequence modeling has to be performed in detail considering all major losses with optimal time to improve the decisive value of risk. The losses can be broadly categorized into production loss, assets loss, human health and safety loss, and environment loss. In this paper, a conceptual framework is developed to assess the overall consequence considering all the important components of major losses. Secondly, a methodology is developed for the calculation of all the major losses, which are normalized to yield the overall consequence. Finally, as an illustration, the proposed methodology is applied to a case study plant involving benzene extraction. The case study result using the proposed consequence assessment scheme is compared with that from the existing methodologies.

  4. Integrated maintenance management model in the printing industry

    Directory of Open Access Journals (Sweden)

    Csaba Horváth

    2010-09-01

    Full Text Available Rapid technological and economic changes are setting radically new task for maintenance divisions of printingworks. In this dissertation the author provides a summary on the possible approaches for the adoption to the newrequirements. He formulates his situation analysis based on an exhaustive questionnaire survey, and points out thecurrents of changes and challenges caused by the expected developments in the maintenance field of the printingindustry.Based on the possible answers on these challenges, the Author has compiled a - yet missing - maintenance managementmodel that encompasses the maintenance specialties of the industry, as well as the professional heritage andthe latest scientific accomplishments in the discipline of maintenance.The model is based on the widely accepted quality focused maintenance approach, that is supplemented by theAuthor with four new aspects - 1 reliability-focused culture, 2 quality management system, 3 employment ofexternal service provides, 4 maintenance characteristics specific to printing machinery - determining their effectsand integrating them into one single system.In order to construct the model, the Author develops specific solutions that can be seen as own scientific achievementson the specification of maintenance characteristics of printing machinery; on the efficiency improving applicationsof quality management systems, modern knowledge management and reliability focused corporate culture;and on the implementation of a maintenance information system.

  5. Asymmetric Modeling of the Industrial Heavy Water Plant (PIAP)

    International Nuclear Information System (INIS)

    Teruel, Federico; Aprea, J; Guido Lavalle, German

    2000-01-01

    Software of asymmetric stationary simulation for the Industrial Heavy Water Plant (PIAP) was developed, based on an existing symmetric simulator (Brigitte 2.0).This software allows to turn off some of the isotopic enrichment twin units present in the plant and to simulate them asymmetrically, in other words, with different selection of parameters between twins.Other incorporations were done, such as passing flows between units and entering flows in strategic points of the plant.The iterative system in which the symmetric simulator is based was insufficient to develop the asymmetric simulator, so the system was modeled according to an implicit scheme for the units that form the simulator.This type of resolution resulted in a simulator that supports a big range of boundary conditions and internal parameters.Moreover, the time of calculus is short (∼3 minutes), making it actually useful.The asymmetric simulator is at the PIAP now, for its study and validation. It shows expected tendencies and results according to the symmetric simulator already validated

  6. The Extension Model of Sustainable Management of Industrial Enterprises

    Directory of Open Access Journals (Sweden)

    Aleksandr N. Kuzminov

    2016-09-01

    Full Text Available The paper discusses the problem of assessing the sustainability of an industrial enterprise in the context of a balanced use of limited resources. As a conceptual model approach is adopted to «3S» consider enterprise as a space that allows to combine different approaches to the sustainable development of enterprises at all stages of the life cycle. It is shown that the stability of viewing each space element is methodologically advisable to rely on system constraints, describing the boundary condition of temporary equilibrium, the achievement of which the local period synergistically causes some balance the allocation of limited resources of the enterprise. Financial stability, reflecting the nominal effective use of resources at all stages of the life cycle can be one of the proxy indicators for rapid assessment of the interaction of all subsystems, which optimality criterion proposed system coenoses restrictions. The above statement of the problem made it possible to formulate the basic requirements for the content criteria-based device diagnosis of possible states and justify the use coenosis sustainability as a synthetic approach that allows mathematically describe the self-organizing systems in the dynamics within the limits of survival. The algorithm of the mathematical and statistical evaluation of the financial resources of states, reflecting the degree of stability of the company as a consumer of scarce resources over time is offered.

  7. Financial architecture and industrial technology: A co-evolutionary model

    NARCIS (Netherlands)

    Negriu, A.

    2013-01-01

    Empirical evidence points to a relation between the financial architecture of an economy and industrial technology: market-based financial systems support the development of industries where innovation is typically radical whereas incremental innovation thrives in association with bank-based

  8. Entrepreneurial Learning a Practical Model from the Creative Industries

    Science.gov (United States)

    Rae, David

    2004-01-01

    Explores how entrepreneurial capability and identity are learned in the creative and media industries. This sector is of growing social and economic importance, and the majority of its employment and commercial activity takes place within small businesses. However, entrepreneurship in the creative industries and the related development of…

  9. Interdisciplinary Industrial Ecology Education: Recommendations for an Inclusive Pedagogical Model

    Science.gov (United States)

    Sharma, Archana

    2009-01-01

    Industrial ecology education is being developed and delivered predominantly within the domains of engineering and management. Such an approach could prove somewhat limiting to the broader goal of developing industrial ecology as an integrated knowledge base inclusive of diverse disciplines, contributing to sustainable development. This paper…

  10. 76 FR 4226 - Airworthiness Directives; Aircraft Industries a.s. Model L 23 Super Blanik Sailplanes

    Science.gov (United States)

    2011-01-25

    ... through Friday, except Federal holidays. For service information identified in this AD, contact Aircraft... docket. Relevant Service Information Aircraft Industries a.s. has issued LET Aircraft Industries... Airworthiness Directives; Aircraft Industries a.s. Model L 23 Super Blanik Sailplanes AGENCY: Federal Aviation...

  11. Industry growth, work role characteristics, and job satisfaction: a cross-level mediation model.

    Science.gov (United States)

    Ford, Michael T; Wooldridge, Jessica D

    2012-10-01

    The associations between industry revenue growth, individual work role characteristics, and job satisfaction were examined in this cross-level mediation analysis. Work roles were expected to be more autonomous, involve greater skill variety, and offer more opportunities for growth and development for workers in growing industries than for workers in declining industries. Supervisor support was also hypothesized to be stronger for workers in high-growth industries. Results from a nationally representative (U.S.) sample of service industry workers, using multilevel modeling, supported these propositions and suggest that job enrichment mediates relations between industry growth and job satisfaction. Associations between industry growth and autonomy were also stronger among workers in occupations that are less normatively autonomous, suggesting that industry growth fosters a weakening, and industry decline a strengthening, of traditional differences in autonomy across work roles. These results contribute to a multilevel perspective on organizational environments, individual work roles, and worker attitudes and well-being.

  12. Elements of a collaborative systems model within the aerospace industry

    Science.gov (United States)

    Westphalen, Bailee R.

    2000-10-01

    Scope and method of study. The purpose of this study was to determine the components of current aerospace collaborative efforts. There were 44 participants from two selected groups surveyed for this study. Nineteen were from the Oklahoma Air National Guard based in Oklahoma City representing the aviation group. Twenty-five participants were from the NASA Johnson Space Center in Houston representing the aerospace group. The surveys for the aviation group were completed in reference to planning missions necessary to their operations. The surveys for the aerospace group were completed in reference to a well-defined and focused goal from a current mission. A questionnaire was developed to survey active participants of collaborative systems in order to consider various components found within the literature. Results were analyzed and aggregated through a database along with content analysis of open-ended question comments from respondents. Findings and conclusions. This study found and determined elements of a collaborative systems model in the aerospace industry. The elements were (1) purpose or mission for the group or team; (2) commitment or dedication to the challenge; (3) group or team meetings and discussions; (4) constraints of deadlines and budgets; (5) tools and resources for project and simulations; (6) significant contributors to the collaboration; (7) decision-making formats; (8) reviews of project; (9) participants education and employment longevity; (10) cross functionality of team or group members; (11) training on the job plus teambuilding; (12) other key elements identified relevant by the respondents but not included in the model such as communication and teamwork; (13) individual and group accountability; (14) conflict, learning, and performance; along with (15) intraorganizational coordination. These elements supported and allowed multiple individuals working together to solve a common problem or to develop innovation that could not have been

  13. Towards a Maturity Modeling Approach for the Implementation of Industrial Internet

    DEFF Research Database (Denmark)

    Menon, Karan; Kärkkäinen, Hannu; Lasrado, Lester Allan

    2016-01-01

    guidelines for industrial internet maturity model for mass production manufacturing industries which use heavy equipment. The detailed research design presented here uses ADR methodology to enable the construction of the ensemble artefact. The industrial internet maturity model will be tested, developed......This Research-in-Progress paper facilitates the design and provides guidelines for the development of a maturity model to achieve a coordinated, systematic and stepwise adoption of industrial internet, thus enabling the industrial internet to be used to its full potential in manufacturing...... enterprises. Using analogous maturity models from the fields of supply chain management and product lifecycle maturity among others, this paper explains why a maturity model approach would facilitate the step-by-step implementation of industrial internet. The paper goes on to provide systematic design...

  14. Three stage maturity model in SME’s toward industry 4.0

    Energy Technology Data Exchange (ETDEWEB)

    Ganzarain, J.; Errasti, N.

    2016-07-01

    To address the challenges regarding the concept of Industry 4.0 and the diversification methodology and based on the strategic guidance towards Industry 4.0, we propose a process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building. In this paper we suggest a stage process model to guide and train companies to identify new opportunities for diversification within Industry 4.0. Systematically carrying out the stages will take a company to their individual specific vision and collaborative vision between different companies in the Industry 4.0 scenario. Design/methodology/approach: This new collaborative diversification methodology involves industry within the pilot program; from the diversification and capacity assessment analysis of the companys profile, skills and technologies that dominates, to identify the diversification opportunity map and its business modeling within the Industry 4.0 paradigm. Findings: The application of maturity models to the Industry 4.0 may help organizations to integrate this methodology into their culture. Results show a real need for guided support in developing a company-specific Industry 4.0 vision and specific project planning. Originality/value: Industry 4.0 promotes a vision where recent developments in information technology are expected to enable entirely new forms of cooperative engineering and manufacturing. The vision of industry 4.0 describes a whole new approach to business operations, and especially the production industries. To address the challenges regarding the concept of Industry 4.0 and the diversification methodology discussed above, and based on the strategic guidance towards Industry 4.0, we propose a unique process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building.

  15. Three stage maturity model in SME’s toward industry 4.0

    International Nuclear Information System (INIS)

    Ganzarain, J.; Errasti, N.

    2016-01-01

    To address the challenges regarding the concept of Industry 4.0 and the diversification methodology and based on the strategic guidance towards Industry 4.0, we propose a process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building. In this paper we suggest a stage process model to guide and train companies to identify new opportunities for diversification within Industry 4.0. Systematically carrying out the stages will take a company to their individual specific vision and collaborative vision between different companies in the Industry 4.0 scenario. Design/methodology/approach: This new collaborative diversification methodology involves industry within the pilot program; from the diversification and capacity assessment analysis of the companys profile, skills and technologies that dominates, to identify the diversification opportunity map and its business modeling within the Industry 4.0 paradigm. Findings: The application of maturity models to the Industry 4.0 may help organizations to integrate this methodology into their culture. Results show a real need for guided support in developing a company-specific Industry 4.0 vision and specific project planning. Originality/value: Industry 4.0 promotes a vision where recent developments in information technology are expected to enable entirely new forms of cooperative engineering and manufacturing. The vision of industry 4.0 describes a whole new approach to business operations, and especially the production industries. To address the challenges regarding the concept of Industry 4.0 and the diversification methodology discussed above, and based on the strategic guidance towards Industry 4.0, we propose a unique process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building.

  16. Design, Modeling, Fabrication & Characterization of Industrial Si Solar Cells

    Science.gov (United States)

    Chowdhury, Ahrar Ahmed

    Photovoltaic is a viable solution towards meeting the energy demand in an ecofriendly environment. To ensure the mass access in photovoltaic electricity, cost effective approach needs to be adapted. This thesis aims towards substrate independent fabrication process in order to achieve high efficiency cost effective industrial Silicon (Si) solar cells. Most cost-effective structures, such as, Al-BSF (Aluminum Back Surface Field), FSF (Front Surface Field) and bifacial cells are investigated in detail to exploit the efficiency potentials. First off, we introduced two-dimensional simulation model to design and modeling of most commonly used Si solar cells in today's PV arena. Best modelled results of high efficiency Al-BSF, FSF and bifacial cells are 20.50%, 22% and 21.68% respectively. Special attentions are given on the metallization design on all the structures in order to reduce the Ag cost. Furthermore, detail design and modeling were performed on FSF and bifacial cells. The FSF cells has potentials to gain 0.42%abs efficiency by combining the emitter design and front surface passivation. The prospects of bifacial cells can be revealed with the optimization of gridline widths and gridline numbers. Since, bifacial cells have metallization on both sides, a double fold cost saving is possible via innovative metallization design. Following modeling an effort is undertaken to reach the modelled result in fabrication the process. We proposed substrate independent fabrication process aiming towards establishing simultaneous processing sequences for both monofacial and bifacial cells. Subsequently, for the contact formation cost effective screen-printed technology is utilized throughout this thesis. The best Al-BSF cell attained efficiency ˜19.40%. Detail characterization was carried out to find a roadmap of achieving >20.50% efficiency Al-BSF cell. Since, n-type cell is free from Light Induced degradation (LID), recently there is a growing interest on FSF cell. Our

  17. Outsourcing versus Vertical Integration: A Dynamic Model of Industry Equilibrium

    OpenAIRE

    Roman Fossati

    2012-01-01

    Why do supply relations vary across industries and across firms within industries? Recent evidence by Hortaçsu and Syverson (2009) shows that vertically integrated producers are more productive, their size distribution dominates (in first order stochastic dominance sense) the size distribution of not vertically integrated manufacturers and there is assortative matching of upstream and downstream plants by productivity and size. Besides vertical integration (VI) and procurement of inputs from ...

  18. Digital transformation, business models and the postal industry

    OpenAIRE

    Kollara, Nandkumar Harshan

    2017-01-01

    For many decades, the postal industry offered postal services and in parallel, had a monopoly over the national postal markets. Recently, the postal industry endured a phase where their national postal markets were subjected to liberalisation by the respective nations. This was due to various reasons such as inefficiencies of the postal services, ambiguous monopoly legislations, mounting pressure from competitors, and changing nature of customer demands. The liberalisation of the European Uni...

  19. Developments in the US gas industry - no model for Europe

    Energy Technology Data Exchange (ETDEWEB)

    Maier, F H

    1988-09-01

    The deregulation measures in the USA have led to increased regulation in the gas industry. There is no reason why these measures should be adopted in Europe. After a few remarks on the beginning of state regulation in the USA gas industry, the article goes on to consider the consequences of this policy (supply bottlenecks as a result of cost-oriented regulation of gas prices, surplus supply as a result of regulation-induced price increases).

  20. BUSINESS MODEL IN THE HOSPITALITY INDUSTRY, FROM TRADITIONAL TO OPEN INNOVATION

    Directory of Open Access Journals (Sweden)

    Mihaela DIACONU

    2017-07-01

    Full Text Available The paper highlights the importance of information and communication technology in valorising the behavior of the tourism consumer by including it in new business models.The business model is considered a form of innovation to gain value for all stakeholders in the hospitality industry. On the basis of the very rich specialty literature, the paper presents the particularities of the model of hospitality industry, both the traditional model and the innovative business model.

  1. The Quadruple Helix Model Enhancing Innovative Performance Of Indonesian Creative Industry

    Directory of Open Access Journals (Sweden)

    Sri Wahyu Lelly Hana Setyanti

    2017-11-01

    Full Text Available The creative industry in Indonesia has contributed positively to the national economic growth. Creative industry grows from the creativity and innovation performance of the business actors. The challenge of creative industry is how to completely understand the creative and innovative processes in business management. Therefore it requires an approach that combines the synergy between academicians entrepreneurs government and society in a quadruple helix model. The objective of this research is to develop a creativity model through a quadruple helix model in improving innovation performance of the creative industry.

  2. Analisis Lingkungan Industri Kakkk, Ayam Geprek Surabaya Menggunakan Porter's Five Forces Model

    OpenAIRE

    Jeffrey, Charles Raymond

    2016-01-01

    Penelitian ini bertujuan untuk menganalisis lingkungan industri Kakkk, Ayam Geprek, yaitu industri restoran berdasarkan Porter's Five Forces Model. Tinggi rendahnya masing-masing kekuatan Porter's Five Forces Model dinilai berdasarkan Porter's Five Forces Scorecard. Kemudian, hasil dari Porter's Five Scorecard akan dijadikan patokan bobot dalam External Factor Evaluation (EFE) Matrix untuk mengevaluasi kemampuan Kakkk, Ayam Geprek dalam menghadapi peluang dan ancaman di dalam industri. Jenis ...

  3. Modeling and Control of Industrial ROV's for Semi-Autonomous Subsea Maintenance Services

    DEFF Research Database (Denmark)

    Mai, Christian; Pedersen, Simon; Hansen, Leif

    2017-01-01

    as improving the inspection quality. This study examines an industrial ROV, where the investigations include modeling of a real industrial prototype, which is then linearized and used for Linear Quadratic Regulator (LQR) development. The results are validated both based on non-linear model simulations...

  4. Modelling and Simulation of Coking in the Riser of an Industrial ...

    African Journals Online (AJOL)

    Modelling and Simulation of Coking in the Riser of an Industrial Fluid Catalytic Cracking (FCC) Unit. ... Log in or Register to get access to full text downloads. ... The yields of LCO, gasoline, gas and coke that were predicted by the model for industrial risers were ... Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  5. Product modeling standards for the building and construction industry : Past, present and future

    NARCIS (Netherlands)

    Tolman, F.P.

    1999-01-01

    For the past ten years most sectors of industry have been developing standards for the electronic sharing and exchange of product model data. While several related industries, such as automotive and shipbuilding manufacturing have been relatively successful in integrating electronic product models

  6. Modeling Clinic for Industrial Mathematics: A Collaborative Project Under Erasmus+ Program

    DEFF Research Database (Denmark)

    Jurlewicz, Agnieszka; Nunes, Claudia; Russo, Giovanni

    2018-01-01

    Modeling Clinic for Industrial Mathematics (MODCLIM) is a Strategic Partnership for the Development of Training Workshops and Modeling Clinic for Industrial Mathematics, funded through the European Commission under the Erasmus Plus Program, Key Action 2: Cooperation for innovation and the exchang...

  7. Modelling of energy / technology actions and measures for reducing greenhouse gas emissions in the industrial sector (the industry challenge)

    International Nuclear Information System (INIS)

    Nyboer, J.; Bailie, A.J.; Sadownik, B.

    2001-01-01

    The potential in Canadian industry for the reduction of greenhouse gas emissions is assessed in this report. The analysis is aimed at providing a comprehensive and integrated evaluation of a wide spectrum of technology and energy actions available to the industrial sector in Canada, providing estimates of greenhouse gas emissions reductions, costs and cost effectiveness for different actions by 2010, and simulating industry response to defined measures approved by representatives of the industry sector sub-table. The impacts of a set of measures was determined using in-house models. Four measures were tested against several actions including primary fossil and electricity consumption, using regionally specific energy prices, a discount rate approximating 40 per cent and growth rates derived from the Analysis and Modelling Group. Enhancement of voluntary initiatives, enhanced cogeneration, financial incentives for capital investment to improve efficiency and carbon dioxide emissions reduction, and a set of cost-of-carbon-dioxide simulations were the measures tested. Total energy consumption and carbon dioxide emissions by sector and in aggregate are provided as well as the costs. An indication of the total cost of reduction per tonne, some sense of the cost of the permit and the quantity of a subsidy required to induce decision-makers to purchase the more efficient technology are also provided. 9 refs., tabs

  8. Modelling of the Kinetics of Sulfure Compounds in Desulfurisation Processes Based on Industry Data of Plant

    Directory of Open Access Journals (Sweden)

    Krivtcova Nadezhda

    2016-01-01

    Full Text Available Modelling of sulfur compounds kinetics was performed, including kinetics of benzothiophene and dibenzothiophene homologues. Modelling is based on experimental data obtained from monitoring of industrial hydrotreating set. Obtained results include kinetic parameters of reactions.

  9. Modelling of the Kinetics of Sulfure Compounds in Desulfurisation Processes Based on Industry Data of Plant

    OpenAIRE

    Krivtsova, Nadezhda Igorevna; Tataurshikov, A.; Kotkova, Elena

    2016-01-01

    Modelling of sulfur compounds kinetics was performed, including kinetics of benzothiophene and dibenzothiophene homologues. Modelling is based on experimental data obtained from monitoring of industrial hydrotreating set. Obtained results include kinetic parameters of reactions.

  10. The digital transformation of business models in the creative industries: A holistic framework and emerging trends

    OpenAIRE

    Li, F.

    2018-01-01

    This paper examines how digital technologies facilitate business model innovations in the creative industries. Through a systematic literature review, a holistic business model framework is developed, which is then used to analyse the empirical evidence from the creative industries. The research found that digital technologies have facilitated pervasive changes in business models, and some significant trends have emerged. However, the reconfigured business models are often not ‘new’ in the un...

  11. A model for improving energy efficiency in industrial motor system using multicriteria analysis

    International Nuclear Information System (INIS)

    Herrero Sola, Antonio Vanderley; Mota, Caroline Maria de Miranda; Kovaleski, Joao Luiz

    2011-01-01

    In the last years, several policies have been proposed by governments and global institutions in order to improve the efficient use of energy in industries worldwide. However, projects in industrial motor systems require new approach, mainly in decision making area, considering the organizational barriers for energy efficiency. Despite the wide application, multicriteria methods remain unexplored in industrial motor systems until now. This paper proposes a multicriteria model using the PROMETHEE II method, with the aim of ranking alternatives for induction motors replacement. A comparative analysis of the model, applied to a Brazilian industry, has shown that multicriteria analysis presents better performance on energy saving as well as return on investments than single criterion. The paper strongly recommends the dissemination of multicriteria decision aiding as a policy to support the decision makers in industries and to improve energy efficiency in electric motor systems. - Highlights: → Lack of decision model in industrial motor system is the main motivation of the research. → A multicriteria model based on PROMETHEE method is proposed with the aim of supporting the decision makers in industries. → The model can contribute to transpose some barriers within the industries, improving the energy efficiency in industrial motor system.

  12. A model for improving energy efficiency in industrial motor system using multicriteria analysis

    Energy Technology Data Exchange (ETDEWEB)

    Herrero Sola, Antonio Vanderley, E-mail: sola@utfpr.edu.br [Federal University of Technology, Parana, Brazil (UTFPR)-Campus Ponta Grossa, Av. Monteiro Lobato, Km 4, CEP: 84016-210 (Brazil); Mota, Caroline Maria de Miranda, E-mail: carolmm@ufpe.br [Federal University of Pernambuco, Cx. Postal 7462, CEP 50630-970, Recife (Brazil); Kovaleski, Joao Luiz [Federal University of Technology, Parana, Brazil (UTFPR)-Campus Ponta Grossa, Av. Monteiro Lobato, Km 4, CEP: 84016-210 (Brazil)

    2011-06-15

    In the last years, several policies have been proposed by governments and global institutions in order to improve the efficient use of energy in industries worldwide. However, projects in industrial motor systems require new approach, mainly in decision making area, considering the organizational barriers for energy efficiency. Despite the wide application, multicriteria methods remain unexplored in industrial motor systems until now. This paper proposes a multicriteria model using the PROMETHEE II method, with the aim of ranking alternatives for induction motors replacement. A comparative analysis of the model, applied to a Brazilian industry, has shown that multicriteria analysis presents better performance on energy saving as well as return on investments than single criterion. The paper strongly recommends the dissemination of multicriteria decision aiding as a policy to support the decision makers in industries and to improve energy efficiency in electric motor systems. - Highlights: > Lack of decision model in industrial motor system is the main motivation of the research. > A multicriteria model based on PROMETHEE method is proposed with the aim of supporting the decision makers in industries. > The model can contribute to transpose some barriers within the industries, improving the energy efficiency in industrial motor system.

  13. System dynamic modelling of industrial growth and landscape ecology in China.

    Science.gov (United States)

    Xu, Jian; Kang, Jian; Shao, Long; Zhao, Tianyu

    2015-09-15

    With the rapid development of large industrial corridors in China, the landscape ecology of the country is currently being affected. Therefore, in this study, a system dynamic model with multi-dimensional nonlinear dynamic prediction function that considers industrial growth and landscape ecology is developed and verified to allow for more sustainable development. Firstly, relationships between industrial development and landscape ecology in China are examined, and five subsystems are then established: industry, population, urban economy, environment and landscape ecology. The main influencing factors are then examined for each subsystem to establish flow charts connecting those factors. Consequently, by connecting the subsystems, an overall industry growth and landscape ecology model is established. Using actual data and landscape index calculated based on GIS of the Ha-Da-Qi industrial corridor, a typical industrial corridor in China, over the period 2005-2009, the model is validated in terms of historical behaviour, logical structure and future prediction, where for 84.8% of the factors, the error rate of the model is less than 5%, the mean error rate of all factors is 2.96% and the error of the simulation test for the landscape ecology subsystem is less than 2%. Moreover, a model application has been made to consider the changes in landscape indices under four industrial development modes, and the optimal industrial growth plan has been examined for landscape ecological protection through the simulation prediction results over 2015-2020. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. INTERACTION BETWEEN MODELS OF THE LIFE CYCLE OF INDUSTRIAL ENTERPRISE AND CYCLE OF ITS REORGANIZATION

    Directory of Open Access Journals (Sweden)

    Chulkov Vitaliy Olegovich

    2012-10-01

    Full Text Available The objective of this scientific research is to develop a theoretical model of organizational and technology-related processes of reorganization of industrial enterprises, as well as their interaction. Multipoint logic notions of growth and interaction phases are used as research methods. The author describes the basic stages of reorganization, the life cycle of industrial enterprises and the cycle of their transformation. The processes are presented as an infographical image that represents a concentric model of interaction. This concentric model represents interaction between two or more phases. The process is entitled infografical modeling on the polyfunctional level. The concentric model moves both clockwise and anti-clockwise. Basic organizational and technological processes of reorganization of industrial enterprises that include decision making in terms of expediency of reorganization, design, construction, and performance of industrial enterprises at full capacity, and further operation of the industrial enterprise are described in the paper. Attainment of this objective, namely, reorganization of an industrial enterprise, involves a huge amount of resources, including labour resources that need interaction with all parties of reorganization; therefore, the concentric model of interaction describing the basic cycle of reorganization, the life cycle of an industrial enterprise and the cycle of its conversion is a trustworthy representation of this process. The proposed concentric model of interaction should be used in the design of organizational and technology-related processes for integrated consideration of reorganization of enterprises required to understand and improve the efficiency of reorganizations and to control the reorganization of industrial facilities.

  15. Simulation modeling of quality assurance processes in an industrial plant

    Directory of Open Access Journals (Sweden)

    Gumerov Anwar Vazykhovich

    2013-11-01

    Full Text Available Quality management and the need for continuous improvement requires the development of methods of analysis and diagnostic parameters. The use of simulation techniques and statistical quality control methods will provide the basis for process control of industrial enterprises.

  16. Distributed object models for collaboration in the construction industry

    NARCIS (Netherlands)

    Leeuwen, van J.P.; Zee, van der A.

    2005-01-01

    Abstract Information about products for the construction industry is increasingly often provided to designers in digital ways that enable them to apply the information directly in the design process. Digital product catalogues are provided using various media and formats and several initiatives are

  17. A Distributed Object Model for CSCW in the Construction Industry

    NARCIS (Netherlands)

    Leeuwen, van J.P.; Zee, van der A.; Maas, G.; Gassel, F.

    2003-01-01

    Information about products for the construction industry is increasingly often provided to designers in digital ways that enable them to apply the information directly in the design process. Digital product catalogues are provided using various media and formats and several initiatives are taken by

  18. Industry Differentiation in the Innovation-Exporting Business Models of SMEs

    DEFF Research Database (Denmark)

    Child, John; Hsieh, Linda; Elbanna, Said

    . This paper addresses these two research gaps by investigating whether there is a systematic variation in the specifics of the innovation-exporting business models adopted by SMEs according to their industry membership. The sample of 180 firms includes an equal number of SMEs actively engaged in exporting...... and located in the clothing, software and biotechnology industries across six economies. The results indicate that SMEs in each industry follow distinctive business models with respect to innovation and exporting. It is concluded that industry is an institutionalized socio-technical system of considerable...

  19. Study of non-Hodgkin's lymphoma mortality associated with industrial pollution in Spain, using Poisson models

    Directory of Open Access Journals (Sweden)

    Lope Virginia

    2009-01-01

    Full Text Available Abstract Background Non-Hodgkin's lymphomas (NHLs have been linked to proximity to industrial areas, but evidence regarding the health risk posed by residence near pollutant industries is very limited. The European Pollutant Emission Register (EPER is a public register that furnishes valuable information on industries that release pollutants to air and water, along with their geographical location. This study sought to explore the relationship between NHL mortality in small areas in Spain and environmental exposure to pollutant emissions from EPER-registered industries, using three Poisson-regression-based mathematical models. Methods Observed cases were drawn from mortality registries in Spain for the period 1994–2003. Industries were grouped into the following sectors: energy; metal; mineral; organic chemicals; waste; paper; food; and use of solvents. Populations having an industry within a radius of 1, 1.5, or 2 kilometres from the municipal centroid were deemed to be exposed. Municipalities outside those radii were considered as reference populations. The relative risks (RRs associated with proximity to pollutant industries were estimated using the following methods: Poisson Regression; mixed Poisson model with random provincial effect; and spatial autoregressive modelling (BYM model. Results Only proximity of paper industries to population centres (>2 km could be associated with a greater risk of NHL mortality (mixed model: RR:1.24, 95% CI:1.09–1.42; BYM model: RR:1.21, 95% CI:1.01–1.45; Poisson model: RR:1.16, 95% CI:1.06–1.27. Spatial models yielded higher estimates. Conclusion The reported association between exposure to air pollution from the paper, pulp and board industry and NHL mortality is independent of the model used. Inclusion of spatial random effects terms in the risk estimate improves the study of associations between environmental exposures and mortality. The EPER could be of great utility when studying the effects of

  20. Modelling the oil producers: Capturing oil industry knowledge in a behavioural simulation model

    International Nuclear Information System (INIS)

    Morecroft, J.D.W.; Van der Heijden, K.A.J.M.

    1992-01-01

    A group of senior managers and planners from a major oil company met to discuss the changing structure of the oil industry with the purpose of improving group understanding of oil market behaviour for use in global scenarios. This broad ranging discussion led to a system dynamics simulation model of the oil producers. The model produced new insights into the power and stability of OPEC (the major oil producers' organization), the dynamic of oil prices, and the investment opportunities of non-OPEC producers. The paper traces the model development process, starting from group discussions and leading to working simulation models. Particular attention is paid to the methods used to capture team knowledge and to ensure that the computer models reflected opinions and ideas from the meetings. The paper describes how flip-chart diagrams were used to collect ideas about the logic of the principal producers' production decisions. A sub-group of the project team developed and tested an algebraic model. The paper shows partial model simulations used to build confidence and a sense of ownership in the algebraic formulations. Further simulations show how the full model can stimulate thinking about producers' behaviour and oil prices. The paper concludes with comments on the model building process. 11 figs., 37 refs

  1. Modeling track access charge to enhance railway industry performance

    Science.gov (United States)

    Berawi, Mohammed Ali; Miraj, Perdana; Berawi, Abdur Rohim Boy; Susantono, Bambang; Leviakangas, Pekka; Radiansyah, Hendra

    2017-11-01

    Indonesia attempts to improve nation's competitiveness by increasing the quality and the availability of railway network. However, the infrastructure improperly managed by the operator in terms of the technical issue. One of the reasons for this problem is an unbalanced value of infrastructure charge. In 2000's track access charge and infrastructure maintenance and operation for Indonesia railways are equal and despite current formula of the infrastructure charge, issues of transparency and accountability still in question. This research aims to produce an alternative scheme of track access charge by considering marginal cost plus markup (MC+) approach. The research combines qualitative and quantitative method through an in-depth interview and financial analysis. The result will generate alternative formula of infrastructure charge in Indonesia's railway industry. The simulation also conducted to estimate track access charge for the operator and to forecast government support in terms of subsidy. The result is expected to enhance railway industry performance and competitiveness.

  2. Bisphenol A Synthesis - Modeling of Industrial Reactor and Catalyst Deactivation

    Czech Academy of Sciences Publication Activity Database

    Prokop, Zdeněk; Hanková, Libuše; Jeřábek, Karel

    2004-01-01

    Roč. 60, - (2004), s. 77-83 Sp/Iss/ SI ISSN 1381-5148. [Asia-Pacific Congress on Catalysis /3./. Dalian, 12.10.2003-15.10.2003] R&D Projects: GA ČR GA104/02/1104 Institutional research plan: CEZ:AV0Z4072921 Keywords : bisphenol A * catalyst deactivation * ion exchanger catalyst Subject RIV: CI - Industrial Chemistry, Chemical Engineering Impact factor: 1.582, year: 2004

  3. The Study of Strategic Industrial Planning for Using Model SWOT

    OpenAIRE

    Mohammad Ali Abdolvand; Amin Asadollahi

    2012-01-01

    Organizations to maintain and achieve optimal growth and development and increase its competitiveness need to be a comprehensive and coherent plan for the mission and goals of the strategic plan. The purpose of this study is providing strategic planning and optimal strategies for using SWOT. The company is investigating the territory south of the oil industry. The questionnaire has been used as a research tool containing the questions is 138. Research data from interviews with managers, exper...

  4. Applications of building information model (BIM) in Malaysian construction industry

    Science.gov (United States)

    Tahir, M. M.; Haron, N. A.; Alias, A. H.; Al-Jumaa, A. T.; Muhammad, I. B.; Harun, A. N.

    2017-12-01

    Since the introduction of BIM in Malaysia in 2009, the technology adoption rate is slow when compared to other countries of the world. Most of the construction companies in Malaysia have an insight on the BIM concept but are yet to implement it in the management of their construction projects. By the year 2020, the Malaysian government will make BIM mandatory, this makes it important to carry out research on the possible applications of the technology. A qualitative method of enquiry was used for this study in Klang Valley using semistructured interview. The responses received were analysed using Principal component analysis (PCA). The result of the analysis showed that “quantity take-off and estimation”, “clash detection and coordination”, “integration and collaboration of stakeholders”, and “design and visualisation” as the main applications of BIM in Malaysia presently. The implication of this findings is that the Malaysian construction industry productivity is likely to increase to meet the demand of the population through the implementations of BIM. More also, BIM technology is regarded as the future of construction industry, which makes it very important for the industry.

  5. Building Customer Churn Prediction Models in Fitness Industry with Machine Learning Methods

    OpenAIRE

    Shan, Min

    2017-01-01

    With the rapid growth of digital systems, churn management has become a major focus within customer relationship management in many industries. Ample research has been conducted for churn prediction in different industries with various machine learning methods. This thesis aims to combine feature selection and supervised machine learning methods for defining models of churn prediction and apply them on fitness industry. Forward selection is chosen as feature selection methods. Support Vector ...

  6. Competitive Advantages of Indonesian Plywood Industry: A Perspective from Porter???s Five Forces Model

    OpenAIRE

    Makkarennu

    2015-01-01

    The Understanding industry structure is of great concern to industry strategic since depending against the competitive forces and shaping them in a company???s favor area essential to strategy. Competitive advantages provide the framework for assessing strategy and understanding the source of competitive advantage. This paper applies Porter Five Forces Model to identify the positioning of competitive advantages of plywood industry in South Sulawesi, Indonesia. Qualitative research was carried...

  7. Control of Industrial Safety Based on Dynamic Characteristics of a Safety Budget-Industrial Accident Rate Model in Republic of Korea.

    Science.gov (United States)

    Choi, Gi Heung; Loh, Byoung Gook

    2017-06-01

    Despite the recent efforts to prevent industrial accidents in the Republic of Korea, the industrial accident rate has not improved much. Industrial safety policies and safety management are also known to be inefficient. This study focused on dynamic characteristics of industrial safety systems and their effects on safety performance in the Republic of Korea. Such dynamic characteristics are particularly important for restructuring of the industrial safety system. The effects of damping and elastic characteristics of the industrial safety system model on safety performance were examined and feedback control performance was explained in view of cost and benefit. The implications on safety policies of restructuring the industrial safety system were also explored. A strong correlation between the safety budget and the industrial accident rate enabled modeling of an industrial safety system with these variables as the input and the output, respectively. A more effective and efficient industrial safety system could be realized by having weaker elastic characteristics and stronger damping characteristics in it. A substantial decrease in total social cost is expected as the industrial safety system is restructured accordingly. A simple feedback control with proportional-integral action is effective in prevention of industrial accidents. Securing a lower level of elastic industrial accident-driving energy appears to have dominant effects on the control performance compared with the damping effort to dissipate such energy. More attention needs to be directed towards physical and social feedbacks that have prolonged cumulative effects. Suggestions for further improvement of the safety system including physical and social feedbacks are also made.

  8. How the health belief model helps the tobacco industry: individuals, choice, and "information".

    Science.gov (United States)

    Balbach, Edith D; Smith, Elizabeth A; Malone, Ruth E

    2006-12-01

    To analyse trial and deposition testimony of tobacco industry executives to determine how they use the concepts of "information" and "choice" and consider how these concepts are related to theoretical models of health behaviour change. We coded and analysed transcripts of trial and deposition testimony of 14 high-level executives representing six companies plus the Tobacco Institute. We conducted an interpretive analysis of industry executives' characterisation of the industry's role as information provider and the agency of tobacco consumers in making "choices". Tobacco industry executives deployed the concept of "information" as a mechanism that shifted to consumers full moral responsibility for the harms caused by tobacco products. The industry's role was characterised as that of impartial supplier of value-free "information", without regard to its quality, accuracy and truthfulness. Tobacco industry legal defences rely on assumptions congruent with and supported by individual rational choice theories, particularly those that emphasise individual, autonomous decision-makers. Tobacco control advocates and health educators must challenge the industry's preferred framing, pointing out that "information" is not value-free. Multi-level, multi-sectoral interventions are critical to tobacco use prevention. Over-reliance on individual and interpersonal rational choice models may have the effect of validating the industry's model of smoking and cessation behaviour, absolving it of responsibility and rendering invisible the "choices" the industry has made and continues to make in promoting the most deadly consumer product ever made.

  9. Contribution of the geology and geochemistry modelling to the petroleum industry

    International Nuclear Information System (INIS)

    Tissot, B.

    1993-01-01

    Evolution of modelling and model interpretation in the domain of geology, geophysics and geochemistry applied to petroleum industry, is first summarized. Hydrocarbon geological formation modelling is then presented in details with examples of kinetic models such as the discrete distribution and the Gaussian distribution based models, and the kerogene to petroleum process modelling. Petroleum basin modelling is also discussed with methods such as back-stripping, conductive thermal transfers, etc. 14 figs., 26 refs

  10. Mathematical model for production of an industry focusing on worker status

    Science.gov (United States)

    Visalakshi, V.; kiran kumari, Sheshma

    2018-04-01

    Productivity improvement is posing a great challenge for industry everyday because of the difficulties in keeping track and priorising the variables that have significant impact on the productivity. The variation in production depends on the linguistic variables such as worker commitment, worker motivation and worker skills. Since the variables are linguistic we try to propose a model which gives an appropriate production of an industry. Fuzzy models aids the relationship between the factors and status. The model will support the industry to focus on the mentality of worker to increase the production.

  11. Model Predictive Control for an Industrial SAG Mill

    DEFF Research Database (Denmark)

    Ohan, Valeriu; Steinke, Florian; Metzger, Michael

    2012-01-01

    identication. When applied to MIMO systems we call this controller a MIMO-ARX based MPC. We use an industrial Semi-Autogenous Grinding (SAG) mill to illustrate the performance of this controller. SAG mills are the primary units in a grinding chain and also the most power consuming units. Therefore, improved...... control of SAG mills has the potential to signicantly improve eciency and reduce the specic energy consumption for mineral processes. Grinding circuits involving SAG mills are multivariate processes. Commissioning of a control system based on a classical single-loop controllers with logic is time...

  12. 76 FR 72087 - Special Conditions: Diamond Aircraft Industries, Model DA-40NG; Electronic Engine Control (EEC...

    Science.gov (United States)

    2011-11-22

    ...; Special Conditions No. 23-253-SC] Special Conditions: Diamond Aircraft Industries, Model DA-40NG..., Model DA-40NG airplane. This airplane will have a novel or unusual design feature(s) associated with an... include the new model DA- 40NG with the Austro Engine GmbH model E4 Aircraft Diesel Engine (ADE). The...

  13. A Conceptual Model for Analysing Management Development in the UK Hospitality Industry

    Science.gov (United States)

    Watson, Sandra

    2007-01-01

    This paper presents a conceptual, contingent model of management development. It explains the nature of the UK hospitality industry and its potential influence on MD practices, prior to exploring dimensions and relationships in the model. The embryonic model is presented as a model that can enhance our understanding of the complexities of the…

  14. INDUSTRY PARTNERSHIPS LEARNING MODELS FOR SURVEYING AND MAPPING OF VOCATIONAL HIGH SCHOOLS

    Directory of Open Access Journals (Sweden)

    Sunar Rochmadi

    2016-09-01

    Full Text Available This study aims to identify a learning involving the world of work, to formulate the learning model, and to evaluate the learning model. This study used a qualitative approach for design and development research, consisting of the development and validation steps. The study concludes as follows. (1 the learning through partnerships having been conducted in all vocational high schools were industrial practice and vocational practice examination. (2 the constraints of learning through partnerships were mainly the far distance and the industry schedules that did not always match with the school’s. (3 the model development could be done by improving the learning quality by industrial practices in the private companies and with adding the learning model by industry visits, guest teaching, and up-to-date technology training. (4 the implementation of the developed model showed the feasibility and the effectiveness to prepare the students with the competencies required by the world of work. (5 the learning models through partnerships that could be practiced were guest teaching, orientation for industrial practice, industrial practices, students’ industry visits, up-to-date technology training, and vocational practice examination.

  15. The need for novel model order reduction techniques in the electronics industry (Chapter 1)

    NARCIS (Netherlands)

    Schilders, W.H.A.; Benner, P.; Hinze, M.; Maten, ter E.J.W.

    2011-01-01

    In this paper, we discuss the present and future needs of the electronics industry with regard to model order reduction. The industry has always been one of the main motivating fields for the development of MOR techniques, and continues to play this role. We discuss the search for provably passive

  16. University-Industry Research Collaboration: A Model to Assess University Capability

    Science.gov (United States)

    Abramo, Giovanni; D'Angelo, Ciriaco Andrea; Di Costa, Flavia

    2011-01-01

    Scholars and policy makers recognize that collaboration between industry and the public research institutions is a necessity for innovation and national economic development. This work presents an econometric model which expresses the university capability for collaboration with industry as a function of size, location and research quality. The…

  17. Modelling cooperation of industrial robots as multi-agent systems

    Science.gov (United States)

    Hryniewicz, P.; Banas, W.; Foit, K.; Gwiazda, A.; Sekala, A.

    2017-08-01

    Nowadays, more and more often in a cell is more than one robot, there is also a dual arm robots, because of this cooperation of two robots in the same space becomes more and more important. Programming robotic cell consisting of two or more robots are currently performed separately for each element of the robot and the cell. It is performed only synchronization programs, but no robot movements. In such situations often placed industrial robots so they do not have common space so the robots are operated separately. When industrial robots are a common space this space can occupy only one robot the other one must be outside the common space. It is very difficult to find applications where two robots are in the same workspace. It was tested but one robot did not do of movement when moving the second and waited for permission to move from the second when it sent a permit - stop the move. Such programs are very difficult and require a lot of experience from the programmer and must be tested separately at the beginning and then very slowly under control. Ideally, the operator takes care of exactly one robot during the test and it is very important to take special care.

  18. Mathematical modeling of swirled flows in industrial applications

    Science.gov (United States)

    Dekterev, A. A.; Gavrilov, A. A.; Sentyabov, A. V.

    2018-03-01

    Swirled flows are widely used in technological devices. Swirling flows are characterized by a wide range of flow regimes. 3D mathematical modeling of flows is widely used in research and design. For correct mathematical modeling of such a flow, it is necessary to use turbulence models, which take into account important features of the flow. Based on the experience of computational modeling of a wide class of problems with swirling flows, recommendations on the use of turbulence models for calculating the applied problems are proposed.

  19. Location-Allocation model for food industrial using fuzzy criteria: A case study of dairy industry

    Directory of Open Access Journals (Sweden)

    Zahra Esfandiyari

    2011-07-01

    Full Text Available A good facility layout plays an important role on increasing the profitability of a production unit. A good location needs to meet different criteria such as the distance between the plants and the places to reach raw materials, customers, etc. In this paper, we proposed a multi criteria decision making problem to locate a suitable dairy plant. We assume that all factors influencing the plant involves uncertainty and proposed fuzzy numbers to handle the uncertainty associated with all input parameters. We apply the method for a real-world case study of dairy production unit and analyze the results of our proposed model.

  20. Certain industry, big giving: modelling the correlation between SRI and industry risk

    Directory of Open Access Journals (Sweden)

    Răzvan-Cătălin Dobrea

    2016-09-01

    Full Text Available Today, tomorrow’s success has to be planned and evaluated according to the principles of two major theories: complexity theory and chaos theory. Concepts of globalization and sustainable development require new rules related to contemporary (investment performance. The goal of this paper is to highlight a sustainability-based approach on investment decision optimization. The empirical study conducted in this area by estimating the parameters of a PANEL data regression model, provides that the relation between socially responsible investments (SRI and company’s performance is based indirectly on risk opportunities.

  1. An Evaluation Model for Sustainable Development of China’s Textile Industry: An Empirical Study

    Science.gov (United States)

    Zhao, Hong; Lu, Xiaodong; Yu, Ting; Yin, Yanbin

    2018-04-01

    With economy’s continuous rapid growth, textile industry is required to search for new rules and adjust strategies in order to optimize industrial structure and rationalize social spending. The sustainable development of China’s textile industry is a comprehensive research subject. This study analyzed the status of China’s textile industry and constructed the evaluation model based on the economical, ecologic, and social benefits. Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) were used for an empirical study of textile industry. The result of evaluation model suggested that the status of the textile industry has become the major problems in the sustainable development of China’s textile industry. It’s nearly impossible to integrate into the global economy if no measures are taken. The enterprises concerned with the textile industry status should be reformed in terms of product design, raw material selection, technological reform, technological progress, and management, in accordance with the ideas and requirements of sustainable development. The results of this study are benefit for 1) discover the main elements restricting the industry’s sustainable development; 2) seek for corresponding solutions for policy formulation and implementation of textile industry; 3) provide references for enterprises’ development transformation in strategic deployment, fund allocation, and personnel assignment.

  2. A hierarchical causal modeling for large industrial plants supervision

    International Nuclear Information System (INIS)

    Dziopa, P.; Leyval, L.

    1994-01-01

    A supervision system has to analyse the process current state and the way it will evolve after a modification of the inputs or disturbance. It is proposed to base this analysis on a hierarchy of models, witch differ by the number of involved variables and the abstraction level used to describe their temporal evolution. In a first step, special attention is paid to causal models building, from the most abstract one. Once the hierarchy of models has been build, the most detailed model parameters are estimated. Several models of different abstraction levels can be used for on line prediction. These methods have been applied to a nuclear reprocessing plant. The abstraction level could be chosen on line by the operator. Moreover when an abnormal process behaviour is detected a more detailed model is automatically triggered in order to focus the operator attention on the suspected subsystem. (authors). 11 refs., 11 figs

  3. Transforming business models through big data in the textile industry

    DEFF Research Database (Denmark)

    Aagaard, Annabeth

    , such as textile, and have led to disruption of established business models (Westerman et al., 2014; Weill and Woerner, 2015). Yet, little is known of the managerial process and facilitation of the digital transformation of business models through big data (McAfee and Brynjolfsson, 2012; Markus and Loebbecke, 2013).......The extensive stream of work on business models (BM) and business model innovation (BMI) has generated many important insights (Amit & Zott, 2001; Osterwalder, 2004; Markides, 2008, 2013; Chesbrough 2010; Teece, 2010; Zott et al, 2011). Yet, our understanding of business models remains fragmented...... as stressed by Zott et al. (2011), Weill et al. (2011) and David J. Teece (2010: 174), who states that: “the concept of a business model lacks theoretical grounding in economics or in business studies”. With the acceleration of digitization and use of big data analytics quality data are accessible...

  4. Computerized operating cost model for industrial steam generation

    Energy Technology Data Exchange (ETDEWEB)

    Powers, T.D.

    1983-02-01

    Pending EPA regulations, establishing revised emission levels for industrial boilers are perceived to have an effect on the relative costs of steam production technologies. To aid in the comparison of competitive boiler technologies, the Steam Cost Code was developed which provides levelized steam costs reflecting the effects of a number of key steam cost parameters. The Steam Cost Code is a user interactive FORTRAN program designed to operate on a VAX computer system. The program requires the user to input a number of variables describing the design characteristics, capital costs, and operating conditions for a specific boiler system. Part of the input to the Steam Cost Code is the capital cost of the steam production system. The capital cost is obtained from a program called INDCEPT, developed by Oak Ridge National Laboratory under Department of Energy, Morgantown Energy Technology Center sponsorship.

  5. Optimum investment strategy in the power industry mathematical models

    CERN Document Server

    Bartnik, Ryszard; Hnydiuk-Stefan, Anna

    2016-01-01

    This book presents an innovative methodology for identifying optimum investment strategies in the power industry. To do so, it examines results including, among others, the impact of oxy-fuel technology on CO2 emissions prices, and the specific cost of electricity production. The technical and economic analysis presented here extend the available knowledge in the field of investment optimization in energy engineering, while also enabling investors to make decisions involving its application. Individual chapters explore the potential impacts of different factors like environmental charges on costs connected with investments in the power sector, as well as discussing the available technologies for heat and power generation. The book offers a valuable resource for researchers, market analysts, decision makers, power engineers and students alike.

  6. The contribution of high-performance computing and modelling for industrial development

    CSIR Research Space (South Africa)

    Sithole, Happy

    2017-10-01

    Full Text Available Performance Computing and Modelling for Industrial Development Dr Happy Sithole and Dr Onno Ubbink 2 Strategic context • High-performance computing (HPC) combined with machine Learning and artificial intelligence present opportunities to non...

  7. BUSINESS MODEL IN ELECTRICITY INDUSTRY USING BUSINESS MODEL CANVAS APPROACH; THE CASE OF PT. XYZ

    Directory of Open Access Journals (Sweden)

    Achmad Arief Wicaksono

    2017-01-01

    Full Text Available The magnitude of opportunities and project values of electricity system in Indonesia encourages PT. XYZ to develop its business in electrical sector which requires business development strategies. This study aims to identify company's business model using Business Model Canvas approach, formulate business development strategy alternatives, and determine the prioritized business development strategy which is appropriate to the manufacturing business model for PT. XYZ. This study utilized a descriptive approach and the nine elements of the Business Model Canvas. Alternative formulation and priority determination of the strategies were obtained by using Strengths, Weaknesses, Opportunities, Threats (SWOT analysis and pairwise comparison. The results of this study are the improvement of Business Model Canvas on the elements of key resources, key activities, key partners and customer segment. In terms of SWOT analysis on the nine elements of the Business Model Canvas for the first business development, the results show an expansion on the power plant construction project as the main contractor, an increase in sales in its core business in supporting equipment industry of oil and gas,  a development in the second business i.e. an investment in the electricity sector as an independent renewable emery-based power producer. On its first business development, PT. XYZ selected three Business Model Canvas elements which become the priorities of the company i.e. key resources weighing 0.252, key activities weighing 0.240, and key partners weighing 0.231. On its second business development, the company selected three elements to become their the priorities i.e. key partners weighing 0.225, customer segments weighing 0.217, and key resources weighing 0.215.Keywords: business model canvas, SWOT, pairwise comparison, business model

  8. Accident consequence analysis models applied to licensing process of nuclear installations, radioactive and conventional industries

    International Nuclear Information System (INIS)

    Senne Junior, Murillo; Vasconcelos, Vanderley de; Jordao, Elizabete

    2002-01-01

    The industrial accidents happened in the last years, particularly in the eighty's decade, had contributed in a significant way to call the attention to government authorities, industry and society as a whole, demanding mechanisms for preventing episodes that could affect people's safety and environment quality. Techniques and methods already thoroughly used in the nuclear, aeronautic and war industries were then adapted for performing analysis and evaluation of the risks associated to other industrial activities, especially in the petroleum, chemistry and petrochemical areas. Some models for analyzing the consequences of accidents involving fire and explosion, used in the licensing processes of nuclear and radioactive facilities, are presented in this paper. These models have also application in the licensing of conventional industrial facilities. (author)

  9. How to Introduce Mathematic Modeling in Industrial Design Education

    NARCIS (Netherlands)

    Langereis, G.R.; Hu, J.; Feijs, L.M.G.; Stillmann, G.A.; Kaiser, G.; Blum, W.B.; Brown, J.P.

    2013-01-01

    With competency based learning in a project driven environment, we are facing a different perspective of how students perceive mathematical modelling. In this chapter, a model is proposed where conventional education is seen as a process from mathematics to design, while competency driven approaches

  10. Quantitative model of New Zealand's energy supply industry

    Energy Technology Data Exchange (ETDEWEB)

    Smith, B. R. [Victoria Univ., Wellington, (New Zealand); Lucas, P. D. [Ministry of Energy Resources (New Zealand)

    1977-10-15

    A mathematical model is presented to assist in an analysis of energy policy options available. The model is based on an engineering orientated description of New Zealand's energy supply and distribution system. The system is cast as a linear program, in which energy demand is satisfied at least cost. The capacities and operating modes of process plant (such as power stations, oil refinery units, and LP-gas extraction plants) are determined by the model, as well as the optimal mix of fuels supplied to the final consumers. Policy analysis with the model enables a wide ranging assessment of the alternatives and uncertainties within a consistent quantitative framework. It is intended that the model be used as a tool to investigate the relative effects of various policy options, rather than to present a definitive plan for satisfying the nation's energy requirements.

  11. Change in the game : business model innovation in the video game industry across time

    OpenAIRE

    Locke, Austin; Uhrínová, Bianka

    2017-01-01

    Technological innovation has changed business models across multiple industries – retail (Amazon), taxi (Uber), hotel (Airbnb). Through exploratory research, using secondary data, this thesis describes changes that have occurred in video gaming industry from its creation to the current, modern era that are connected to technological innovation. Based on the current research of business models, the authors created a “Value Creation-Revenue Stream Framework” that they use to anal...

  12. Trends and new business models in the portuguese fashion industry: a strategic innovation perspective

    OpenAIRE

    Queirós, David; Afonso, Paulo; Vieira, Filipa Dionísio

    2013-01-01

    This research project focuses on the discussion of trends and new business models for the textile and clothing industry in general and for the fashion industry, in particular, using tools and an approach supported on strategic innovation. A documentary analysis was performed and they were conducted a series of semi-structured interviews. It was noted the importance of the strategic analysis and particularly strategic innovation for the design of new successful business models. Main findings a...

  13. Knowledge Production in Small and Medium Sized Enterprises

    Science.gov (United States)

    Van der Meer, Han

    2010-01-01

    This article presents the author's response to Hisham B. Ghassib's (2010) article entitled "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?" When the author tries to characterise Ghassib's (2010) world, three words come into mind: University, Scientific Knowledge, and Marx. The author's world on the other…

  14. National economic models of industrial water use and waste treatment. [technology transfer

    Science.gov (United States)

    Thompson, R. G.; Calloway, J. A.

    1974-01-01

    The effects of air emission and solid waste restrictions on production costs and resource use by industry is investigated. A linear program is developed to analyze how resource use, production cost, and waste discharges in different types of production may be affected by resource limiting policies of the government. The method is applied to modeling ethylene and ammonia plants at the design stage. Results show that the effects of increasingly restrictive wastewater effluent standards on increased energy use were small in both plants. Plant models were developed for other industries and the program estimated effects of wastewater discharge policies on production costs of industry.

  15. 76 FR 37684 - Airworthiness Directives; Diamond Aircraft Industries GmbH Model (Diamond) DA 40 Airplanes...

    Science.gov (United States)

    2011-06-28

    ... Industries GmbH Model (Diamond) DA 40 Airplanes Equipped With Certain Cabin Air Conditioning Systems AGENCY... inspections of the Diamond Model DA 40 airplanes equipped with a VCS installed per Premier Aircraft Service... GmbH Model (Diamond) DA 40 Airplanes Equipped With Certain Cabin Air Conditioning Systems: Docket No...

  16. A Hybrid Model for Forecasting Sales in Turkish Paint Industry

    OpenAIRE

    Alp Ustundag

    2009-01-01

    Sales forecasting is important for facilitating effective and efficient allocation of scarce resources. However, how to best model and forecast sales has been a long-standing issue. There is no best forecasting method that is applicable in all circumstances. Therefore, confidence in the accuracy of sales forecasts is achieved by corroborating the results using two or more methods. This paper proposes a hybrid forecasting model that uses an artificial intelligence method (AI) w...

  17. 75 FR 52292 - Airworthiness Directives; Diamond Aircraft Industries GmbH Models DA 40 and DA 40F Airplanes

    Science.gov (United States)

    2010-08-25

    ... Industries GmbH Models DA 40 and DA 40F Airplanes AGENCY: Federal Aviation Administration (FAA), Department... new airworthiness directive (AD) for all Diamond Aircraft Industries GmbH Models DA 40 and DA 40F... received information from Diamond Aircraft Industries GmbH that the Models DA 40 and DA 40F airplanes have...

  18. Means-End based Functional Modeling for Intelligent Control: Modeling and Experiments with an Industrial Heat Pump System

    DEFF Research Database (Denmark)

    Saleem, Arshad

    2007-01-01

    The purpose of this paper is to present a Multilevel Flow Model (MFM) of an industrial heat pump system and its use for diagnostic reasoning. MFM is functional modeling language supporting an explicit means-ends intelligent control strategy for large industrial process plants. The model is used...... in several diagnostic experiments analyzing different fault scenarios. The model and results of the experiments are explained and it is shown how MFM based intelligent modeling and automated reasoning can improve the fault diagnosis process significantly....

  19. A SUSTAINABLE SUPPLY CHAIN MODEL OF RELATIONSHIP BETWEEN WOOD SUPPLIER AND FURNITURE INDUSTRY IN INDONESIA

    Directory of Open Access Journals (Sweden)

    Muh. Hisjam Adi Djoko Guritno and Shalihuddin Djalal Tandjung

    2012-06-01

    Full Text Available Wooden furniture industry is an important industry sector in Indonesia, because many people’s welfare relyon this industry sector and the industry has a big social and environmental impacts. Many wooden furnitureindustries in Indonesia, especially in Central Java Province face problems related to the sustainability. The relationbetween wood suppliers and furniture industry is studied in this paper. A sustainable supply chain management (s-SCM model is proposed as an approach for solutions for the problems. The approach is chosen due to the characteristics of the problems that related to economic, social, and environmental problems. This aim of this paper is to determine how much supply teak wood must be provided by PP to satisfy furniture industry demand, how much production capacity that must be increased and how large forest area that must be planted in order to achieve environmental and social goals without sacrificing economical goals much. Goal programming (GP is chosen for solving the problems, because the goals are to maximize the total benefit,minimize the total loss and anticipate the conflicts between goals. Numerical trial based on observation in teak wooden furniture industry in Central Java was used to illustrate our findings. Using pareto efficient principle, the model can satisfy all goals that need to be achieved. Numerical results can be used by decision makers in teak wood industry to analyze the trade-off among several set of alternative solutions.

  20. A calibrated energy end-use model for the U.S. chemical industry

    International Nuclear Information System (INIS)

    Ozalp, N.; Hyman, B.

    2005-01-01

    The chemical industry is the second largest energy user after the petroleum industry in the United States. This paper provided a model for onsite steam and power generation in the chemical industry, as well as an end-use of the industrial gas manufacturing sector. The onsite steam and power generation model included the actual conversion efficiencies of prime movers in the sector. The energy end-use model also allocated combustible fuel and renewable energy inputs among generic end-uses including intermediate conversions through onsite power and steam generation. The model was presented in the form of a graphical depiction of energy flows. Results indicate that 35 per cent of the energy output from boilers is used for power generation, whereas 45 per cent goes directly to end-uses and 20 per cent to waste heat tanks for recovery in the chemical industry. The end-use model for the industrial gas manufacturing sector revealed that 42 per cent of the fuel input goes to onsite steam and power generation, whereas 58 per cent goes directly to end-uses. Among the end-uses, machine drive was the biggest energy user. It was suggested that the model is applicable to all other industries and is consistent with U.S. Department of Energy data for 1998. When used in conjunction with similar models for other years, it can be used to identify changes and trends in energy utilization at the prime mover level of detail. An analysis of the economic impact of energy losses can be based on the results of this model. Cascading of waste heat from high temperature processes to low temperature processes could be integrated into the model. 20 refs., 4 tabs., 8 figs

  1. Industrial pollution and the management of river water quality: a model of Kelani River, Sri Lanka.

    Science.gov (United States)

    Gunawardena, Asha; Wijeratne, E M S; White, Ben; Hailu, Atakelty; Pandit, Ram

    2017-08-19

    Water quality of the Kelani River has become a critical issue in Sri Lanka due to the high cost of maintaining drinking water standards and the market and non-market costs of deteriorating river ecosystem services. By integrating a catchment model with a river model of water quality, we developed a method to estimate the effect of pollution sources on ambient water quality. Using integrated model simulations, we estimate (1) the relative contribution from point (industrial and domestic) and non-point sources (river catchment) to river water quality and (2) pollutant transfer coefficients for zones along the lower section of the river. Transfer coefficients provide the basis for policy analyses in relation to the location of new industries and the setting of priorities for industrial pollution control. They also offer valuable information to design socially optimal economic policy to manage industrialized river catchments.

  2. Econometric model of intraurban location of emitters and receptors of industrial air pollution

    Energy Technology Data Exchange (ETDEWEB)

    Santini, D. J.; Braid, R.

    1977-02-01

    An econometric model of air pollution for an intraurban location (the Chicago area) is constructed and estimated. The model treats employment and population as simultaneously determined. Exogenous variables are selected to represent transportation infrastructure investments resulting primarily from federal and state decisions. The exogenous variables account for the relative services provided by highways, commuter railroads, rail rapid transit, waterways, and airports. The employment location equations appear to be considerably more successful than those in previous studies. These equations indicate that waterway availability constrains the locational options of most major industrial air polluters; that highway accessibility is a more influential factor in industrial than services location choices; that rail rapid transit accessibility is more important to services than industrial locations; and that major airports attract light industrial development. The success of the employment location equations reflects the importance of disaggregating intraurban modes of transport and of adding to urban location models the local effects of interurban modes of transport such as water and air.

  3. Introducing renewable energy and industrial restructuring to reduce GHG emission: Application of a dynamic simulation model

    International Nuclear Information System (INIS)

    Song, Junnian; Yang, Wei; Higano, Yoshiro; Wang, Xian’en

    2015-01-01

    Highlights: • Renewable energy development is expanded and introduced into socioeconomic activities. • A dynamic optimization simulation model is developed based on input–output approach. • Regional economic, energy and environmental impacts are assessed dynamically. • Industrial and energy structure is adjusted optimally for GHG emission reduction. - Abstract: Specifying the renewable energy development as new energy industries to be newly introduced into current socioeconomic activities, this study develops a dynamic simulation model with input–output approach to make comprehensive assessment of the impacts on economic development, energy consumption and GHG emission under distinct levels of GHG emission constraints involving targeted GHG emission reduction policies (ERPs) and industrial restructuring. The model is applied to Jilin City to conduct 16 terms of dynamic simulation work with GRP as objective function subject to mass, value and energy balances aided by the extended input–output table with renewable energy industries introduced. Simulation results indicate that achievement of GHG emission reduction target is contributed by renewable energy industries, ERPs and industrial restructuring collectively, which reshape the terminal energy consumption structure with a larger proportion of renewable energy. Wind power, hydropower and biomass combustion power industries account for more in the power generation structure implying better industrial prospects. Mining, chemical, petroleum processing, non-metal, metal and thermal power industries are major targets for industrial restructuring. This method is crucial for understanding the role of renewable energy development in GHG mitigation efforts and other energy-related planning settings, allowing to explore the optimal level for relationships among all socioeconomic activities and facilitate to simultaneous pursuit of economic development, energy utilization and environmental preservation

  4. A Hybrid Model for Forecasting Sales in Turkish Paint Industry

    Directory of Open Access Journals (Sweden)

    Alp Ustundag

    2009-12-01

    Full Text Available Sales forecasting is important for facilitating effective and efficient allocation of scarce resources. However, how to best model and forecast sales has been a long-standing issue. There is no best forecasting method that is applicable in all circumstances. Therefore, confidence in the accuracy of sales forecasts is achieved by corroborating the results using two or more methods. This paper proposes a hybrid forecasting model that uses an artificial intelligence method (AI with multiple linear regression (MLR to predict product sales for the largest Turkish paint producer. In the hybrid model, three different AI methods, fuzzy rule-based system (FRBS, artificial neural network (ANN and adaptive neuro fuzzy network (ANFIS, are used and compared to each other. The results indicate that FRBS yields better forecasting accuracy in terms of root mean squared error (RMSE and mean absolute percentage error (MAPE.

  5. Application of DIgSILENT POWERFACTORY software for modeling of industrial network relay protection system

    Directory of Open Access Journals (Sweden)

    Sučević Nikola

    2016-01-01

    Full Text Available This paper presents modeling of industrial network relay protection system using DIgSILENT PowerFactory software. The basis for the model of protection system is a model of a single substation in an industrial network. The paper presents the procedure for modeling of protective devices of 6 kV asynchronous motors, 6/0,4 kV/kV transformers as well as protection in the bus coupler and busbar protection. Protective relay system response for the simulated disturbances is shown in the paper.

  6. Application of DIgSILENT POWERFACTORY software for modeling of industrial network relay protection system

    OpenAIRE

    Sučević Nikola; Milošević Dejan

    2016-01-01

    This paper presents modeling of industrial network relay protection system using DIgSILENT PowerFactory software. The basis for the model of protection system is a model of a single substation in an industrial network. The paper presents the procedure for modeling of protective devices of 6 kV asynchronous motors, 6/0,4 kV/kV transformers as well as protection in the bus coupler and busbar protection. Protective relay system response for the simulated disturbances is shown in the paper.

  7. Evaluation of sustainable development using business excellence model in used motor oil industries

    Directory of Open Access Journals (Sweden)

    Malek Hassanpour

    2014-10-01

    Full Text Available Business and commerce are a chance to create wealth and economic development in companies and industries. Leader of companies must be containing a sense of relief and hope as one of the factors of production and wealth to enhance trust, cooperation between the organization and the community. In order to achieve at the Business Excellence (BE is emphasized to the need for the simultaneous measurement of organizational performance on the Critical Success Factors (CSFs, environmental, social issues and challenges. Objective of current study was to evaluate of sustainable development in used motor oil industry using BE models. Therefore, a framework was discussed as distinct from other common practices to measure performance of an industry. The models allow multi -dimensional focuses on different indicators of the organization's internal, external and CSFs. The check list method was used to collect data in site of industry in the present study. Then, obtained results were surveyed by models such as the Malcolm Baldrige National Quality Award (MBNQA, European Federation for Quality Management (EFQM and Kanji’s Business Excellence Model (KBEM. Results of current analyze indicated that despite the fact that these models and approaches are different, but they are same in term of shared concepts. Finally, we can be able to say that the simultaneous implementation of these models and approaches can be a suitable process in the study of sustainable development of organizations. According to the obtained results of models, the case study industry was in sustainable development conditions.

  8. A Companion Model Approach to Modelling and Simulation of Industrial Processes

    International Nuclear Information System (INIS)

    Juslin, K.

    2005-09-01

    Modelling and simulation provides for huge possibilities if broadly taken up by engineers as a working method. However, when considering the launching of modelling and simulation tools in an engineering design project, they shall be easy to learn and use. Then, there is no time to write equations, to consult suppliers' experts, or to manually transfer data from one tool to another. The answer seems to be in the integration of easy to use and dependable simulation software with engineering tools. Accordingly, the modelling and simulation software shall accept as input such structured design information on industrial unit processes and their connections, as provided for by e.g. CAD software and product databases. The software technology, including required specification and communication standards, is already available. Internet based service repositories make it possible for equipment manufacturers to supply 'extended products', including such design data as needed by engineers engaged in process and automation integration. There is a market niche evolving for simulation service centres, operating in co-operation with project consultants, equipment manufacturers, process integrators, automation designers, plant operating personnel, and maintenance centres. The companion model approach for specification and solution of process simulation models, as presented herein, is developed from the above premises. The focus is on how to tackle real world processes, which from the modelling point of view are heterogeneous, dynamic, very stiff, very nonlinear and only piece vice continuous, without extensive manual interventions of human experts. An additional challenge, to solve the arising equations fast and reliable, is dealt with, as well. (orig.)

  9. Energy infrastructure modeling for the oil sands industry: Current situation

    International Nuclear Information System (INIS)

    Lazzaroni, Edoardo Filippo; Elsholkami, Mohamed; Arbiv, Itai; Martelli, Emanuele; Elkamel, Ali; Fowler, Michael

    2016-01-01

    Highlights: • A simulation-based modelling of energy demands of oil sands operations is proposed. • Aspen simulations used to simulate delayed coking-based upgrading of bitumen. • The energy infrastructure is simulated using Aspen Plus achieving self-sufficiency. • Various scenarios affecting energy demand intensities are investigated. • Energy and CO_2 emission intensities of integrated SAGD/upgrading are estimated. - Abstract: In this study, the total energy requirements associated with the production of bitumen from oil sands and its upgrading to synthetic crude oil (SCO) are modeled and quantified. The production scheme considered is based on the commercially applied steam assisted gravity drainage (SAGD) for bitumen extraction and delayed coking for bitumen upgrading. In addition, the model quantifies the greenhouse gas (GHG) emissions associated with the production of energy required for these operations from technologies utilized in the currently existing oil sands energy infrastructure. The model is based on fundamental engineering principles, and Aspen HYSYS and Aspen Plus simulations. The energy demand results are expressed in terms of heat, power, hydrogen, and process fuel consumption rates for SAGD extraction and bitumen upgrading. Based on the model’s output, a range of overall energy and emission intensity factors are estimated for a bitumen production rate of 112,500 BPD (or 93,272 BPD of SCO), which were determined to be 262.5–368.5 MJ/GJ_S_C_O and 14.17–19.84 gCO_2/MJ_S_C_O, respectively. The results of the model indicate that the majority of GHG emissions are generated during SAGD extraction (up to 60% of total emissions) due to the combustion of natural gas for steam production, and the steam-to-oil ratio is a major parameter affecting total GHG emissions. The developed model can be utilized as a tool to predict the energy demand requirements for integrated SAGD/upgrading projects under different operating conditions, and

  10. THE MATEMATICAL MODEL OF CLARIFYING PROCESSES FOR INDUSTRIAL WASTEWATERS

    Directory of Open Access Journals (Sweden)

    Miodrag IOVANOV

    2011-11-01

    Full Text Available To minimize the SS amounts in the effluent from the settling tanks, SS predictive methods areneeded.By applying mathematical models, it is possible to predict the SS concentration from the settling tank;the predictions can be used in order to choose the best control action, that is whether changing the flow path isneeded or not whether changing the flow path is needed or not; whether mixing caused by the sludge removalfrom the tank should be stopped or limited.From the presented model, as well as from the graph of Gauss bell,we notice that the SS concentrations in the effluent from the settling tanks grow from m to m+3T(/x-m/<3T; i.e.the SS concentrations in the effluent from the settling tanks are Gaussian.

  11. Industrial Sector Technology Use Model (ISTUM): industrial energy use in the United States, 1974-2000. Volume 1. Primary model documentation. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Bohn, Roger E.; Herod, J. Steven; Andrews, Gwen L.; Budzik, Philip M.; Eissenstat, Richard S.; Grossmann, John R.; Reiner, Gary M.; Roschke, Thomas E.; Shulman, Michael J.; Toppen, Timothy R.; Veno, William R.; Violette, Daniel M.; Smolinski, Michael D.; Habel, Deborah; Cook, Alvin E.

    1979-10-01

    ISTUM is designed to predict the commercial market penetration of various energy technologies in the industrial sector out to the year 2000. It is a refinement and further development of Market Oriented Program Planning Study task force in 1977. ISTUM assesses the comparative economic competitiveness of each technology and competes over 100 energy technologies - conventionals, fossil/energy, conservation, cogeneration, solar, and geothermal. A broad overview of the model, the solution of the model, and an in-depth discussion of strength and limitations of the model are provided in Volume I. (MCW)

  12. Policy modeling for energy efficiency improvement in US industry

    International Nuclear Information System (INIS)

    Worrell, Ernst; Price, Lynn; Ruth, Michael

    2001-01-01

    We are at the beginning of a process of evaluating and modeling the contribution of policies to improve energy efficiency. Three recent policy studies trying to assess the impact of energy efficiency policies in the United States are reviewed. The studies represent an important step in the analysis of climate change mitigation strategies. All studies model the estimated policy impact, rather than the policy itself. Often the policy impacts are based on assumptions, as the effects of a policy are not certain. Most models only incorporate economic (or price) tools, which recent studies have proven to be insufficient to estimate the impacts, costs and benefits of mitigation strategies. The reviewed studies are a first effort to capture the effects of non-price policies. The studies contribute to a better understanding of the role of policies in improving energy efficiency and mitigating climate change. All policy scenarios results in substantial energy savings compared to the baseline scenario used, as well as substantial net benefits to the U.S. economy

  13. Modeling the effects of involvement and attitudes on energy industry pursuit intentions: A systems analysis of the university-industry environment

    Science.gov (United States)

    Gross, Jordan M.

    The energy industry's struggle to attract and retain qualified employees continues to threaten the nation's economy, global competitiveness, and national security. Given the nationwide skills and labor shortage in the energy industry, this study was conducted in response to a need to identify causes of person-environment fit and its effects on engineering students' intentions to work in the energy industry after graduation. Structural equation modeling was used to examine the relationships between student inputs, environmental factors, and career-related outcomes. Two models were compared using data collected from 381 undergraduate engineering students from across the country. Results suggest that students who gained knowledge about professions in the energy industry from participating in an internship or co-op at an energy-related company perceived greater fit with the goals and values of the energy industry. In addition, this study found that students who perceive high levels of fit with the energy industry also have high industry attraction, which directly affects their energy industry pursuit intentions. Overall, this research indicates that high quality internships have the potential to increase students' perceived industry fit, which is closely tied to their career intentions. Outcomes of this study are expected to provide stakeholders with new insights to improve practices within the university-industry environment that will educate, promote, and sustain a strong energy workforce for years to come.

  14. Formation of a model of strategic management of industrial tourism development in the region

    Directory of Open Access Journals (Sweden)

    L. E. Glagoleva

    2018-01-01

    Full Text Available Within the framework of this article it is proposed to form a model of strategic management of industrial tourism development in the region. Modern trends in the development of the tourism industry actively influence the development of the world economy as a whole, and the economy of the state and its regions. Tourism has become a huge separate part of economic activity, which can satisfy "special desires" of consumers. Satisfaction of these "basic desires" is carried out not only at the expense of the sphere of tourist services, but also organizations of other fields of activity – this explains the fact that tourism is one of the factors influencing the economic development of the country. The development of industrial tourism contributes to the emergence of new brands, improves the investment climate. Industrial tourism is a niche for the development of cooperation between the regional authorities, industrial and tourist companies. All of the above makes it necessary to improve the theoretical and scientific approaches to the development of strategic management of the development of industrial tourism in order to effectively use the industrial potential of the region, increase its investment attractiveness and the image of the region and the tourism industry, which will lead to the development of the region in both the tourism and industrial sectors. Towards the end of the 20th century, industrial tourism began to emerge in our country. Recently this trend is gaining momentum, and for its further development requires a competent system of strategic management. The relevance of this topic is due to the fact that in the conditions of modern market economy, it is necessary to search for new, non-traditional forms of tourism development of their management in order to attract tourists from a more diverse range of target groups, to stimulate the re-visit of industrial tourism in the region.

  15. Performance prediction of industrial centrifuges using scale-down models.

    Science.gov (United States)

    Boychyn, M; Yim, S S S; Bulmer, M; More, J; Bracewell, D G; Hoare, M

    2004-12-01

    Computational fluid dynamics was used to model the high flow forces found in the feed zone of a multichamber-bowl centrifuge and reproduce these in a small, high-speed rotating disc device. Linking the device to scale-down centrifugation, permitted good estimation of the performance of various continuous-flow centrifuges (disc stack, multichamber bowl, CARR Powerfuge) for shear-sensitive protein precipitates. Critically, the ultra scale-down centrifugation process proved to be a much more accurate predictor of production multichamber-bowl performance than was the pilot centrifuge.

  16. Modelled basic parameters for semi-industrial irradiation plant design

    International Nuclear Information System (INIS)

    Mangussi, J.

    2009-01-01

    The basic parameters of an irradiation plant design are the total activity, the product uniformity ratio and the efficiency process. The target density, the minimum dose required and the throughput depends on the use to which the irradiator will be put at. In this work, a model for calculating the specific dose rate at several depths in an infinite homogeneous medium produced by a slab source irradiator is presented. The product minimum dose rate for a set of target thickness is obtained. The design method steps are detailed and an illustrative example is presented. (author)

  17. [Decomposition model of energy-related carbon emissions in tertiary industry for China].

    Science.gov (United States)

    Lu, Yuan-Qing; Shi, Jun

    2012-07-01

    Tertiary industry has been developed in recent years. And it is very important to find the factors influenced the energy-related carbon emissions in tertiary industry. A decomposition model of energy-related carbon emissions for China is set up by adopting logarithmic mean weight Divisia method based on the identity of carbon emissions. The model is adopted to analyze the influence of energy structure, energy efficiency, tertiary industry structure and economic output to energy-related carbon emissions in China from 2000 to 2009. Results show that the contribution rate of economic output and energy structure to energy-related carbon emissions increases year by year. Either is the contribution rate of energy efficiency or the tertiary industry restraining to energy-related carbon emissions. However, the restrain effect is weakening.

  18. Increasing economic stability of the industrial enterprise as a result of its market value modeling

    Directory of Open Access Journals (Sweden)

    Efimova M.G.

    2017-01-01

    Full Text Available The article deals with an urgent problem of the Russian and global economic stability. The issues of management of the modern industrial enterprise in the conditions of variable economy are considered in this research. Also the article highlights the importance of evaluation of industrial enterprises in Russia nowadays. The management model of the industrial enterprise cost based on sustainability criteria is constructed. The author focuses on new approaches to mathematic modeling of business evaluation. The article contains graphs and charts related to performance of enterprise system and different business strategies based on economic sustainability. Relevant problems of management by means of business assessment for enterprises owners and top managers are defined. The aim of the article is to suggest measures for the Russian industry to manage the cost of enterprises and consequently, to make national economy management more effective.

  19. Promoting low-carbon city through industrial symbiosis: A case in China by applying HPIMO model

    International Nuclear Information System (INIS)

    Dong, Liang; Fujita, Tsuyoshi; Zhang, Hui; Dai, Ming; Fujii, Minoru; Ohnishi, Satoshi; Geng, Yong; Liu, Zhu

    2013-01-01

    China launched low-carbon city strategy to respond global climate change. Industrial symbiosis (IS) could generate both economic and environmental benefits in clustered industries and communities. This research shed light on how industrial symbiosis contributes to city's low-carbon development. An urban-level hybrid physical input and monetary output (HPIMO) model which covers physical energy inputs and air pollutants emissions, is established for addressing case study in a Chinese typical industrial city (Liuzhou). Based on current energy consumption and industrial symbiosis and the application of HPIMO model, scenarios related to industrial symbiosis, including waste plastics recycling, scrap tires recycling, flying ash recycling and biomass utilization are explored. Results show that compared with business-as-usual (BAU) scenario, IS can reduce solid wastes and further contribute to the co-benefits of energy saving, CO 2 emissions reduction and air pollutants reduction. The finding is critical for national low-carbon strategy. Finally, policy implications to support the ever-improvement of IS promotion in China are proposed and discussed. - Highlights: • Industrial symbiosis could contribute to low-carbon city in terms of co-benefit. • Co-benefit of IS was in terms of waste reduction and air pollutants reduction. • Waste plastics recycling and biomass utilization generated large co-benefit. • Coal fly ash recycling reduced the solid waste while increased air pollutants. • The prices of wastes and facilities investment affected the total cost-benefit

  20. Modeling emergency evacuation for major hazard industrial sites

    International Nuclear Information System (INIS)

    Georgiadou, Paraskevi S.; Papazoglou, Ioannis A.; Kiranoudis, Chris T.; Markatos, Nikolaos C.

    2007-01-01

    A model providing the temporal and spatial distribution of the population under evacuation around a major hazard facility is developed. A discrete state stochastic Markov process simulates the movement of the evacuees. The area around the hazardous facility is divided into nodes connected among themselves with links representing the road system of the area. Transition from node-to-node is simulated as a random process where the probability of transition depends on the dynamically changed states of the destination and origin nodes and on the link between them. Solution of the Markov process provides the expected distribution of the evacuees in the nodes of the area as a function of time. A Monte Carlo solution of the model provides in addition a sample of actual trajectories of the evacuees. This information coupled with an accident analysis which provides the spatial and temporal distribution of the extreme phenomenon following an accident, determines a sample of the actual doses received by the evacuees. Both the average dose and the actual distribution of doses are then used as measures in evaluating alternative emergency response strategies. It is shown that in some cases the estimation of the health consequences by the average dose might be either too conservative or too non-conservative relative to the one corresponding to the distribution of the received dose and hence not a suitable measure to evaluate alternative evacuation strategies

  1. Dispersion in the wake of a model industrial complex

    International Nuclear Information System (INIS)

    Hatcher, R.V.; Meroney, R.N.; Peterka, J.A.; Kothari, K.

    1977-06-01

    Models (1:200 scale) of the EOCR reactor building and surrounding silo and tank buildings at the Idaho National Engineering Laboratory, Idaho Falls, Idaho were put into the Meteorological Wind Tunnel at Colorado State University for the purpose of studying the effects of building wakes on dispersion. Flow visualization was done and concentration measurements were taken. The test program consisted of systematic releases from ground, building height, and stack height sources with no appreciable plume rise. The program was repeated for cases of moderately unstable, neutral, moderately stable, and stable conditions in the wind tunnel. Results show that the buildings significantly alter the dispersion patterns and the addition of any extra buildings or slight terrain change in the immediate vicinity of the building has a major effect. In the near wake region the effects of stratification were still evident causing slightly higher concentrations for stable conditions and slightly lower for unstable. Current dispersion models are discussed and evaluated that predict concentrations in the building wake region

  2. Standardization, diversity, and learning: A model for the nuclear power industry

    International Nuclear Information System (INIS)

    David, P.A.; Rothwell, G.S.

    1992-11-01

    The lack of standardization, frequently mentioned as a burden borne by the U.S. nuclear industry, is discussed. A simple model of learning and standardization is presented. It is shown that when the effects of learning through diversity are strong, the present value of long-run costs can be minimized with either complete standardization or with complete experimentation where no two reactors are similar in the early stages of the industry. The conclusion discusses the relevance of these and other analytical results to the present U.S. nuclear industry regarding standardization policies. 8 refs

  3. Industrial applications of formal methods to model, design and analyze computer systems

    CERN Document Server

    Craigen, Dan

    1995-01-01

    Formal methods are mathematically-based techniques, often supported by reasoning tools, that can offer a rigorous and effective way to model, design and analyze computer systems. The purpose of this study is to evaluate international industrial experience in using formal methods. The cases selected are representative of industrial-grade projects and span a variety of application domains. The study had three main objectives: · To better inform deliberations within industry and government on standards and regulations; · To provide an authoritative record on the practical experience of formal m

  4. Decision support model for selecting and evaluating suppliers in the construction industry

    Directory of Open Access Journals (Sweden)

    Fernando Schramm

    2012-12-01

    Full Text Available A structured evaluation of the construction industry's suppliers, considering aspects which make their quality and credibility evident, can be a strategic tool to manage this specific supply chain. This study proposes a multi-criteria decision model for suppliers' selection from the construction industry, as well as an efficient evaluation procedure for the selected suppliers. The model is based on SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranking method and its main contribution is a new approach to structure the process of suppliers' selection, establishing explicit strategic policies on which the company management system relied to make the suppliers selection. This model was applied to a Civil Construction Company in Brazil and the main results demonstrate the efficiency of the proposed model. This study allowed the development of an approach to Construction Industry which was able to provide a better relationship among its managers, suppliers and partners.

  5. Analyze of Predictive Model of Innovation Management in Processing and Complementary Industries of Livestock Products

    OpenAIRE

    Ahmad Reza Ommani

    2015-01-01

    The purpose of this study was designing predictive model for innovation management in processing and complementary industries of livestock products. The method of research was correlative descriptive. The population of this research was managers in processing and complementary industries of livestock products of Khouzestan Province (N=486). By stratified random sampling, a random sample (n=125) was selected for participation in the study. A questionnaire was developed to ...

  6. Ubiquitous TV: A Business Model Perspective on the Norwegian Television Industry

    OpenAIRE

    Bjøndal, Tore Stautland; Gedde, Mads

    2011-01-01

    The Internet is an emerging distribution channel for television content that will deeply impact industry incumbents in the long term. This master thesis explores what challenges are brought forth in this industry by the possibility of Internet distribution of TV and how these issues should be addressed from the business model perspective of incumbent distributors in the Norwegian television market.There have been tremendous developments in Internet related infrastructure over the last decade....

  7. A NEW PROCESS MODEL FOR EMBEDDED SYSTEMS CONTROL FOR TELECOM INDUSTRY

    OpenAIRE

    Sanjai Gupta; Mohammed Hussain

    2012-01-01

    This research deals with important issue for the embedded system in telecom industry. The rapid increase of a software and software based functionality brings various challenges for the telecom industry. As we all know for any given software product the most important thing is its cost, reliability, schedule and quality, these all can be achieve by following good software process models. And hence mostorganization and businesses put more emphasis on software processes by asking their software...

  8. A COUNTY-LEVEL MODEL OF MANUFACTURING PLANT RECRUITMENT WITH IMPROVED INDUSTRIAL SITE QUALITY MEASUREMENT

    OpenAIRE

    Kriesel, Warren; McNamara, Kevin T.

    1991-01-01

    Empirical analysis of manufacturing plant location requires the use of a single industrial site quality measure. Under hedonic price theory, the price of industrial sites can be explained by their quality characteristics. The estimated site price is included with ten other location factors in an ordered, categorical logit model of plant attraction to Georgia counties. The results inform public decision-makers of the relative impact of site location factors and how changes in location factors ...

  9. A Suitable Software Process Improvement Model for the UK Healthcare Industry

    Science.gov (United States)

    Nguyen, Tien D.; Guo, Hong; Naguib, Raouf N. G.

    Over the recent years, the UK Healthcare sector has been the prime focus of many reports and industrial surveys, particularly in the field of software development and management issues. This signals the importance of growing concerns regarding quality issues in the Healthcare domain. In response to this, a new tailored Healthcare Process Improvement (SPI) model is proposed, which takes into consideration both signals from the industry and insights from literature.

  10. A customer satisfaction model for a utility service industry

    Science.gov (United States)

    Jamil, Jastini Mohd; Nawawi, Mohd Kamal Mohd; Ramli, Razamin

    2016-08-01

    This paper explores the effect of Image, Customer Expectation, Perceived Quality and Perceived Value on Customer Satisfaction, and to investigate the effect of Image and Customer Satisfaction on Customer Loyalty of mobile phone provider in Malaysia. The result of this research is based on data gathered online from international students in one of the public university in Malaysia. Partial Least Squares Structural Equation Modeling (PLS-SEM) has been used to analyze the data that have been collected from the international students' perceptions. The results found that Image and Perceived Quality have significant impact on Customer Satisfaction. Image and Customer Satisfaction ware also found to have significantly related to Customer Loyalty. However, no significant impact has been found between Customer Expectation with Customer Satisfaction, Perceived Value with Customer Satisfaction, and Customer Expectation with Perceived Value. We hope that the findings may assist the mobile phone provider in production and promotion of their services.

  11. Entrepreneural adaptation processes. An industry-geographic working model, illustrated by the example of Saarbergwerke AG

    International Nuclear Information System (INIS)

    Doerrenbaecher, P.

    1992-01-01

    The study has two goals: Solutions based in industrial geography and chronogeography are to be synthesized in order to develop a model of entrepreneurial adaptation processes. On the basis of this model, the development of Saarbergwerke AG in the first phase of the coal crisis (1957-1962) is reconstructed as an entrepreneurial adaptation process. (orig.) [de

  12. Advanced autonomous model-based operation of industrial process systems (Autoprofit) : technological developments and future perspectives

    NARCIS (Netherlands)

    Ozkan, L.; Bombois, X.J.A.; Ludlage, J.H.A.; Rojas, C.R.; Hjalmarsson, H.; Moden, P.E.; Lundh, M.; Backx, A.C.P.M.; Van den Hof, P.M.J.

    2016-01-01

    Model-based operation support technology such as Model Predictive Control (MPC) is a proven and accepted technology for multivariable and constrained large scale control problems in process industry. Despite the growing number of successful implementations, the low level of operational efficiency of

  13. A Simple Forecasting Model Linking Macroeconomic Policy to Industrial Employment Demand.

    Science.gov (United States)

    Malley, James R.; Hady, Thomas F.

    A study detailed further a model linking monetary and fiscal policy to industrial employment in metropolitan and nonmetropolitan areas of four United States regions. The model was used to simulate the impacts on area and regional employment of three events in the economy: changing real gross national product (GNP) via monetary policy, holding the…

  14. CREATING AND EVALUATING SUSTAINABLE BUSINESS MODELS – A CROSS-INDUSTRY CASE STUDY

    DEFF Research Database (Denmark)

    Aagaard, Annabeth

    of understanding, creating and evaluating businesses and their business models. The objective of this article is to explore how sustainable business models can be created and evaluated across different companies and industrial contexts. Although many authors have stressed the business potentials of sustainable...

  15. The state of the art of innovation-driven business models in the financial services industry

    NARCIS (Netherlands)

    Lüftenegger, E.R.; Angelov, S.A.; Linden, van der E.; Grefen, P.W.P.J.

    2010-01-01

    Emerging innovation-driven business models are changing the financial services landscape. Most companies are using innovation to sustain their business models. However, new entrants into the financial services market innovate in a way that disrupts the industry. Typically, directions for innovation

  16. Environmental efficiency analysis of power industry in China based on an entropy SBM model

    International Nuclear Information System (INIS)

    Zhou, Yan; Xing, Xinpeng; Fang, Kuangnan; Liang, Dapeng; Xu, Chunlin

    2013-01-01

    In order to assess the environmental efficiency of power industry in China, this paper first proposes a new non-radial DEA approach by integrating the entropy weight and the SBM model. This will improve the assessment reliability and reasonableness. Using the model, this study then evaluates the environmental efficiency of the Chinese power industry at the provincial level during 2005–2010. The results show a marked difference in environmental efficiency of the power industry among Chinese provinces. Although the annual, average, environmental efficiency level fluctuates, there is an increasing trend. The Tobit regression analysis reveals the innovation ability of enterprises, the proportion of electricity generated by coal-fired plants and the generation capacity have a significantly positive effect on environmental efficiency. However the waste fees levied on waste discharge and investment in industrial pollutant treatment are negatively associated with environmental efficiency. - Highlights: ► We assess the environmental efficiency of power industry in China by E-SBM model. ► Environmental efficiency of power industry is different among provinces. ► Efficiency stays at a higher level in the eastern and the western area. ► Proportion of coal-fired plants has a positive effect on the efficiency. ► Waste fees and the investment have a negative effect on the efficiency

  17. Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks

    Directory of Open Access Journals (Sweden)

    L. Khaouane

    2013-03-01

    Full Text Available This work investigates the use of artificial neural networks in modeling an industrial fermentation process of Pleuromutilin produced by Pleurotus mutilus in a fed-batch mode. Three feed-forward neural network models characterized by a similar structure (five neurons in the input layer, one hidden layer and one neuron in the output layer are constructed and optimized with the aim to predict the evolution of three main bioprocess variables: biomass, substrate and product. Results show a good fit between the predicted and experimental values for each model (the root mean squared errors were 0.4624% - 0.1234 g/L and 0.0016 mg/g respectively. Furthermore, the comparison between the optimized models and the unstructured kinetic models in terms of simulation results shows that neural network models gave more significant results. These results encourage further studies to integrate the mathematical formulae extracted from these models into an industrial control loop of the process.

  18. An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China

    Directory of Open Access Journals (Sweden)

    Zheng-Xin Wang

    2014-01-01

    Full Text Available The grey dynamic model by convolution integral with the first-order derivative of the 1-AGO data and n series related, abbreviated as GDMC(1,n, performs well in modelling and forecasting of a grey system. To improve the modelling accuracy of GDMC(1,n, n interpolation coefficients (taken as unknown parameters are introduced into the background values of the n variables. The parameters optimization is formulated as a combinatorial optimization problem and is solved collectively using the particle swarm optimization algorithm. The optimized result has been verified by a case study of the economic output of high-tech industry in China. Comparisons of the obtained modelling results from the optimized GDMC(1,n model with the traditional one demonstrate that the optimal algorithm is a good alternative for parameters optimization of the GDMC(1,n model. The modelling results can assist the government in developing future policies regarding high-tech industry management.

  19. Transformation of Malaysian Construction Industry with Building Information Modelling (BIM

    Directory of Open Access Journals (Sweden)

    Latiffi Aryani Ahmad

    2016-01-01

    Full Text Available Building Information Modelling (BIM is a revolution of technology and a process that transformed the way building is planned, designed, analysed, constructed and managed. The revolution of technology and process could increase the quality of construction projects. The knowledge of BIM has been expanding in many countries including Malaysia. Since its inception, the use of BIM has broadened up widely with different purposes. The aims of this paper is to investigate the BIM implementation and uses in Malaysian construction projects. The methodologies adopted for structuring this paper are by using literature review and semi-structured interview with construction players that have experienced and being involved in projects using BIM. The purpose of literature review is to illustrate on the pervious research on the subject matter. Meanwhile, the purpose of interviews is to explore the involvement of construction players, years of experience in projects using BIM and BIM uses in construction projects. The findings revealed that BIM has been implemented in Malaysia since 2007 by various construction players, which are client, architect, C&S engineer, M&E engineer, QS, contractor, facilities manager and BIM consultant. The findings also revealed that BIM is used for project’ visualisation, improving project design, detecting design clashes, quantity take off and operation and maintenance. Further work will be focused on the current practices of construction players in projects using BIM.

  20. Tobacco industry responsibility for butts: a Model Tobacco Waste Act.

    Science.gov (United States)

    Curtis, Clifton; Novotny, Thomas E; Lee, Kelley; Freiberg, Mike; McLaughlin, Ian

    2017-01-01

    Cigarette butts and other postconsumer products from tobacco use are the most common waste elements picked up worldwide each year during environmental cleanups. Under the environmental principle of Extended Producer Responsibility, tobacco product manufacturers may be held responsible for collection, transport, processing and safe disposal of tobacco product waste (TPW). Legislation has been applied to other toxic and hazardous postconsumer waste products such as paints, pesticide containers and unused pharmaceuticals, to reduce, prevent and mitigate their environmental impacts. Additional product stewardship (PS) requirements may be necessary for other stakeholders and beneficiaries of tobacco product sales and use, especially suppliers, retailers and consumers, in order to ensure effective TPW reduction. This report describes how a Model Tobacco Waste Act may be adopted by national and subnational jurisdictions to address the environmental impacts of TPW. Such a law will also reduce tobacco use and its health consequences by raising attention to the environmental hazards of TPW, increasing the price of tobacco products, and reducing the number of tobacco product retailers. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  1. Evolution of strategies and competition in the international airline industry: a practical analysis using porter's competitive forces model

    OpenAIRE

    Zannoni, Niccolò

    2013-01-01

    This master thesis describes the evolution of the competition and strategies in the international airline industry. It studies the industry before and after deregulation, using the competitive forces model.

  2. An Integrated Performance Evaluation Model for the Photovoltaics Industry

    Directory of Open Access Journals (Sweden)

    He-Yau Kang

    2012-04-01

    Full Text Available Global warming is causing damaging changes to climate around the World. For environmental protection and natural resource scarcity, alternative forms of energy, such as wind energy, fire energy, hydropower energy, geothermal energy, solar energy, biomass energy, ocean power and natural gas, are gaining attention as means of meeting global energy demands. Due to Japan’s nuclear plant disaster in March 2011, people are demanding a good alternative energy resource, which not only produces zero or little air pollutants and greenhouse gases, but also with a high safety level to protect the World. Solar energy, which depends on an infinite resource, the sun, is one of the most promising renewable energy sources from the perspective of environmental sustainability. Currently, the manufacturing cost of solar cells is still very high, and the power conversion efficiency is low. Therefore, photovoltaics (PV firms must continue to invest in research and development, commit to product differentiation, achieve economies of scale, and consider the possibility of vertical integration, in order to strengthen their competitiveness and to acquire the maximum benefit from the PV market. This research proposes a performance evaluation model by integrating analytic hierarchy process (AHP and data envelopment analysis (DEA to assess the current business performance of PV firms. AHP is applied to obtain experts’ opinions on the importance of the factors, and DEA is used to determine which firms are efficient. A case study is performed on the crystalline silicon PV firms in Taiwan. The findings shall help the firms determine their strengths and weaknesses and provide directions for future improvements in business operations.

  3. The Policy Dystopia Model: An Interpretive Analysis of Tobacco Industry Political Activity.

    Science.gov (United States)

    Ulucanlar, Selda; Fooks, Gary J; Gilmore, Anna B

    2016-09-01

    Tobacco industry interference has been identified as the greatest obstacle to the implementation of evidence-based measures to reduce tobacco use. Understanding and addressing industry interference in public health policy-making is therefore crucial. Existing conceptualisations of corporate political activity (CPA) are embedded in a business perspective and do not attend to CPA's social and public health costs; most have not drawn on the unique resource represented by internal tobacco industry documents. Building on this literature, including systematic reviews, we develop a critically informed conceptual model of tobacco industry political activity. We thematically analysed published papers included in two systematic reviews examining tobacco industry influence on taxation and marketing of tobacco; we included 45 of 46 papers in the former category and 20 of 48 papers in the latter (n = 65). We used a grounded theory approach to build taxonomies of "discursive" (argument-based) and "instrumental" (action-based) industry strategies and from these devised the Policy Dystopia Model, which shows that the industry, working through different constituencies, constructs a metanarrative to argue that proposed policies will lead to a dysfunctional future of policy failure and widely dispersed adverse social and economic consequences. Simultaneously, it uses diverse, interlocking insider and outsider instrumental strategies to disseminate this narrative and enhance its persuasiveness in order to secure its preferred policy outcomes. Limitations are that many papers were historical (some dating back to the 1970s) and focused on high-income regions. The model provides an evidence-based, accessible way of understanding diverse corporate political strategies. It should enable public health actors and officials to preempt these strategies and develop realistic assessments of the industry's claims.

  4. PENERAPAN MODEL PREVENTIVE MAINTENANCE SMITH DAN DEKKER DI PD. INDUSTRI UNIT INKABA

    Directory of Open Access Journals (Sweden)

    Hari Adianto

    2005-01-01

    Full Text Available The globalization era along with fast development of technology%2C industries must try to increase the quantity and quality of products that they have produced. The development of industrial products which have been increase continually need support from fluency of production process. In this case the industrial companies want a high availability system. PD Industri Unit Inkaba is one of the companies that moves in sector rubber technique industry. The company wants the production process go smoothly so that the company can keeps the existence and increases the product’s quality with cost efficiency and can competes with foreign markets. The smoothness of production process needs support from machines or production’s tools that have good condition. To keep the machines in good condition so that they will in the optimal condition when used%2C then the machines need to be maintained. M.A.J. Smith dan R. Dekker develop a model that combine availability model and preventive maintenance and consider the expected uptime and downtime of the system. This model is a 1 out of n system model%2C which has one operating machine and support by (n – 1 unit machine reserves. A 1 out of n system is also applicable to replaceable components. Smith and Dekker’s model gives the expected uptime and downtime of the system approximation that can gives good approximation of long term average operating cost. The results from decision of component preventive replacement age and optimal number of component reserve are expected to be able to keep the reliability system and be able to avoid the decease of availability system because of maintenance activity. Abstract in Bahasa Indonesia : Dalam era persaingan industri yang semakin global disertai perkembangan teknologi yang pesat%2C industri-industri terus berusaha meningkatkan kuantitas dan kualitas produk yang dihasilkannya. Perkembangan hasil industri yang semakin meningkat secara terus-menerus memerlukan dukungan

  5. Analysis of the industrial sector representation in the Fossil2 energy-economic model

    International Nuclear Information System (INIS)

    Wise, M.A.; Woodruff, M.G.; Ashton, W.B.

    1992-08-01

    The Fossil2 energy-economic model is used by the US Department of Energy (DOE) for a variety of energy and environmental policy analyses. A number of improvements to the model are under way or are being considered. This report was prepared by the Pacific Northwest Laboratory (PNL) to provide a clearer understanding of the current industrial sector module of Fossil2 and to explore strategies for improving it. The report includes a detailed description of the structure and decision logic of the industrial sector module, along with results from several simulation exercises to demonstrate the behavior of the module in different policy scenarios and under different values of key model parameters. The cases were run with the Fossil2 model at PNL using the National Energy Strategy Actions Case of 1991 as the point of departure. The report also includes a discussion of suggested industrial sector module improvements. These improvements include changes in the way the current model is used; on- and off-line adjustments to some of the model's parameters; and significant changes to include more detail on the industrial processes, technologies, and regions of the country being modeled. The potential benefits and costs of these changes are also discussed

  6. Fuzzy logic and modeling of ventilation networks in the nuclear industry; Logique floue et modelisation des reseaux de ventilation dans l'industrie nucleaire

    Energy Technology Data Exchange (ETDEWEB)

    Floquet, P.; Lhoste, J.C.; Domenech, S.; Pibouleau, L. [Ecole Nationale Superieure des Arts Chimiques et Technologiques, Lab. de Genie Chimique, LGC, UMR CNRS/INP/UPS 5503, 31 - Toulouse (France); Laborde, J.C. [CEA Saclay, Institut de la Protection et de la Surete Nucleaire, IPSN, DPEA/SERAC, 91 - Gif-sur-Yvette (France)

    2001-07-01

    This article presents the implementation of fuzzy logic in the modeling of ducts, filters and pressures of the ventilation networks of the nuclear industry, taking into account the uncertainties of the aeraulic parameters. (J.S.)

  7. Organizational Learning Supported by Reference Architecture Models: Industry 4.0 Laboratory Study

    Directory of Open Access Journals (Sweden)

    Marco Nardello

    2017-10-01

    Full Text Available The wave of the fourth industrial revolution (Industry 4.0 is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is "Smart production". Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0 as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment. This article discusses and generalizes the experience and outlines future research directions.

  8. Building Information Modelling: Challenges and Barriers in Implement of BIM for Interior Design Industry in Malaysia

    Science.gov (United States)

    Hamid, A. B. Abd; Taib, M. Z. Mohd; Razak, A. H. N. Abdul; Embi, M. R.

    2018-04-01

    Building Information Modelling (BIM) is an innovative approach that has developed crossways the global in architecture, engineering and construction (AEC) industry. The construction industry of Malaysia has undergone a rapid development and dynamic technology adoption in advance and methods between the players industry and stakeholders. Consequently, limited technologies and devices have not been successful as it should have been. This study will be emphasizing scenarios of challenges and barriers in adopting BIM in interior design industry in Malaysia. The study was emphasizing the challenges and barriers in BIM usage from the designer’s perspective. The data are collected through the questionnaires as to identifying the barriers, knowledge, readiness and awareness and distributed to interior design firms were selected randomly. The finding of this research is to examine the barriers and causes of variables BIM usage for interior design industry in Malaysia. The outcome of this study is to identify the constraint of adoption BIM in interior design industry compare to others players in same industry.

  9. Modeling and simulating industrial land-use evolution in Shanghai, China

    Science.gov (United States)

    Qiu, Rongxu; Xu, Wei; Zhang, John; Staenz, Karl

    2018-01-01

    This study proposes a cellular automata-based Industrial and Residential Land Use Competition Model to simulate the dynamic spatial transformation of industrial land use in Shanghai, China. In the proposed model, land development activities in a city are delineated as competitions among different land-use types. The Hedonic Land Pricing Model is adopted to implement the competition framework. To improve simulation results, the Land Price Agglomeration Model was devised to simulate and adjust classic land price theory. A new evolutionary algorithm-based parameter estimation method was devised in place of traditional methods. Simulation results show that the proposed model closely resembles actual land transformation patterns and the model can not only simulate land development, but also redevelopment processes in metropolitan areas.

  10. Development of an environmental impact model for the steel industry in Libya

    Science.gov (United States)

    Zaghinin, Mansur Salem

    The global demand for steel is rising due to the infrastructural development of emergent economies in countries such as India, China, Thailand and Libya. Consequently, global steel production has increased dramatically and is expected to grow further in the future. Processing iron and steel is associated with a number of sustainable development challenges, including various economic, environmental and social issues. The increasing prominence of environmental issues in international and national political discourse, including the developing countries, means that stakeholders demand that manufacturers minimise the negative impacts of their operations.The steel industry must be able to measure and assess its environmental impacts and demonstrate continuous improvements. This requires an environmental management strategy to manage and minimise impacts on the environment. This study focuses on developing an environmental impacts model in steel industry to investigate the most important environmental parameters and their importance in order to mitigate environmental impacts.Based on the literature review and the elements that are considered as waste (derived from the waste survey in Libyan iron and steel industry), the potential environmental impacts of the steel industry are identified as criteria and sub-criteria. Then, a model is built using the Analytical Hierarchy Process (AHP) software based on the identified criteria and sub-criteria.The model also illustrates the overall goal which is creating environmental impacts model for steel industry, in addition, criteria and sub-criteria are listed to clarify the situation and make the analysis clearer and understandable. Pair wise comparisons are used to derive accurate ratio scale priorities.The results are analysed and presented as prioritised list of environmental impacts. Moreover, a series of sensitivity analyses are conducted to investigate the impact of changing the priority of the criteria on the alternatives

  11. The Value of Multivariate Model Sophistication: An Application to pricing Dow Jones Industrial Average options

    DEFF Research Database (Denmark)

    Rombouts, Jeroen V.K.; Stentoft, Lars; Violante, Francesco

    innovation for a Laplace innovation assumption improves the pricing in a smaller way. Apart from investigating directly the value of model sophistication in terms of dollar losses, we also use the model condence set approach to statistically infer the set of models that delivers the best pricing performance.......We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differer...

  12. Evaluation of an ASM1 Model Calibration Precedure on a Municipal-Industrial Wastewater Treatment Plant

    DEFF Research Database (Denmark)

    Petersen, Britta; Gernaey, Krist; Henze, Mogens

    2002-01-01

    treatment plant. In the case that was studied it was important to have a detailed description of the process dynamics, since the model was to be used as the basis for optimisation scenarios in a later phase. Therefore, a complete model calibration procedure was applied including: (1) a description......The purpose of the calibrated model determines how to approach a model calibration, e.g. which information is needed and to which level of detail the model should be calibrated. A systematic model calibration procedure was therefore defined and evaluated for a municipal–industrial wastewater...

  13. Simulation Modeling of Resilience Assessment in Indonesian Fertiliser Industry Supply Networks

    Science.gov (United States)

    Utami, I. D.; Holt, R. J.; McKay, A.

    2018-01-01

    Supply network resilience is a significant aspect in the performance of the Indonesian fertiliser industry. Decision makers use risk assessment and port management reports to evaluate the availability of infrastructure. An opportunity was identified to incorporate both types of data into an approach for the measurement of resilience. A framework, based on a synthesis of literature and interviews with industry practitioners, covering both social and technical factors is introduced. A simulation model was then built to allow managers to explore implications for resilience and predict levels of risk in different scenarios. Result of interview with respondens from Indonesian fertiliser industry indicated that the simulation model could be valuable in the assessment. This paper provides details of the simulation model for decision makers to explore levels of risk in supply networks. For practitioners, the model could be used by government to assess the current condition of supply networks in Indonesian industries. On the other hand, for academia, the approach provides a new application of agent-based models in research on supply network resilience and presents a real example of how agent-based modeling could be used as to support the assessment approach.

  14. Local Design & Global Dreams - Emerging Business Models creating the Emergent Electric Vehicle Industry

    DEFF Research Database (Denmark)

    Rask, Morten; Andersen, Poul Houman; Linneberg, Mai Skjøtt

    Electric cars hold the potential to completely alter the interrelationship among actors in the automobile industry architecture. As such they may not only be able to alleviate environmental externalities but also revolutionise the automobile industry as such. This paper is concerned...... with the processes of industry creation for the electric car industry, which is a particular fascinating topic matter as it allows the analysis to provide an understanding of the processes of innovation and of some of its inventors in concert. In continuation of this, the aim of this paper is to describe and analyse...... which emergent business models and corresponding value capturing capabilities can be found in the emerging market for electric cars....

  15. Mathematical Model and Artificial Intelligent Techniques Applied to a Milk Industry through DSM

    Science.gov (United States)

    Babu, P. Ravi; Divya, V. P. Sree

    2011-08-01

    The resources for electrical energy are depleting and hence the gap between the supply and the demand is continuously increasing. Under such circumstances, the option left is optimal utilization of available energy resources. The main objective of this chapter is to discuss about the Peak load management and overcome the problems associated with it in processing industries such as Milk industry with the help of DSM techniques. The chapter presents a generalized mathematical model for minimizing the total operating cost of the industry subject to the constraints. The work presented in this chapter also deals with the results of application of Neural Network, Fuzzy Logic and Demand Side Management (DSM) techniques applied to a medium scale milk industrial consumer in India to achieve the improvement in load factor, reduction in Maximum Demand (MD) and also the consumer gets saving in the energy bill.

  16. Multi-objective model of waste transportation management for crude palm oil industry

    Science.gov (United States)

    Silalahi, Meslin; Mawengkang, Herman; Irsa Syahputri, Nenna

    2018-02-01

    The crude palm oil industry is an agro-industrial commodity. The global market of this industry has experienced rapid growth in recent years, such that it has a strategic value to be developed for Indonesian economy. Despite these economic benefits there are a number of environmental problems at the factories, such as high water consumption, the generation of a large amount of wastewater with a high organic content, and the generation of a large quantity of solid wastes and air pollution. In terms of waste transportation, we propose a multiobjective programming model for managing business environmental risk in a crude palm oil manufacture which gives the best possible configuration of waste management facilities and allocates wastes to these facilities. Then we develop an interactive approach for tackling logistics and environmental risk production planning problem for the crude palm oil industry.

  17. Geographical Research Model of the Relation Between Tourism and Industry on the Framework of Pula

    Directory of Open Access Journals (Sweden)

    Nikola Vojnović

    2002-01-01

    Full Text Available The research gives a proposal of a theoretical research model, and can be the basis of geographical research of the relation between tourism and industry as two opposite human activities and branches of economy. The accent is set on the consideration of their relation in major urban areas, which show a parallel development of tourism and industry of the Second Industrial Revolution, typical for Croatian coastline region. The proposal of the research scheme, from the analysis of the present structure and the quantity, harmony and disharmony of both branches, to the possibility of creating an industrial-tourism region are analyzed in the first part of the work, whereas the results of the initial research are presented in the second part.

  18. An econometric model of the U.S. secondary copper industry: Recycling versus disposal

    Science.gov (United States)

    Slade, M.E.

    1980-01-01

    In this paper, a theoretical model of secondary recovery is developed that integrates microeconomic theories of production and cost with a dynamic model of scrap generation and accumulation. The model equations are estimated for the U.S. secondary copper industry and used to assess the impacts that various policies and future events have on copper recycling rates. The alternatives considered are: subsidies for secondary production, differing energy costs, and varying ore quality in primary production. ?? 1990.

  19. Preclinical QSP Modeling in the Pharmaceutical Industry: An IQ Consortium Survey Examining the Current Landscape

    Science.gov (United States)

    Wu, Fan; Bansal, Loveleena; Bradshaw‐Pierce, Erica; Chan, Jason R.; Liederer, Bianca M.; Mettetal, Jerome T.; Schroeder, Patricia; Schuck, Edgar; Tsai, Alice; Xu, Christine; Chimalakonda, Anjaneya; Le, Kha; Penney, Mark; Topp, Brian; Yamada, Akihiro

    2018-01-01

    A cross‐industry survey was conducted to assess the landscape of preclinical quantitative systems pharmacology (QSP) modeling within pharmaceutical companies. This article presents the survey results, which provide insights on the current state of preclinical QSP modeling in addition to future opportunities. Our results call attention to the need for an aligned definition and consistent terminology around QSP, yet highlight the broad applicability and benefits preclinical QSP modeling is currently delivering. PMID:29349875

  20. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    International Nuclear Information System (INIS)

    Saini, K. K.; Saini, Sanju

    2008-01-01

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  1. INNOVATIVE MODELS OF EDUCATION AND TRAINING OF SKILLED PERSONNEL FOR HIGH TECH INDUSTRIES IN UKRAINE

    Directory of Open Access Journals (Sweden)

    M.Shyshkina

    2013-03-01

    Full Text Available The problems of development of innovative learning environment of continuous education and training of skilled personnel for high-tech industry are described. Aspects of organization of ICT based learning environment of vocational and technical school on the basis of cloud computing and outsourcing are revealed. The three-stage conceptual model for perspective education and training of workers for high-tech industries is proposed. The model of cloud-based solution for design of learning environment for vocational education and training of skilled workers is introduced.

  2. Modeling of Thermochemical Behavior in an Industrial-Scale Rotary Hearth Furnace for Metallurgical Dust Recycling

    Science.gov (United States)

    Wu, Yu-Liang; Jiang, Ze-Yi; Zhang, Xin-Xin; Xue, Qing-Guo; Yu, Ai-Bing; Shen, Yan-Song

    2017-10-01

    Metallurgical dusts can be recycled through direct reduction in rotary hearth furnaces (RHFs) via addition into carbon-based composite pellets. While iron in the dust is recycled, several heavy and alkali metal elements harmful for blast furnace operation, including Zn, Pb, K, and Na, can also be separated and then recycled. However, there is a lack of understanding on thermochemical behavior related to direct reduction in an industrial-scale RHF, especially removal behavior of Zn, Pb, K, and Na, leading to technical issues in industrial practice. In this work, an integrated model of the direct reduction process in an industrial-scale RHF is described. The integrated model includes three mathematical submodels and one physical model, specifically, a three-dimensional (3-D) CFD model of gas flow and heat transfer in an RHF chamber, a one-dimensional (1-D) CFD model of direct reduction inside a pellet, an energy/mass equilibrium model, and a reduction physical experiment using a Si-Mo furnace. The model is validated by comparing the simulation results with measurements in terms of furnace temperature, furnace pressure, and pellet indexes. The model is then used for describing in-furnace phenomena and pellet behavior in terms of heat transfer, direct reduction, and removal of a range of heavy and alkali metal elements under industrial-scale RHF conditions. The results show that the furnace temperature in the preheating section should be kept at a higher level in an industrial-scale RHF compared with that in a pilot-scale RHF. The removal rates of heavy and alkali metal elements inside the composite pellet are all faster than iron metallization, specifically in the order of Pb, Zn, K, and Na.

  3. Italian industrial districts: A model of success or a weak productive system?

    Directory of Open Access Journals (Sweden)

    Daniele Schilirò

    2012-10-01

    Full Text Available The present contribution focuses on two issues. The first one concerns the characteristics of industrial districts and the increasing weight of these districts in the Italian system of production. The second issue is about the competitiveness of the Italian industrial districts, if they represent a model of success or rather a weak system of production. Thus, the transformation of the industrial districts is examined and the strengths and weaknesses are highlighted. One argument that comes out of this investigation is that industrial districts are strongly influenced by institutions, territory, and also by the social and cultural environment. The second argument regards the competitiveness of this Italian industrial development model, based on SMEs, which is founded on the specialization of productions, on innovation and internationalization. The paper argues that this model, which represents the ``Made in Italy'', is still a strong and dynamic system which has shown good performances and it represents a paradigm of lasting competitiveness, even if it is restrained by many external chronic constraints.

  4. CO_2 emission trends of China's primary aluminum industry: A scenario analysis using system dynamics model

    International Nuclear Information System (INIS)

    Li, Qiang; Zhang, Wenjuan; Li, Huiquan; He, Peng

    2017-01-01

    China announced its promise on CO_2 emission peak. When and what level of CO_2 emission peak China's primary aluminum industry will reach is in suspense. In this paper, a system dynamic model is established, with five subsystems of economy development, primary aluminum production, secondary aluminum production, CO_2 emission intensity and policies making involved. The model is applied to examine potential CO_2 emission trends of China's primary aluminum industry in next fifteen years with three scenarios of “no new policies”, “13th five-year plan” and “additional policies”. Simulation results imply that: merely relying on rapid expansion of domestic scarps recycling and reuse could not mitigate CO_2 emission continuously. Combination of energy-saving technology application and electrolytic technology innovation, as well as promoting hydropower utilization in primary aluminum industry are necessary for long term low-carbon development. From a global prospective, enhancing international cooperation on new primary aluminum capacity construction in other countries, especially with rich low-carbon energy, could bring about essential CO_2 emission for both China's and global primary aluminum industry. - Highlights: • A system dynamic model is established for future CO_2 emission trend of China's primary aluminum industry. • Three potential policy scenarios are simulated. • The impacts of potential policies implication on the CO_2 emission trend are discussed.

  5. Modeling the factors affecting unsafe behavior in the construction industry from safety supervisors' perspective.

    Science.gov (United States)

    Khosravi, Yahya; Asilian-Mahabadi, Hassan; Hajizadeh, Ebrahim; Hassanzadeh-Rangi, Narmin; Bastani, Hamid; Khavanin, Ali; Mortazavi, Seyed Bagher

    2014-01-01

    There can be little doubt that the construction is the most hazardous industry in the worldwide. This study was designed to modeling the factors affecting unsafe behavior from the perspective of safety supervisors. The qualitative research was conducted to extract a conceptual model. A structural model was then developed based on a questionnaire survey (n=266) by two stage Structural Equation Model (SEM) approach. An excellent confirmed 12-factors structure explained about 62% of variances unsafe behavior in the construction industry. A good fit structural model indicated that safety climate factors were positively correlated with safety individual factors (Pconstruction workers' engagement in safe or unsafe behavior. In order to improve construction safety performance, more focus on the workplace condition is required.

  6. Development of algorithm for depreciation costs allocation in dynamic input-output industrial enterprise model

    Directory of Open Access Journals (Sweden)

    Keller Alevtina

    2017-01-01

    Full Text Available The article considers the issue of allocation of depreciation costs in the dynamic inputoutput model of an industrial enterprise. Accounting the depreciation costs in such a model improves the policy of fixed assets management. It is particularly relevant to develop the algorithm for the allocation of depreciation costs in the construction of dynamic input-output model of an industrial enterprise, since such enterprises have a significant amount of fixed assets. Implementation of terms of the adequacy of such an algorithm itself allows: evaluating the appropriateness of investments in fixed assets, studying the final financial results of an industrial enterprise, depending on management decisions in the depreciation policy. It is necessary to note that the model in question for the enterprise is always degenerate. It is caused by the presence of zero rows in the matrix of capital expenditures by lines of structural elements unable to generate fixed assets (part of the service units, households, corporate consumers. The paper presents the algorithm for the allocation of depreciation costs for the model. This algorithm was developed by the authors and served as the basis for further development of the flowchart for subsequent implementation with use of software. The construction of such algorithm and its use for dynamic input-output models of industrial enterprises is actualized by international acceptance of the effectiveness of the use of input-output models for national and regional economic systems. This is what allows us to consider that the solutions discussed in the article are of interest to economists of various industrial enterprises.

  7. System dynamics model for environment - human systems interaction in the mining industry

    International Nuclear Information System (INIS)

    Pal, B.K.

    1994-01-01

    Use of advanced technology in the mining activities are polluting the natural environment, interfering with the normal life of the miners/residents. In this paper, health hazards due to underground workings and effect of environmental conditions on men are discussed. A composite system inter-relationship of the mining industries with the Government, society and environmental sectors is established. Allowing certain level of pollution, a system dynamics model is developed considering the parameters like more revenues from the mining industries, degradation of quality of life index - environmental index on long-term and short-term basis, new diseases due to pollution, social awareness, health care facilities, tax exemption etc. This model will help us to understand the optimisation of the parameters to establish the better interaction in the environment-human systems in the mining industries. 14 refs., 4 figs., 2 tabs

  8. Evaluation model for safety capacity of chemical industrial park based on acceptable regional risk

    Institute of Scientific and Technical Information of China (English)

    Guohua Chen; Shukun Wang; Xiaoqun Tan

    2015-01-01

    The paper defines the Safety Capacity of Chemical Industrial Park (SCCIP) from the perspective of acceptable regional risk. For the purpose of exploring the evaluation model for the SCCIP, a method based on quantitative risk assessment was adopted for evaluating transport risk and to confirm reasonable safety transport capacity of chemical industrial park, and then by combining with the safety storage capacity, a SCCIP evaluation model was put forward. The SCCIP was decided by the smaller one between the largest safety storage capacity and the maximum safety transport capacity, or else, the regional risk of the park will exceed the acceptable level. The developed method was applied to a chemical industrial park in Guangdong province to obtain the maximum safety transport capacity and the SCCIP. The results can be realized in the regional risk control of the park effectively.

  9. Negotiation model in gas industry; Modelos de negociacao na industria de gas

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2005-07-01

    It is presented two negotiation models (Bilateral and Poolco) that are being used by natural gas industry at the present time. The main differences are characterized between these models. Basically, these differences can be found in the nature of the transactions and in the way as they are coordinated by the gas market and also by the transport market. The Bilateral model is based on decentralized bilateral transactions, by other hand in the Poolco model the transactions are coordinated by just one entity. So, in this model all transactions are centralized.

  10. Teach it Yourself - Fast Modeling of Industrial Objects for 6D Pose Estimation

    DEFF Research Database (Denmark)

    Sølund, Thomas; Rajeeth Savarimuthu, Thiusius; Glent Buch, Anders

    2015-01-01

    In this paper, we present a vision system that allows a human to create new 3D models of novel industrial parts by placing the part in two different positions in the scene. The two shot modeling framework generates models with a precision that allows the model to be used for 6D pose estimation wi....... In addition, the models are applied in a pose estimation application, evaluated with 37 different scenes with 61 unique object poses. The pose estimation results show a mean translation error on 4.97 mm and a mean rotation error on 3.38 degrees....

  11. RATIONAL RECOVERY MODEL OF DEPOT PROCESSING EQUIPMENT AT THE INDUSTRIAL ENTERPRISE

    Directory of Open Access Journals (Sweden)

    M. I. Kapitsa

    2014-07-01

    Full Text Available Purpose. The problem of the maximum resources recovery of rolling stock repair depot of industrial enterprise with limited resources consumption, which are used in the system is today’s topical question.The main factors that affect the repair depot operation of industrial enterprise are reviewed. The most significant factors, affecting the quality of the repair depot, are emphasized for further study, specifically - the state of the major repair equipment of a sector. There is a need to minimize the impact of the unsatisfactory state of this factor. Methodology. The formed task of major equipment rational repairing in the mathematical sense is based on the solution of a vector optimization problem. In this case the target functions are the monetary funds spending and time expenditure for repairing. Findings. The mathematical model of optimal equipment maintainability of the repair department at the industrial enterprise was developed by the authors. On the example the choice model of optimal path for equipment repairing of enterprise repair department is described. Originality. As a result of the conducted research the repairing system of major equipment of industrial enterprise sectors was improved. As the mathematical model of rational system recovery of industrial enterprise repair depot we recommend apparatus of class problems of vector optimization. Practical value. Using the proposed model of major equipment repair system of the repair depot at the industrial enterprise will improve the quality of the department by increasing the efficiency of primary resources - time and monetary funds - which are spent by the sector in order to repair its techniques.

  12. Roadmap for Lean implementation in Indian automotive component manufacturing industry: comparative study of UNIDO Model and ISM Model

    Science.gov (United States)

    Jadhav, J. R.; Mantha, S. S.; Rane, S. B.

    2015-06-01

    The demands for automobiles increased drastically in last two and half decades in India. Many global automobile manufacturers and Tier-1 suppliers have already set up research, development and manufacturing facilities in India. The Indian automotive component industry started implementing Lean practices to fulfill the demand of these customers. United Nations Industrial Development Organization (UNIDO) has taken proactive approach in association with Automotive Component Manufacturers Association of India (ACMA) and the Government of India to assist Indian SMEs in various clusters since 1999 to make them globally competitive. The primary objectives of this research are to study the UNIDO-ACMA Model as well as ISM Model of Lean implementation and validate the ISM Model by comparing with UNIDO-ACMA Model. It also aims at presenting a roadmap for Lean implementation in Indian automotive component industry. This paper is based on secondary data which include the research articles, web articles, doctoral thesis, survey reports and books on automotive industry in the field of Lean, JIT and ISM. ISM Model for Lean practice bundles was developed by authors in consultation with Lean practitioners. The UNIDO-ACMA Model has six stages whereas ISM Model has eight phases for Lean implementation. The ISM-based Lean implementation model is validated through high degree of similarity with UNIDO-ACMA Model. The major contribution of this paper is the proposed ISM Model for sustainable Lean implementation. The ISM-based Lean implementation framework presents greater insight of implementation process at more microlevel as compared to UNIDO-ACMA Model.

  13. Decision Support Model for Selection Technologies in Processing of Palm Oil Industrial Liquid Waste

    Science.gov (United States)

    Ishak, Aulia; Ali, Amir Yazid bin

    2017-12-01

    The palm oil industry continues to grow from year to year. Processing of the palm oil industry into crude palm oil (CPO) and palm kernel oil (PKO). The ratio of the amount of oil produced by both products is 30% of the raw material. This means that 70% is palm oil waste. The amount of palm oil waste will increase in line with the development of the palm oil industry. The amount of waste generated by the palm oil industry if it is not handled properly and effectively will contribute significantly to environmental damage. Industrial activities ranging from raw materials to produce products will disrupt the lives of people around the factory. There are many alternative technologies available to process other industries, but problems that often occur are difficult to implement the most appropriate technology. The purpose of this research is to develop a database of waste processing technology, looking for qualitative and quantitative criteria to select technology and develop Decision Support System (DSS) that can help make decisions. The method used to achieve the objective of this research is to develop a questionnaire to identify waste processing technology and develop the questionnaire to find appropriate database technology. Methods of data analysis performed on the system by using Analytic Hierarchy Process (AHP) and to build the model by using the MySQL Software that can be used as a tool in the evaluation and selection of palm oil mill processing technology.

  14. Energy demand forecasting in Iranian metal industry using linear and nonlinear models based on evolutionary algorithms

    International Nuclear Information System (INIS)

    Piltan, Mehdi; Shiri, Hiva; Ghaderi, S.F.

    2012-01-01

    Highlights: ► Investigating different fitness functions for evolutionary algorithms in energy forecasting. ► Energy forecasting of Iranian metal industry by value added, energy prices, investment and employees. ► Using real-coded instead of binary-coded genetic algorithm decreases energy forecasting error. - Abstract: Developing energy-forecasting models is known as one of the most important steps in long-term planning. In order to achieve sustainable energy supply toward economic development and social welfare, it is required to apply precise forecasting model. Applying artificial intelligent models for estimation complex economic and social functions is growing up considerably in many researches recently. In this paper, energy consumption in industrial sector as one of the critical sectors in the consumption of energy has been investigated. Two linear and three nonlinear functions have been used in order to forecast and analyze energy in the Iranian metal industry, Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) are applied to attain parameters of the models. The Real-Coded Genetic Algorithm (RCGA) has been developed based on real numbers, which is introduced as a new approach in the field of energy forecasting. In the proposed model, electricity consumption has been considered as a function of different variables such as electricity tariff, manufacturing value added, prevailing fuel prices, the number of employees, the investment in equipment and consumption in the previous years. Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD) and Mean Absolute Percent Error (MAPE) are the four functions which have been used as the fitness function in the evolutionary algorithms. The results show that the logarithmic nonlinear model using PSO algorithm with 1.91 error percentage has the best answer. Furthermore, the prediction of electricity consumption in industrial sector of Turkey and also Turkish industrial sector

  15. Development of a noise prediction model based on advanced fuzzy approaches in typical industrial workrooms.

    Science.gov (United States)

    Aliabadi, Mohsen; Golmohammadi, Rostam; Khotanlou, Hassan; Mansoorizadeh, Muharram; Salarpour, Amir

    2014-01-01

    Noise prediction is considered to be the best method for evaluating cost-preventative noise controls in industrial workrooms. One of the most important issues is the development of accurate models for analysis of the complex relationships among acoustic features affecting noise level in workrooms. In this study, advanced fuzzy approaches were employed to develop relatively accurate models for predicting noise in noisy industrial workrooms. The data were collected from 60 industrial embroidery workrooms in the Khorasan Province, East of Iran. The main acoustic and embroidery process features that influence the noise were used to develop prediction models using MATLAB software. Multiple regression technique was also employed and its results were compared with those of fuzzy approaches. Prediction errors of all prediction models based on fuzzy approaches were within the acceptable level (lower than one dB). However, Neuro-fuzzy model (RMSE=0.53dB and R2=0.88) could slightly improve the accuracy of noise prediction compared with generate fuzzy model. Moreover, fuzzy approaches provided more accurate predictions than did regression technique. The developed models based on fuzzy approaches as useful prediction tools give professionals the opportunity to have an optimum decision about the effectiveness of acoustic treatment scenarios in embroidery workrooms.

  16. A Comparative Analysis of Point-of-View Modeling for Industrial and Technology Education Courses

    Science.gov (United States)

    Katsioloudis, Petros J.; Fantz, Todd D.; Jones, Millie

    2013-01-01

    Enrollment in technology education at the college level has been declining, so it is becoming essential for technology teacher educators to investigate ways to increase the enrollment in their programs. Technology teacher educators are exploring the extent to which distance-learning technologies such as video modeling can be used by industrial and…

  17. 76 FR 14346 - Airworthiness Directives; Diamond Aircraft Industries GmbH Model DA 42 Airplanes

    Science.gov (United States)

    2011-03-16

    ... Industries GmbH Model DA 42 Airplanes AGENCY: Federal Aviation Administration (FAA), Department of... been reportedly found on DA 42 Main Landing Gear (MLG) Damper-to-Trailing Arm joints during standard... condition for the specified products. The MCAI states: Cracks have been reportedly found on DA 42 Main...

  18. 76 FR 31457 - Airworthiness Directives; Diamond Aircraft Industries GmbH Model DA 42 Airplanes

    Science.gov (United States)

    2011-06-01

    ... Airworthiness Directives; Diamond Aircraft Industries GmbH Model DA 42 Airplanes AGENCY: Federal Aviation... reportedly found on DA 42 Main Landing Gear (MLG) Damper-to-Trailing Arm joints during standard maintenance... DA 42 Main Landing Gear (MLG) Damper-to-Trailing Arm joints during standard maintenance. Depending on...

  19. Disease cell models - their use in industry TEDD workshop in Sion on 27 March 2014.

    Science.gov (United States)

    Graf-Hausner, Ursula; Heinzelmann, Elsbeth

    2014-01-01

    On 27, March 2014, experts met at the first TEDD Workshop 2014, held at the HES-SO Valais/Wallis in Sion, to present innovative cell models for industrial applications. This was the first time that a TEDD event had been organized in French-speaking Switzerland and it offered local network partners an opportunity to showcase their research activities.

  20. Industrial process system assessment: bridging process engineering and life cycle assessment through multiscale modeling.

    Science.gov (United States)

    The Industrial Process System Assessment (IPSA) methodology is a multiple step allocation approach for connecting information from the production line level up to the facility level and vice versa using a multiscale model of process systems. The allocation procedure assigns inpu...

  1. Spatial Modeling of Industrial Windfall on Soils to Detect Woody Species with Potential for Bioremediation

    Science.gov (United States)

    S. Salazar; M. Mendoza; A. M. Tejeda

    2006-01-01

    A spatial model is presented to explain the concentration of heavy metals (Fe, Cu, Zn, Ni, Cr, Co and Pb), in the soils around the industrial complex near the Port of Veracruz, Mexico. Unexpected low concentration sites where then tested to detect woody plant species that may have the capability to hiperacumulate these contaminants, hence having a potential for...

  2. Mathematical Modelling to Predict Oxidative Behaviour of Conjugated Linoleic Acid in the Food Processing Industry

    Directory of Open Access Journals (Sweden)

    Aitziber Ojanguren

    2013-06-01

    Full Text Available Industrial processes that apply high temperatures in the presence of oxygen may compromise the stability of conjugated linoleic acid (CLA bioactive isomers. Statistical techniques are used in this study to model and predict, on a laboratory scale, the oxidative behaviour of oil with high CLA content, controlling the limiting factors of food processing. This modelling aims to estimate the impact of an industrial frying process (140 °C, 7 L/h air on the oxidation of CLA oil for use as frying oil instead of sunflower oil. A factorial design was constructed within a temperature (80–200 °C and air flow (7–20 L/h range. Oil stability index (Rancimat method was used as a measure of oxidation. Three-level full factorial design was used to obtain a quadratic model for CLA oil, enabling the oxidative behaviour to be predicted under predetermined process conditions (temperature and air flow. It is deduced that temperatures applied in food processes affect the oxidation of CLA to a greater extent than air flow. As a result, it is estimated that the oxidative stability of CLA oil is less resistant to industrial frying than sunflower oil. In conclusion, thanks to the mathematical model, a good choice of the appropriate industrial food process can be selected to avoid the oxidation of the bioactive isomers of CLA, ensuring its functionality in novel applications.

  3. Using Online Modelled Spatial Constraints for Pose Estimation in an Industrial Setting

    DEFF Research Database (Denmark)

    Meyer, Kenneth Korsgaard; Wolniakowski, Adam; Hagelskjær, Frederik

    2017-01-01

    We introduce a vision system that is able to on-line learn spatial constraints to improve pose estimation in terms of correct recognition as well as computational speed. By making use of a simulated industrial robot system performing various pick and place tasks, we show the effect of model...

  4. Automated analyses of model-driven artifacts : obtaining insights into industrial application of MDE

    NARCIS (Netherlands)

    Mengerink, J.G.M.; Serebrenik, A.; Schiffelers, R.R.H.; van den Brand, M.G.J.

    2017-01-01

    Over the past years, there has been an increase in the application of model driven engineering in industry. Similar to traditional software engineering, understanding how technologies are actually used in practice is essential for developing good tooling, and decision making processes.

  5. An Empirical Study of Kirkpatrick's Evaluation Model in the Hospitality Industry

    Science.gov (United States)

    Chang, Ya-Hui Elegance

    2010-01-01

    This study examined Kirkpatrick's training evaluation model (Kirkpatrick & Kirkpatrick, 2006) by assessing a sales training program conducted at an organization in the hospitality industry. The study assessed the employees' training outcomes of knowledge and skills, job performance, and the impact of the training upon the organization. By…

  6. A Comparative Analysis of Spatial Visualization Ability and Drafting Models for Industrial and Technology Education Students

    Science.gov (United States)

    Katsioloudis, Petros; Jovanovic, Vukica; Jones, Mildred

    2014-01-01

    The main purpose of this study was to determine significant positive effects among the use of three different types of drafting models, and to identify whether any differences exist towards promotion of spatial visualization ability for students in Industrial Technology and Technology Education courses. In particular, the study compared the use of…

  7. Digital Dividend Aware Business Models for the Creative Industries: Challenges and Opportunities in EU Markets

    Science.gov (United States)

    Cossiavelou, Vassiliki

    EU counties have a historically unique opportunity to enable their creative industries to promote the knowledge societies, applying new business models to their media content and networks markets, that are digital dividend (DD) aware. This new extra-media gatekeeping factor could shape new alliances and co operations among the member states and the global media markets, as well.

  8. Modeling cooking of chicken meat in industrial tunnel ovens with the Flory-Rehner theory

    NARCIS (Netherlands)

    Sman, van der R.G.M.

    2013-01-01

    In this paper we present a numerical model describing the heat and mass transport during the cooking of chicken meat in industrial tunnels. The mass transport is driven by gradients in the swelling pressure, which is described by the Flory-Rehner theory, which relates to the water holding capacity

  9. System Dynamics Model and Simulation of Employee Work-Family Conflict in the Construction Industry

    Science.gov (United States)

    Wu, Guangdong; Duan, Kaifeng; Zuo, Jian; Yang, Jianlin; Wen, Shiping

    2016-01-01

    The construction industry is a demanding work environment where employees’ work-family conflict is particularly prominent. This conflict has a significant impact on job and family satisfaction and performance of employees. In order to analyze the dynamic evolution of construction industry employee’s work-family conflict between work and family domains, this paper constructs a bi-directional dynamic model framework of work-family conflict by referring to the relevant literature. Consequently, a system dynamics model of employee’s work-family conflict in the construction industry is established, and a simulation is conducted. The simulation results indicate that construction industry employees experience work interference with family conflict (WIFC) levels which are significantly greater than the family interference with work conflict (FIWC) levels. This study also revealed that improving work flexibility and organizational support can have a positive impact on the satisfaction and performance of construction industry employees from a work and family perspective. Furthermore, improving family support can only significantly improve employee job satisfaction. PMID:27801857

  10. System Dynamics Model and Simulation of Employee Work-Family Conflict in the Construction Industry

    Directory of Open Access Journals (Sweden)

    Guangdong Wu

    2016-10-01

    Full Text Available The construction industry is a demanding work environment where employees’ work-family conflict is particularly prominent. This conflict has a significant impact on job and family satisfaction and performance of employees. In order to analyze the dynamic evolution of construction industry employee’s work-family conflict between work and family domains, this paper constructs a bi-directional dynamic model framework of work-family conflict by referring to the relevant literature. Consequently, a system dynamics model of employee’s work-family conflict in the construction industry is established, and a simulation is conducted. The simulation results indicate that construction industry employees experience work interference with family conflict (WIFC levels which are significantly greater than the family interference with work conflict (FIWC levels. This study also revealed that improving work flexibility and organizational support can have a positive impact on the satisfaction and performance of construction industry employees from a work and family perspective. Furthermore, improving family support can only significantly improve employee job satisfaction.

  11. System Dynamics Model and Simulation of Employee Work-Family Conflict in the Construction Industry.

    Science.gov (United States)

    Wu, Guangdong; Duan, Kaifeng; Zuo, Jian; Yang, Jianlin; Wen, Shiping

    2016-10-28

    The construction industry is a demanding work environment where employees' work-family conflict is particularly prominent. This conflict has a significant impact on job and family satisfaction and performance of employees. In order to analyze the dynamic evolution of construction industry employee's work-family conflict between work and family domains, this paper constructs a bi-directional dynamic model framework of work-family conflict by referring to the relevant literature. Consequently, a system dynamics model of employee's work-family conflict in the construction industry is established, and a simulation is conducted. The simulation results indicate that construction industry employees experience work interference with family conflict (WIFC) levels which are significantly greater than the family interference with work conflict (FIWC) levels. This study also revealed that improving work flexibility and organizational support can have a positive impact on the satisfaction and performance of construction industry employees from a work and family perspective. Furthermore, improving family support can only significantly improve employee job satisfaction.

  12. Modelling dynamics of atmosphere ventilation and industrial city’s air pollution analysis: New approach

    Science.gov (United States)

    Glushkov, A. V.; Khetselius, O. Yu; Agayar, E. V.; Buyadzhi, V. V.; Romanova, A. V.; Mansarliysky, V. F.

    2017-10-01

    We present a new effective approach to analysis and modelling the natural air ventilation in an atmosphere of the industrial city, which is based on the Arakawa-Schubert and Glushkov models, modified to calculate the current involvement of the ensemble of clouds, and advanced mathematical methods of modelling an unsteady turbulence in the urban area. For the first time the methods of a plane complex field and spectral expansion algorithms are applied to calculate the air circulation for the cloud layer arrays, penetrating into the territory of the industrial city. We have also taken into account for the mechanisms of transformation of the cloud system advection over the territory of the urban area. The results of test computing the air ventilation characteristics are presented for the Odessa city. All above cited methods and models together with the standard monitoring and management systems can be considered as a basis for comprehensive “Green City” construction technology.

  13. Profit Analysis and Supply Chain Planning Model for Closed-Loop Supply Chain in Fashion Industry

    Directory of Open Access Journals (Sweden)

    Jisoo Oh

    2014-12-01

    Full Text Available In recent decades, due to market growth and use of synthetic fiber, the fashion industry faces a rapid increase of CO2 emission throughout the production cycle and raises environmental issues in recovery processing. This study proposes a closed-loop supply chain (CLSC structure in fashion industry and develops its planning model as multi-objective mixed integer linear programming to find an optimal trade-off between CLSC profit and CO2 emission. The planning model is associated with the profit analysis of each member in CLSC to find the optimal price of products on CLSC network. The model determines optimal production, transportation, and inventory quantities on CLSC network. The proposed models are validated using numerical experiments and sensitivity analyses, and from the results some managerial insights are addressed.

  14. The Use of Modelling Methods for Product Configuration in Industrial Applications

    DEFF Research Database (Denmark)

    Hvam, Lars; Bonev, Martin; Haug, Anders

    2014-01-01

    reported. This article investigates the challenge on how industrial companies model their product CSs. The study is based on interviews of 18 industrial companies using CSs for configuring customer-tailored products. It investigates the relationship between using a structured modelling technique...... for modelling product families relative to less or no formal approaches. Furthermore, the study explores the specific characteristics of configuration set-ups with respect to size and complexity and their effect on product variant management and availability of product knowledge in organizations. The results......Developing product configuration system (CS) requires extracting and representing domain expert knowledge in appropriate product models. As acknowledged by researchers, this is often one of the most challenging activities in configuration projects, where only little empirical insights have yet been...

  15. Research and Demonstration of‘Double-chain’Eco-agricultural Model Standardization and Industrialization

    Directory of Open Access Journals (Sweden)

    ZHANG Jia-hong

    2015-04-01

    Full Text Available According to agricultural resource endowment of Jiangsu Province, this paper created kinds of double-chain eco-agricultural model and integrated supporting system based on 'waterfowl, marine lives, aquatic vegetable and paddy rice', 'special food and economic crops with livestock’and‘special food and economic crops with livestock and marine lives’, which were suitable for extension and application in Jiangsu Province. Besides, it set 12 provincial standards and established preliminary technical standard system of‘double-chain’eco-agricultural model. In addition, it explored that‘the leading agricultural enterprises (agricultural co-operatives or family farms+demonstration zones+farmer households’was adopted as operating mechanism of industrialization of eco-agricultural model, which pushed forward rapid development of standardization and industrialization of‘double-chain’eco-agricultural model.

  16. MODEL PENGEMBANGAN INDUSTRI KECIL KONVEKSI MELALUI APIK (ASOSIASI PENGRAJIN INDUSTRI KONVEKSI DI DESA TRITUNGGAL KECAMATAN BABAT KABUPATEN LAMONGAN JAWA TIMUR

    Directory of Open Access Journals (Sweden)

    Nurulia Azizah

    2014-10-01

    Full Text Available Abstrak ___________________________________________________________________ Tujuan penelitian ini adalah untuk mengetahui profil, kekuatan kelemahan, peluang, ancaman, dan strategi pengembangan industri kecil konveksi melalui APIK dalam peran dan keefektifan kinerjanya. Secara praktis adalah dapat menambah informasi dan bahan masukan bagi pengusaha konveksi dan pemerintah untuk mengembangkan usaha industri kecil konveksi di Desa Tritunggal Kecamatan Babat Kabupaten Lamongan.Populasi dalam penelitian ini berjumlah 43 pengusaha industri kecil konveksi. Variabel dalam penelitian industri kecil menengah ini adalah profil dan peran APIK, serta strategi pengembangan industri kecil konveksi. Metode pengumpulan data melalui observasi dan angket. Analisis data menggunakan adalah analisis deskriptif, uji  t-paired, dan analisis SWOT.Hasil penelitian (1 Profil pengusaha industri kecil konveksi sebagian besar mereka adalah masyarakat menengah kebawah yang tidak mempunyai modal dan aset (2 APIK berperan sebagai wadah bagi pengusaha untuk mengembangkan industri kecil konveksi. (3 APIK memberikan andil pada industri kecil konveksi dapat dilihat dari rata-rata nilai modal, tenaga kerja, produk, teknologi, dan pasar pada konveksi sesudah adanya APIK lebih tinggi daripada sebelumnya. (4 Kekuatan yaitu letaknya yang strategis. Kelemahan yaitu keterbatasan modal. Peluang yaitu masih luasnya daerah pemasaran yang tersedia serta dukungan dan perhatian dari pemerintah melalui APIK. Sedangkan Ancaman yaitu persaingan merebut pasar semakin ketat. (5 Pada analisis SWOT strategi yang digunakan adalah mencari alternative bahan baku, meningkatkan potensi SDM, meningkatkan promosi, dan meningkatkan kreativitas.Kesimpulan penelitian ini adalah APIK dapat membantu dalam perkembangan sentra industri kecil konveksi. Saran yang dapat diberikan adalah pemerintah, APIK dan pengusaha sebaiknya saling mendukung agar industri kecil konveksi dapat lebih mudah berkembang dalam era

  17. DEVELOPING INDUSTRIAL ROBOT SIMULATION MODEL TUR10-K USING “UNIVERSAL MECHANISM” SOFTWARE COMPLEX

    Directory of Open Access Journals (Sweden)

    Vadim Vladimirovich Chirkov

    2018-02-01

    Full Text Available Manipulation robots are complex spatial mechanical systems having five or six degrees of freedom, and sometimes more. For this reason, modeling manipulative robots movement, even in the kinematic formulation, is a complex mathematical task. If one moves from kinematic modeling of motion to dynamic modeling then there must be taken into account the inertial properties of the modeling object. In this case, analytical constructing of such a complex object mathematical model as a manipulation robot becomes practically impossible. Therefore, special computer-aided design systems, called CAE-systems, are used for modeling complex mechanical systems. The purpose of the paper is simulation model construction of a complex mechanical system, such as the industrial robot TUR10-K, to obtain its dynamic characteristics. Developing such models makes it possible to reduce the complexity of designing complex systems process and to obtain the necessary characteristics. Purpose. Developing the simulation model of the industrial robot TUR10-K and obtaining dynamic characteristics of the mechanism. Methodology: the article is used a computer simulation method. Results: There is obtained the simulation model of the robot and its dynamic characteristics. Practical implications: the results can be used in the mechanical systems design and various simulation models.

  18. New Models for Value Creation and Competitive Advantage in the Petroleum Industry

    OpenAIRE

    Stabell, Charles

    2001-01-01

    This research project has applied, tested and further developed a set of new models for the analysis of value creation and competitive advantage in the context of the global petroleum industry. The basic idea behind the project was that Porter’s value chain model (1985) for the analysis of firm-level competitive advantage was basically only applicable to manufacturing. Building on Thompson’s (1967) distinction between long-linked, intensive and mediating value creation technologies, we propos...

  19. Effect of Necessary Factors for Deploying E-Business Models on Business Performance in Automotive Industry

    OpenAIRE

    Mohsen Shafiei Nikabadi; Laya Olfat; Ahmad Jafarian; Hassan Alibabaei Khamene

    2013-01-01

    The main goal of this article is to survey effects of necessary factors for deploying e-business models on business performance in automotive industry. Today, application of information technology and internet in business is turned to a critical tool to gain competitive advantages in business. The impact of e-businesses is so that changed competitive approach between companies from traditional to modern models. In this study, first, necessary key factors of implementing e-business in automoti...

  20. Mathematical modeling of the integrated process of mercury bioremediation in the industrial bioreactor

    OpenAIRE

    Głuszcz, Paweł; Petera, Jerzy; Ledakowicz, Stanisław

    2010-01-01

    The mathematical model of the integrated process of mercury contaminated wastewater bioremediation in a fixed-bed industrial bioreactor is presented. An activated carbon packing in the bioreactor plays the role of an adsorbent for ionic mercury and at the same time of a carrier material for immobilization of mercury-reducing bacteria. The model includes three basic stages of the bioremediation process: mass transfer in the liquid phase, adsorption of mercury onto activated carbon and ionic me...

  1. An Empirical Based Proposal for Mass Customization Business Model in Footwear Industry

    OpenAIRE

    Pourabdollahian , Golboo; Corti , Donatella; Galbusera , Chiara; Silva , Julio ,

    2012-01-01

    Part 2: Design, Manufacturing and Production Management; International audience; This research aims at developing a business model for companies in the footwear industry interested in implementing Mass Customization with the goal of offering to the market products which perfectly match customers’ needs. The studies on mass customization are actually mostly focused on product development and production system aspects. This study extends the business modeling including also Supply Chain aspects...

  2. Analisa Interdependensi Antara Value Chain Dan Business Model Pada Industri Pengolahan Makanan

    OpenAIRE

    Kristiani, Paulina

    2015-01-01

    Latar belakang dari penelitian ini adalah dengan melihat kondisi lingkungan bisnis yang semakin ketat dan bersaing maka diperlukan model bisnis dan value chain untuk mampu bersaing dalam lingkungan industri. Tujuan penelitian ini adalah untuk melakukan analisa dan mengevaluasi pada value chain saat ini kemudian merancang pengembangan value chain berdasarkan komponen model bisnis. Teknik pengumpulan data adalah dengan menggunakan teknik wawancara dan data value chain makanan saat ini yang diam...

  3. Prospects and opportunities the implementation of effective management models at the enterprises of the Russian industry

    Directory of Open Access Journals (Sweden)

    E. S. Balashova

    2016-01-01

    Full Text Available In 2015 the recession of the Russian economy continues. Economic forecasts of 2016 made by influential rating agencies and the International Monetary Fund are analyzed. It is emphasized that the course of structural economic changes, selected by the Russian government actualizes the issue of increasing the competitiveness of Russian industry on a global level that, in turn, contributes to the implementation of effective management models at the enterprises and organization of internal processes. Positively recommended concept of lean production abroad became popular in Russia in early 2000’s. First successful example of its implementation – CJSC “Ford Motor Company” is considered. A large number of enterprises which represent state corporations “Rosteh” and “Rosatom”, industrial group “Basic element”, OJSC “Russian Railways” and which are individual major representatives of the Russian industrial sector are investigated. Different ways of development of lean production by Russian enterprises are analyzed and the most common way – independent interpretation and implementation is identified. Review of the tools of this management model used at the Russian enterprises is paid great attention. The prevalence of such tool as 5S (approximately 87,5%, because of its visible simplicity of understanding and ease of implementation is noted. The most important indicator – the economic effect of the introduction of the lean production concept at the enterprises of Russian industry in 2014 is analyzed. It is concluded that the economic result of the use of management model at Russian industrial enterprises is extremely low and varies at most about 1% of revenue. The obtained results demonstrate the prospects of further development of lean production and prove the possibility of achieving a high competitiveness of the domestic industrial sector of economy.

  4. Economic efficiency evaluation of merges and acquisitions in the sector of industry based on nonlinear model of synergistical growth of an industrial corporation value

    Directory of Open Access Journals (Sweden)

    Ivanov A.E.

    2017-01-01

    Full Text Available Numerous research works of the end of the 20th and of the beginning of the 21st century prove that the synergistic effect often declared as the main goal of merges and acquisitions is not generated in fact. This is due to imperfection of the available methodology of its economic evaluation that does not take into account a nonlinear nature of the pooled corporation development. The article suggests a methodology of economic efficiency evaluation of merges and acquisitions in the sector of industry based on identification of synergistically successful acquisition order parameters. These are synergistic effects that with minimal investments in their achievement lead to a disproportionate increase in the value of an industrial corporation. A mathematical model has been created simulating the influence of these investments on the value of an industrial corporation. The model allows one to increase the degree of the decisions validity in merges and acquisitions in the sector of industry.

  5. Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater.

    Science.gov (United States)

    Xu, Xi-Jun; Chen, Chuan; Wang, Ai-Jie; Ni, Bing-Jie; Guo, Wan-Qian; Yuan, Ye; Huang, Cong; Zhou, Xu; Wu, Dong-Hai; Lee, Duu-Jong; Ren, Nan-Qi

    2017-01-05

    A mathematical model of carbon, nitrogen and sulfur removal (C-N-S) from industrial wastewater was constructed considering the interactions of sulfate-reducing bacteria (SRB), sulfide-oxidizing bacteria (SOB), nitrate-reducing bacteria (NRB), facultative bacteria (FB), and methane producing archaea (MPA). For the kinetic network, the bioconversion of C-N by heterotrophic denitrifiers (NO 3 - →NO 2 - →N 2 ), and that of C-S by SRB (SO 4 2- →S 2- ) and SOB (S 2- →S 0 ) was proposed and calibrated based on batch experimental data. The model closely predicted the profiles of nitrate, nitrite, sulfate, sulfide, lactate, acetate, methane and oxygen under both anaerobic and micro-aerobic conditions. The best-fit kinetic parameters had small 95% confidence regions with mean values approximately at the center. The model was further validated using independent data sets generated under different operating conditions. This work was the first successful mathematical modeling of simultaneous C-N-S removal from industrial wastewater and more importantly, the proposed model was proven feasible to simulate other relevant processes, such as sulfate-reducing, sulfide-oxidizing process (SR-SO) and denitrifying sulfide removal (DSR) process. The model developed is expected to enhance our ability to predict the treatment of carbon-nitrogen-sulfur contaminated industrial wastewater. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. FINANCIAL FUTURE PROSPECT INVESTIGATION USING BANKRUPTCY FORECASTING MODELS IN HUNGARIAN MEAT PROCESSING INDUSTRY

    Directory of Open Access Journals (Sweden)

    Dalma Peto

    2015-07-01

    Full Text Available Our main research topic is the analysis of leading companies in the Hungarian meat processing industry in terms of liquidity criteria. We examine this scientific subject by application of financial indicators and several important bankruptcy forecasting models. In our thesis the emphasis is placed on the presentation and evaluation of business failure models. The topicality of the research subject is rooted in the economic crisis and recession, which made solvency a key issue. Maintaining the competitive position in the market and the ability to stay in competition depend on the capability to generate an appropriate level of net operative cash flow. The most important research questions are the following. Which financial methods can be used to predict and estimate the situation when a company is facing bankruptcy? Do bankruptcy forecasting models provide accurate forecasts and what conclusions can be drawn based on these results? In our study we present the actual economic situation and the main problems of the sector, select the sample companies, calculate and compare the applied financial ratios and the most relevant bankruptcy forecasting models. On the basis of annual reports concerning 2010-2013 interval we investigate the financial position of leading pork processing companies. We make a comprehensive and comparative analysis concerning capital structure, liquidity, and profitability; consequently identify risky processes and companies having high probability of insolvency. Finally, we demonstrate and evaluate the results of three traditional bankruptcy forecasting models (Altman, Springate, and Fulmer and four modern models (DA, LR, industrial DA and industrial LR.

  7. Simplified drive system models for power system transient studies in industrial plants

    DEFF Research Database (Denmark)

    Chen, Peiyuan; Sannino, Ambra

    2007-01-01

    In order to simulate industrial plants for different power system transient studies, simplified adjustable speed drive (ASD) models are needed. For power system transient studies such as assessing the voltage dip ride-through capability of ASDs, detailed representation of semiconductor valve...... switching can be avoided, thereby making possible to increase the time step of the simulation. In this paper, simplified ASD models are developed and compared with corresponding detailed models. The performance of the simplified models is assessed when increasing the simulation step as much as possible...

  8. The Construction of Intensive and Organized Agricultural Industrialization Model with Farmers as the Main Body

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The current agricultural conflicts of China are analyzed and the forms and drawbacks of current agricultural industrial structure are listed.The situations for intensifying the farmland with appropriate scale are analyzed from the aspects of policy,farmers,farms and modernization of agriculture.It is pointed out that the situations for the intensive use of land are becoming mature.Taking the single pig-breeding chain as an example,the agricultural industrialization model,which takes farmers as the main body,is expounded.Besides,its functions and significance in solving "the three agriculture problems" and facilitating the modernization of agriculture are discussed.

  9. The Barriers and Causes of Building Information Modelling Usage for Interior Design Industry

    Science.gov (United States)

    Hamid, A. B. Abd; Taib, M. Z. Mohd; Razak, A. H. N. Abdul; Embi, M. R.

    2017-12-01

    Building Information Modeling (BIM) has since developed alongside the improvement in the construction industry, purposely to simulate the design, management, construction and documentation. It facilitates and monitors the construction through visualization and emphasizes on various inputs to virtually design and construct a building using specific software. This study aims to identify and elaborate barriers of BIM usage in interior design industry in Malaysia. This study is initiated with a pilot survey utilising sixteen respondents that has been randomly chosen. Respondents are attached with interior design firms that are registered by Lembaga Arkitek Malaysia (LAM). The research findings are expected to provide significant information to encourage BIM adoption among interior design firms.

  10. Industrial application of model predictive control to a milk powder spray drying plant

    DEFF Research Database (Denmark)

    Petersen, Lars Norbert; Poulsen, Niels Kjølstad; Niemann, Hans Henrik

    2016-01-01

    In this paper, we present our first results from an industrial application of model predictive control (MPC) with real-time steady-state target optimization (RTO) for control of an industrial spray dryer that produces enriched milk powder. The MPC algorithm is based on a continuous-time transfer...... provides significantly better control of the residual moisture content, increases the throughput and decreases the energy consumption compared to conventional PI-control. The MPC operates the spray dryer closer to the residual moisture constraint of the powder product. Thus, the same amount of feed...

  11. EFFECTIVE FACTORS AND MODEL SYSTEMS IN THE INDUSTRIAL PRODUCTION OF NISIN

    Directory of Open Access Journals (Sweden)

    Ömer ŞİMŞEK

    2007-01-01

    Full Text Available Nisin is the first bacteriocin identified in Lactococcus lactis and belongs to type 1 lanthibiotic group. High nisin production in cultured media is related with the composition of fermentation medium, pH, produced nisin concentration and most importantly growth amount of cell. For industrial purpose, batch, fed-batch and continue fermentation systems were developed by regarding these factors. Maintaining efficient production of nisin having important potential at preservation of foods is important for both industrial production and using as starter culture. In this review the fermentation factors at nisin production were outlined and constructed model systems were compared.

  12. Business models and people management in the Indian IT industry from people to profits

    CERN Document Server

    Malik, Ashish

    2015-01-01

    The global impact of so-called 'offshoring', including of information technology (IT) and related services, continues to be a topic of great interest to academics, practitioners and policy makers. The Indian IT industry has sustained high levels of growth in revenues and employment since the late 1980s. Even following the global financial crisis and meltdown in 2008, the industry has reported growth, albeit at a lower rate. Furthermore, the high rates of technological change and increased competition has forced businesses and managers to be innovative and create new business models.

  13. Heat recovery with heat pumps in non-energy intensive industry: A detailed bottom-up model analysis in the French food and drink industry

    International Nuclear Information System (INIS)

    Seck, Gondia Sokhna; Guerassimoff, Gilles; Maïzi, Nadia

    2013-01-01

    Highlights: • First bottom-up energy model for NEI at 4-digit level of NACE for energy analysis. • Energy end-use modelling due to the unsuitability of end-product/process approach. • Analysis of heat recovery with HP on industrial processes up to 2020 in French F and D. • Energy consumption and emissions drop respectively by 10% compared to 2001 and 9% to 1990. • Results only achieved at heat temperature below 100 °C, concentrated in 1/3 of F and D sectors. - Abstract: Rising energy prices and environmental impacts inevitably encourage industrials to get involved in promoting energy efficiency and emissions reductions. To achieve this goal, we have developed the first detailed bottom-up energy model for Non-Energy Intensive industry (NEI) to study its global energy efficiency and the potential for CO 2 emissions reduction at a 4-digit level of NACE classification. The latter, which is generally neglected in energy analyses, is expected to play an important role in reducing industry energy intensity in the long term due to its economic and energy significance and relatively high growth rate. In this paper, the modelling of NEI is done by energy end-use owing to the unsuitability of the end-product/process approach used in the Energy Intensive industry modelling. As an example, we analysed the impact of heat recovery with heat pumps (HP) on industrial processes up to 2020 on energy savings and CO 2 emissions reductions in the French food and drink industry (F and D), the biggest NEI sector. The results showed HP could be an excellent and very promising energy recovery technology. For further detailed analysis, the depiction of HP investment cost payments is given per temperature range for each F and D subsector. This model constitutes a useful decision-making tool for assessing potential energy savings from investing in efficient technologies at the highest level of disaggregation, as well as a better subsectoral screening

  14. Our calibrated model has poor predictive value: An example from the petroleum industry

    International Nuclear Information System (INIS)

    Carter, J.N.; Ballester, P.J.; Tavassoli, Z.; King, P.R.

    2006-01-01

    It is often assumed that once a model has been calibrated to measurements then it will have some level of predictive capability, although this may be limited. If the model does not have predictive capability then the assumption is that the model needs to be improved in some way. Using an example from the petroleum industry, we show that cases can exit where calibrated models have limited predictive capability. This occurs even when there is no modelling error present. It is also shown that the introduction of a small modelling error can make it impossible to obtain any models with useful predictive capability. We have been unable to find ways of identifying which calibrated models will have some predictive capacity and those which will not

  15. Our calibrated model has poor predictive value: An example from the petroleum industry

    Energy Technology Data Exchange (ETDEWEB)

    Carter, J.N. [Department of Earth Science and Engineering, Imperial College, London (United Kingdom)]. E-mail: j.n.carter@ic.ac.uk; Ballester, P.J. [Department of Earth Science and Engineering, Imperial College, London (United Kingdom); Tavassoli, Z. [Department of Earth Science and Engineering, Imperial College, London (United Kingdom); King, P.R. [Department of Earth Science and Engineering, Imperial College, London (United Kingdom)

    2006-10-15

    It is often assumed that once a model has been calibrated to measurements then it will have some level of predictive capability, although this may be limited. If the model does not have predictive capability then the assumption is that the model needs to be improved in some way. Using an example from the petroleum industry, we show that cases can exit where calibrated models have limited predictive capability. This occurs even when there is no modelling error present. It is also shown that the introduction of a small modelling error can make it impossible to obtain any models with useful predictive capability. We have been unable to find ways of identifying which calibrated models will have some predictive capacity and those which will not.

  16. A proposed model for assessing service quality in small machining and industrial maintenance companies

    Directory of Open Access Journals (Sweden)

    Morvam dos Santos Netto

    2014-11-01

    Full Text Available Machining and industrial maintenance services include repair (corrective maintenance of equipments, activities involving the assembly-disassembly of equipments, fault diagnosis, machining operations, forming operations, welding processes, assembly and test of equipments. This article proposes a model for assessing the quality of services provided by small machining and industrial maintenance companies, since there is a gap in the literature regarding this issue and because the importance of small service companies in socio-economic development of the country. The model is an adaptation of the SERVQUAL instrument and the criteria determining the quality of services are designed according to the service cycle of a typical small machining and industrial maintenance company. In this sense, the Moments of Truth have been considered in the preparation of two separate questionnaires. The first questionnaire contains 24 statements that reflect the expectations of customers, and the second one contains 24 statements that measure perceptions of service performance. An additional item was included in each questionnaire to assess, respectively, the overall expectation about the services and the overall company performance. Therefore, it is a model that considers the interfaces of the client/supplier relationship, the peculiarities of the machining and industrial maintenance service sector and the company size.

  17. A Dynamic Model of the Tragedy of the Commons in Marketing-Intensive Industries

    Directory of Open Access Journals (Sweden)

    Dohoon Kim

    2014-01-01

    Full Text Available This study provides a dynamic model and analyzes its process that may plunge the business ecosystem into ToC (the Tragedy of the Commons. When developing the model, we have in mind some industries where the marketing competition to secure a large installed base is intense. The social commerce industry is a representative example of this type of industries, but the scope of this study is not limited to the industry. We first introduce a previous study focusing on the static Nash equilibrium, and then present an extended version of the basic model in a dynamic perspective. According to our analyses on the dynamic equilibria together with their stability, there may be a unique interior equilibrium, but it is highly likely unstable. In addition, possible (near boundary equilibria are also unstable for a wide range of parameter values. We also conduct some numerical experiments and discover cycles as solutions to some particular instances. Since those cycles contain the ToC traps, a policy measure or regulation may need to be employed. Our approach and results will help to figure out a clue to escape from the ToC trap, thereby shedding new light on the sustainable growth of the business ecosystem, which is prone to excessive marketing competition.

  18. Industrial natural gas consumption in the United States: an empirical model for evaluating future trends

    International Nuclear Information System (INIS)

    Huntington, H.G.

    2007-01-01

    This study develops a statistical model of industrial US natural gas consumption based upon historical data for the 1958-2003 period. The model specifically addresses interfuel substitution possibilities and changes in the industrial economic base. Using a relatively simple approach, the framework can be simulated repeatedly with little effort over a range of different conditions. It may also provide a valuable input into larger modeling exercises where an organization wants to determine long-run natural gas prices based upon supply and demand conditions. Projections based upon this demand framework indicate that industrial natural gas consumption may grow more slowly over the next 20 yr than being projected by the U.S. Energy Information Administration (EIA). This conclusion is based upon the assumption that natural gas prices will follow oil prices, as they have done over recent decades. If natural gas prices should lag well below oil prices, as envisioned by the latest EIA outlook, industrial natural gas consumption should rapidly expand well beyond the levels being projected by EIA. (author)

  19. French gas industry in transition: breach in the public service model

    International Nuclear Information System (INIS)

    Finon, D.

    2001-08-01

    France is generally viewed as the European country that most vigorously resists the pressure to liberalize its national gas markets. The moderate reform which has resulted from the transcription of the European gas directive was voted in 2002 after much delay. The main reason is the robustness of the French public service-model which has shaped the gas industry organisation in the same way as most of the network industries. To explain the institutional stability of the French gas industry, this document analyses its institutional trajectory shaped by the public service model and its strong institutional path dependency, marked by the resistance to change. The central hypothesis of the analysis is that, as long as this model demonstrates economic and social efficiency in the development of gas supply in relation to public services obligation and in the control of the import dependence risk in the gas sector, no reform can be brought about by endogenous factors. The analysis of the French gas industry transition consists of four sections. After a survey of its historical development, the author presents its organisation and regulation under the public service model and its performances in terms of social and economic efficiency. In the third section, the minimalist reform for transcribing the European Directive in the French law is presented, in order to identify its potential effects in terms of competition development and public service erosion. Finally, in the fourth section, the industrial policy option to preserve the existence of a French mono-energy company and its consequences in terms of strategic adaptation are discussed. (A.L.B.)

  20. Rethinking the contractual context for Building Information Modelling (BIM in the Australian built environment industry

    Directory of Open Access Journals (Sweden)

    Ilsa Kuiper

    2013-12-01

    Full Text Available Building Information Modelling (BIM can be defined as a process of generating and managing information of a building or infrastructure during its life cycle. Whilst the 3D visualisation or dimensional functions of BIM are not necessarily new, it is the usage and integration of this information related to project delivery, management and performance analysis that are challenging current construction industry practices.  Industry has called for the development of more collaborative and integrated contractual arrangements to facilitate the use of BIM. Such recommendations appeal to the ideal use of BIM, but also provide a potential opportunity to seek improvement within the construction industry. This paper proposes a procurement approach to BIM to establish the applicable contractual context to address the potential legal risks and commercial considerations, relative to current practices in Australia. It als ooutlines why BIM, with other enabling technologies, will drive the evolution of contract delivery methodologies.

  1. Geographical Detector Model for Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia, China

    Directory of Open Access Journals (Sweden)

    Rina Wu

    2016-02-01

    Full Text Available Studying the influencing factors of carbon dioxide emissions is not only practically but also theoretically crucial for establishing regional carbon-reduction policies, developing low-carbon economy and solving the climate problems. Therefore, we used a geographical detector model which is consists of four parts, i.e., risk detector, factor detector, ecological detector and interaction detector to analyze the effect of these social economic factors, i.e., GDP, industrial structure, urbanization rate, economic growth rate, population and road density on the increase of energy consumption carbon dioxide emissions in industrial sector in Inner Mongolia northeast of China. Thus, combining with the result of four detectors, we found that GDP and population more influence than economic growth rate, industrial structure, urbanization rate and road density. The interactive effect of any two influencing factors enhances the increase of the carbon dioxide emissions. The findings of this research have significant policy implications for regions like Inner Mongolia.

  2. FORMATION OF THE HUMAN CAPITAL IN MODEL OF INTEGRATION OF HIGH SCHOOL SCIENCE IN INDUSTRY

    Directory of Open Access Journals (Sweden)

    Sergey N. Mityakov

    2013-01-01

    Full Text Available Analyzed the problems of reproduction of human resources in the scientific and educational cooperation and collaboration of university research with industry. Proposed a model integration high school science to industry of the region, including the internal and external levels. On the internal level, proposed a scheme of transfer technology in a technical university, where the formation of human capital is produced in two related areas: training of competitive labor market specialists with higher education, as well as consolidation in the universities of highly qualified personnel. On the external level, proposed creation of an integrated research and education production cluster, which brings together the personnel and technological capabilities of the industrial region.

  3. Industrial-Strength Model-Based Testing - State of the Art and Current Challenges

    Directory of Open Access Journals (Sweden)

    Jan Peleska

    2013-03-01

    Full Text Available As of today, model-based testing (MBT is considered as leading-edge technology in industry. We sketch the different MBT variants that - according to our experience - are currently applied in practice, with special emphasis on the avionic, railway and automotive domains. The key factors for successful industrial-scale application of MBT are described, both from a scientific and a managerial point of view. With respect to the former view, we describe the techniques for automated test case, test data and test procedure generation for concurrent reactive real-time systems which are considered as the most important enablers for MBT in practice. With respect to the latter view, our experience with introducing MBT approaches in testing teams are sketched. Finally, the most challenging open scientific problems whose solutions are bound to improve the acceptance and effectiveness of MBT in industry are discussed.

  4. Efektivitas Model Prakarya dan Kewirausahaan Berbasis Ekonomi Kreatif Berdimensi Industri Keunggulan Lokal terhadap Keinovatifan Siswa

    Directory of Open Access Journals (Sweden)

    Sukardi Sukardi

    2017-06-01

    Full Text Available Abstrak: Penelitian ini bertujuan untuk mengetahui keefektifan model pendidikan Prakarya dan Kewirausahaan berbasis ekonomi kreatif berdimensi industri keunggulan lokal terhadap keinovatifan siswa SMA dalam menghasilkan produk/jasa. Penelitian berupa penelitian dan pengembangan versi Borg dan Gall yang dipadukan dengan prinsip desain konstruktivistik. Kajian dilakukan melalui tahapan uji produk awal melalui uji terbatas yang disertai revisi; uji produk akhir melalui quasi eksperimen; dan desiminasi dan implementasi. Data dikumpulkan melalui tes, proyek, dan kuesioner, sedang analisis data dilakukan lewat uji korelasi dan t-tes. Hasil penelitian menunjukkan: (1 hasil uji produk awal menunjukkan bahwa model yang dihasilkan sangat baik dan layak diuji lebih lanjut; (2 hasil uji produk akhir menunjukkan model yang dihasilkan efektif ditinjau dari keinovatifan siswa dalam menghasilkan produk ekonomi kreatif berdimensi keunggulan lokal; (3 guru dan siswa memberikan respon yang sangat baik terhadap model yang dihasilkan dilihat dari aspek relevance, reflection, interaction, tutor support, peer support, dan interpretation; (4 model akhir yang dihasilkan memuat tiga komponen utama, yaitu tujuan, prosedur, dan penilaian pembelajaran. Kata Kunci: efektivitas model, prakarya dan kewirausahaan, keinovatifan THE EFFECTIVENESS OF CRAFTSMANSHIP EDUCATIONAL MODEL AND CREATIVE ECONOMY-BASED ENTREPRENEURSHIP WITH LOCAL ADVANTAGE INDUSTRY TO STUDENTS’ INNOVATION Abstract: The purpose of this study is to figure out the effectiveness of craftsmanship educational model and creative economy-based entrepreneurship with local advantage industry to the level of high school students’ innovation in providing products / services. This study uses a model of research and development developed by Borg and Gall combined with constructivist design principles. The second phase involves two steps: (1 the initial product test through limited testing with revisions; (2 the final

  5. A Hybrid Model to Evaluate the Effectiveness of Web-based Marketing in Iran's Airline Industry

    Directory of Open Access Journals (Sweden)

    saeed safari

    2016-07-01

    Full Text Available The main purpose of this study was to propose a model for assessing the effectiveness of web-based marketing in Iran's airline industry. Thence in the first step after identifying the components of the model on the basis of literature review and opinions of experts in the field of marketing and sales related to airline industry, the final components of the model were extracted .In the second step, the Dematel method has been used to determine the existing relations between criteria. In the following, we utilized the ANP to determine the weight of each criterion with regard to the existing dependency and feedback between criteria as the third step. Finally in the last step of this research three reputable Iranian Companies in the airline industry were ranked by the use of VICTOR method. The results obtained by Dematel method indicated the internal and external communications between criteria of the assessing effectiveness of web-based marketing model. Meanwhile, the results of ANP suggested that “Reliability” was in the first place in terms of weight and importance among all criteria of the model. Result of VICOR showed that Mahan Company had the minimum distance to the ideal level.

  6. The Business Model is an Effective Tool of Crisis Management at Industrial Enterprise

    Directory of Open Access Journals (Sweden)

    Artur D. Bobryshev

    2017-01-01

    Full Text Available Purpose: justification of expediency of application of the concept of business simulation for effective prevention and mitigation of consequences of crisis of the industrial enterprise and for ensuring his sustainable development in the conditions of stagnation of branch. Methods: during the research methods of the analysis of a financial condition of the enterprises, the structural analysis and business simulation are used. Actual data about work of the industrial enterprises are attracted from official statistical sources and from materials of long-term consulting practice of authors. Results: stagnation of the domestic industry and lack of effective industrial policy force the enterprises having growth potential to conduct independent search of ways of recovery from the crisis and increase in the stability. The modern economic thought suggests to use the "theory of firm" which has confirmed the solvency for the solution of these tasks. The research has shown that and subsequently to eliminate with one of tools of this theory capable to weaken considerably the factors causing crisis, to provide effective development of the enterprise, the concept of business simulation is. Conclusions and Relevance: results of a research prove that for prevention of crisis of the industrial enterprise, overcoming his consequences and creation of conditions of his sustainable development, not only the package of measures for financial improvement or restructuring, but in general modification of a business model of the enterprise as the decision directed to elimination of all range of factors of insolvency of business is necessary. 

  7. A new economic model for resource industries-implications for universities

    International Nuclear Information System (INIS)

    Romig, P.R.

    1993-01-01

    The upheaval in the US petroleum industry has had repercussions in the university community. Geoscience enrollments have plummeted, financial support has declined, and there are rumors that some programs have reduced mathematical rigor to maintain enrollment. While the adverse affects have been widespread, there is disagreement about implications and expectations for the future. Some argue that emphasis on short-term profitability produces ill-conceived, precipitous reactions which perpetuate the turmoil. Others respond that the resource and environmental needs of a burgeoning global population will ensure long-term growth. Both arguments miss the point. The fundamental economic structure of the industry is changing from revenue-driven to marginal-return. In marginal-return industries, investments depend on quantitative assessments of risk and return, and the use of interdisciplinary teams is the norm. University programs must educate students in engineering design and structured decision-making processes, develop integrated numeric models and create infrastructures that support multidisciplinary collaboration. Educational programs must begin teaching principles of engineering design and structured decision-making, with increased emphasis on outreach to the experienced employee. Meeting those needs will require closer collaboration between industry and the universities. Universities that are successful will reap a fringe benefit; their graduate will be better-qualified to be leaders in the environmentally geoscience field, which one day may be bigger than the oil industry

  8. A Sustainable Industry-Environment Model for the Identification of Urban Environmental Risk to Confront Air Pollution in Beijing, China

    OpenAIRE

    Guilin Gao; Xueting Zeng; Chunjiang An; Lei Yu

    2018-01-01

    In this study, an optimized industry-environment model is proposed for identifying environmental risk under uncertainties. The strategy associated with an emission-permit trading mechanism has been introduced into the industrial-environment regulation (model) for remitting the pressures of frequent/severe haze events in Beijing City. A dual stochastic mixed fuzzy risk analysis method with Laplace’s criterion (DSFRL) can be embedded into industry-environment issues with a trading emission-perm...

  9. A SUSTAINABLE SUPPLY CHAIN MODEL OF RELATIONSHIP BETWEEN WOOD SUPPLIER AND FURNITURE INDUSTRY IN INDONESIA

    Directory of Open Access Journals (Sweden)

    Muh. Hisjam Adi Djoko Guritno and Shalihuddin Djalal Tandjung

    2012-06-01

    between wood suppliers and furniture industry is studied in this paper. A sustainable supply chain management (s-SCM model is proposed as an approach for solutions for the problems. The approach is chosen due to the characteristics of the problems that related to economic, social, and environmental problems. This aim of this paper is to determine how much supply teak wood must be provided by PP to satisfy furniture industry demand, how much production capacity that must be increased and how large forest area that must be planted in order to achieve environmental and social goals without sacrificing economical goals much. Goal programming (GP is chosen for solving the problems, because the goals are to maximize the total benefit,minimize the total loss and anticipate the conflicts between goals. Numerical trial based on observation in teak wooden furniture industry in Central Java was used to illustrate our findings. Using pareto efficient principle, the model can satisfy all goals that need to be achieved. Numerical results can be used by decision makers in teak wood industry to analyze the trade-off among several set of alternative solutions.

  10. The Formation of Digital Piracy Management Business Models in the Music Records Industry

    Directory of Open Access Journals (Sweden)

    Edverdas Vaclovas Bartkus

    2015-02-01

    Full Text Available Over the past two decades due to the rapid expansion of the Internet and content products (music, movies, books and software digital distribution, the number of users copying and distributing these products without the legal consent of their authors is increasing - a phenomenon known as digital piracy. This poses new challenges to the creative content industry seeking to protect itself against the loss of income and copyright infringement.  This problem is particularly relevant to the recorded music industry, as it has the large scale of digital piracy related to very convenient reproduction and distribution of illegal music records.  The widespread practice of record use in the digital space is not favorable to traditional business models based on the distribution of music in physical format. An increasing variety of digital piracy forms and decreasing technical limitations at the same time create new opportunities to manage digital piracy through the use of new technical, legal or economic decisions. This creates need to discuss the relevance and theoretical aspects of digital piracy management in the recorded music industry, and to analyze and compare most widespread digital piracy management business models of in the recorded music industry.

  11. Development of an Assessment Model for Sustainable Supply Chain Management in Batik Industry

    Science.gov (United States)

    Mubiena, G. F.; Ma’ruf, A.

    2018-03-01

    This research proposes a dynamic assessment model for sustainable supply chain management in batik industry. The proposed model identifies the dynamic relationship between economic aspect, environment aspect and social aspect. The economic aspect refers to the supply chain operation reference model. The environment aspect uses carbon emissions and liquid waste as the attribute assessment, while the social aspect focus on employee’s welfare. Lean manufacturing concept was implemented as an alternative approach to sustainability. The simulation result shows that the average of sustainability score for 5 years increased from 65,3% to 70%. Future experiments will be conducted on design improvements to reach the company target on sustainability score.

  12. CASE ANALYSIS OF INNOVATION IN THE PACKAGING INDUSTRY USING THE CYCLIC INNOVATION MODEL

    OpenAIRE

    NICHOLAS FORD; PAUL TROTT; CHRIS SIMMS; DAP HARTMANN

    2014-01-01

    This paper builds upon Berkhout et al.’s (2010) cyclic innovation model (CIM). This model was shown to provide an effective framework for understanding and managing the innovation process and to address many of the shortcomings of previous models. Building on that article we have applied CIM to an in-depth case study featuring a formable paperboard technology within the packaging industry. Using data gathered from 28 interviews conducted over a three year period, CIM, for the first time, is a...

  13. Milestones of mathematical model for business process management related to cost estimate documentation in petroleum industry

    Science.gov (United States)

    Khamidullin, R. I.

    2018-05-01

    The paper is devoted to milestones of the optimal mathematical model for a business process related to cost estimate documentation compiled during construction and reconstruction of oil and gas facilities. It describes the study and analysis of fundamental issues in petroleum industry, which are caused by economic instability and deterioration of a business strategy. Business process management is presented as business process modeling aimed at the improvement of the studied business process, namely main criteria of optimization and recommendations for the improvement of the above-mentioned business model.

  14. Design logistics performance measurement model of automotive component industry for srengthening competitiveness of dealing AEC 2015

    Science.gov (United States)

    Amran, T. G.; Janitra Yose, Mindy

    2018-03-01

    As the free trade Asean Economic Community (AEC) causes the tougher competition, it is important that Indonesia’s automotive industry have high competitiveness as well. A model of logistics performance measurement was designed as an evaluation tool for automotive component companies to improve their logistics performance in order to compete in AEC. The design of logistics performance measurement model was based on the Logistics Scorecard perspectives, divided into two stages: identifying the logistics business strategy to get the KPI and arranging the model. 23 KPI was obtained. The measurement result can be taken into consideration of determining policies to improve the performance logistics competitiveness.

  15. A Resource Service Model in the Industrial IoT System Based on Transparent Computing.

    Science.gov (United States)

    Li, Weimin; Wang, Bin; Sheng, Jinfang; Dong, Ke; Li, Zitong; Hu, Yixiang

    2018-03-26

    The Internet of Things (IoT) has received a lot of attention, especially in industrial scenarios. One of the typical applications is the intelligent mine, which actually constructs the Six-Hedge underground systems with IoT platforms. Based on a case study of the Six Systems in the underground metal mine, this paper summarizes the main challenges of industrial IoT from the aspects of heterogeneity in devices and resources, security, reliability, deployment and maintenance costs. Then, a novel resource service model for the industrial IoT applications based on Transparent Computing (TC) is presented, which supports centralized management of all resources including operating system (OS), programs and data on the server-side for the IoT devices, thus offering an effective, reliable, secure and cross-OS IoT service and reducing the costs of IoT system deployment and maintenance. The model has five layers: sensing layer, aggregation layer, network layer, service and storage layer and interface and management layer. We also present a detailed analysis on the system architecture and key technologies of the model. Finally, the efficiency of the model is shown by an experiment prototype system.

  16. Interpretive Structural Model of Key Performance Indicators for Sustainable Maintenance Evaluatian in Rubber Industry

    Science.gov (United States)

    Amrina, E.; Yulianto, A.

    2018-03-01

    Sustainable maintenance is a new challenge for manufacturing companies to realize sustainable development. In this paper, an interpretive structural model is developed to evaluate sustainable maintenance in the rubber industry. The initial key performance indicators (KPIs) is identified and derived from literature and then validated by academic and industry experts. As a result, three factors of economic, social, and environmental dividing into a total of thirteen indicators are proposed as the KPIs for sustainable maintenance evaluation in rubber industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs consisting of three levels. The results show the economic factor is regarded as the basic factor, the social factor as the intermediate factor, while the environmental factor indicated to be the leading factor. Two indicators of social factor i.e. labor relationship, and training and education have both high driver and dependence power, thus categorized as the unstable indicators which need further attention. All the indicators of environmental factor and one indicator of social factor are indicated as the most influencing indicator. The interpretive structural model hoped can aid the rubber companies in evaluating sustainable maintenance performance.

  17. Save production: a bottom-up energy model for Dutch industry and agriculture

    International Nuclear Information System (INIS)

    Daniels, B.W.; Dril, A.W.N. van

    2007-01-01

    A new version of the model Save production simulates the development of energy use in the Dutch industry and agriculture, including combined heat and power generation. The model disaggregates national energy consumption into fuel types, industrial sectors, energy functions and energy technologies. Simulation is based on microeconomic investment behavior. Examples of model application show results on the penetration of combined heat and power in relation to policy instruments such as CO 2 prices, electricity price support and investment subsidies. Policies that discriminate on CO 2 emissions result in a slightly more efficient heat and power generation. Tailored to the Dutch situation, Save production is well equipped to generate outlooks for the Dutch industrial and agricultural energy use, and for analyzing the role of policies in detail. Its main strength lies in the middle term simulation of decision-making on energy saving technologies and analysis of policy effects. Specific precautions are required when the model is used for analysis on the longer-term, for simulating extreme policies or for the analysis of extremely fluctuating energy prices. (author)

  18. The Cross-Roads to Digital: Newspaper Models and the Change to an Industry

    Directory of Open Access Journals (Sweden)

    Elizabeth COSGROVE

    2014-12-01

    Full Text Available The slow growth in online marketing revenue for newspapers and the industry’s development of online models has not been enough to stop the industry’s pending demise. This problem has arisen from the increased access to free and more recent content on the internet, supplying the consumers with their demand for news. Due to the abundant information available on the internet, consumers are used to having the information they want almost instantly. Newspapers are only one of many suppliers for this demand. The industry’s focus centres on whether they can they keep up with the rapid pace of demand for information and maintain a profitable organization. This paper first analyzes the current research trends, and the different industry business models. The paper then identifies the key attributes of the industry business models. The paper finally validates that the identified attributes can be used to predict the potential success of the newly introduced business models in the industry.

  19. A proposed centralised distribution model for the South African automotive component industry

    Directory of Open Access Journals (Sweden)

    Micheline J. Naude

    2009-12-01

    Full Text Available Purpose: This article explores the possibility of developing a distribution model, similar to the model developed and implemented by the South African pharmaceutical industry, which could be implemented by automotive component manufacturers for supply to independent retailers. Problem Investigated: The South African automotive components distribution chain is extensive with a number of players of varying sizes, from the larger spares distribution groups to a number of independent retailers. Distributing to the smaller independent retailers is costly for the automotive component manufacturers. Methodology: This study is based on a preliminary study of an explorative nature. Interviews were conducted with a senior staff member from a leading automotive component manufacturer in KwaZulu Natal and nine participants at a senior management level at five of their main customers (aftermarket retailers. Findings: The findings from the empirical study suggest that the aftermarket component industry is mature with the role players well established. The distribution chain to the independent retailer is expensive in terms of transaction and distribution costs for the automotive component manufacturer. A proposed centralised distribution model for supply to independent retailers has been developed which should reduce distribution costs for the automotive component manufacturer in terms of (1 the lowest possible freight rate; (2 timely and controlled delivery; and (3 reduced congestion at the customer's receiving dock. Originality: This research is original in that it explores the possibility of implementing a centralised distribution model for independent retailers in the automotive component industry. Furthermore, there is a dearth of published research on the South African automotive component industry particularly addressing distribution issues. Conclusion: The distribution model as suggested is a practical one and should deliver added value to automotive

  20. Projects Delay Factors of Saudi Arabia Construction Industry Using PLS-SEM Path Modelling Approach

    Directory of Open Access Journals (Sweden)

    Abdul Rahman Ismail

    2016-01-01

    Full Text Available This paper presents the development of PLS-SEM Path Model of delay factors of Saudi Arabia construction industry focussing on Mecca City. The model was developed and assessed using SmartPLS v3.0 software and it consists of 37 factors/manifests in 7 groups/independent variables and one dependent variable which is delay of the construction projects. The model was rigorously assessed at measurement and structural components and the outcomes found that the model has achieved the required threshold values. At structural level of the model, among the seven groups, the client and consultant group has the highest impact on construction delay with path coefficient β-value of 0.452 and the project management and contract administration group is having the least impact to the construction delay with β-value of 0.016. The overall model has moderate explaining power ability with R2 value of 0.197 for Saudi Arabia construction industry representation. This model will able to assist practitioners in Mecca city to pay more attention in risk analysis for potential construction delay.

  1. Cyanide removal from industrial wastewater by cross-flow nanofiltration: transport modeling and economic evaluation.

    Science.gov (United States)

    Pal, Parimal; Bhakta, Pamela; Kumar, Ramesh

    2014-08-01

    A modeling and simulation study, along with an economic analysis, was carried out for the separation of cyanide from industrial wastewater using a flat sheet cross-flow nanofiltration membrane module. With the addition of a pre-microfiltration step, nanofiltration was carried out using real coke wastewater under different operating conditions. Under the optimum operating pressure of 13 bars and a pH of 10.0, a rate of more than 95% separation of cyanide was achieved. That model predictions agreed very well with the experimental findings, as is evident in the Willmott d-index value (> 0.95) and relative error (economic analysis was also done, considering the capacity of a running coking plant. The findings are likely to be very useful in the scale-up and design of industrial plants for the treatment of cyanide-bearing wastewater.

  2. Intrafirm planning and mathematical modeling of owner's equity in industrial enterprises

    Science.gov (United States)

    Ponomareva, S. V.; Zheleznova, I. V.

    2018-05-01

    The article aims to review the different approaches to intrafirm planning of owner's equity in industrial enterprises. Since charter capital, additional capital and reserve capital do not change in the process of enterprise activity, the main interest lies on the field of share repurchases from shareholders and retained earnings within the owner's equity of the enterprise. In order to study the effect of share repurchases on the activities of the enterprise, let us use such mathematical methods as event study and econometric modeling. This article describes the step-by-step algorithm of carrying out event study and justifies the choice of Logit model in econometric analysis. The article represents basic results of conducted regression analysis on the effect of share repurchases on the key financial indicators in industrial enterprises.

  3. Business process modeling of industrial maintenance at TRANSPETRO: integrating oil pipeline and marine terminals activities

    Energy Technology Data Exchange (ETDEWEB)

    Arruda, Daniela Mendonca; Oliveira, Italo Luiz [TRANSPETRO - PETROBRAS Transporte S.A., Rio de Janeiro, RJ (Brazil). Diretoria de Terminais e Oleodutos; Almeida, Maria Fatima Ludovico de [Pontificia Universidade Catolica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ (Brazil). Programa de Pos-Graduacao em Metrologia para Qualidade e Inovacao

    2009-07-01

    This paper describes the experience of TRANSPETRO in remodeling industrial maintenance activities focusing on: preparing for business process modeling (BPM); mapping and analyzing 'As-Is' process; designing 'To-Be' process; implementing remodeled process; improving process continuously. The conceptual model and results achieved will contribute to several areas within the company as: reliability engineering; human resources, including employees' selective processes, training and development, and certifications; standardization process encompassing standard and operational procedures adoption according to up-dating external normative references and legal requirements; health, safety and environment (HSE) performance improvement. These are some of potential benefits from BPM focusing on TRANSPETRO's industrial maintenance area in the search of operational excellence. (author)

  4. Building a Model for Optimization of Informational-Analytical Ensuring of Cost Management of Industrial Enterprise

    Directory of Open Access Journals (Sweden)

    Lisovskyi Ihor V

    2015-09-01

    Full Text Available The article examines peculiarities of building a model of informational-analytical optimization of cost management. The main sources of information together with approaches to cost management of industrial enterprises have been identified. In order to ensure the successful operation of enterprise in the conditions of growing manifestations of crisis, a continuous improving of the system for enterprise management along with the most important elements, which are necessary for its normal functioning, should be carried out. One of these so important elements are costs of enterprise. Accordingly, for an effective cost management, the most appropriate management approaches and tools must be used, based on a proper informational-analytical support of all processes. The article proposes an optimization model of informationalanalytical ensuring of cost management of industrial enterprises, which will serve as a ground for more informed and economically feasible solutions. A combination of best practices and tools to improve the efficiency of enterprise management has been proposed

  5. Industrial Adoption of Model-Based Systems Engineering: Challenges and Strategies

    Science.gov (United States)

    Maheshwari, Apoorv

    As design teams are becoming more globally integrated, one of the biggest challenges is to efficiently communicate across the team. The increasing complexity and multi-disciplinary nature of the products are also making it difficult to keep track of all the information generated during the design process by these global team members. System engineers have identified Model-based Systems Engineering (MBSE) as a possible solution where the emphasis is placed on the application of visual modeling methods and best practices to systems engineering (SE) activities right from the beginning of the conceptual design phases through to the end of the product lifecycle. Despite several advantages, there are multiple challenges restricting the adoption of MBSE by industry. We mainly consider the following two challenges: a) Industry perceives MBSE just as a diagramming tool and does not see too much value in MBSE; b) Industrial adopters are skeptical if the products developed using MBSE approach will be accepted by the regulatory bodies. To provide counter evidence to the former challenge, we developed a generic framework for translation from an MBSE tool (Systems Modeling Language, SysML) to an analysis tool (Agent-Based Modeling, ABM). The translation is demonstrated using a simplified air traffic management problem and provides an example of a potential quite significant value: the ability to use MBSE representations directly in an analysis setting. For the latter challenge, we are developing a reference model that uses SysML to represent a generic infusion pump and SE process for planning, developing, and obtaining regulatory approval of a medical device. This reference model demonstrates how regulatory requirements can be captured effectively through model-based representations. We will present another case study at the end where we will apply the knowledge gained from both case studies to a UAV design problem.

  6. A Proposed Model for Measuring Performance of the University-Industry Collaboration in Open Innovation

    OpenAIRE

    Anca Draghici; Larisa Ivascu; Adrian Mateescu; George Draghici

    2017-01-01

    The paper aims to present a scientific approach to the creation, testing and validation of a model for performance measurement for university-industry collaboration (UIC). The main idea of the design process is to capitalize on existing success factors, facilitators and opportunities (motivation factors, knowledge transfer channels and identified benefits) and to diminish or avoid potential threats and barriers that might interfere with such collaborations. The main purpose ...

  7. A decision support model for identification and prioritization of key performance indicators in the logistics industry

    OpenAIRE

    Kucukaltan, Berk; Irani, Zahir; Aktas, Emel

    2016-01-01

    Performance measurement of logistics companies is based upon various performance indicators. Yet, in the logistics industry, there are several vaguenesses, such as deciding on key indicators and determining interrelationships between performance indicators. In order to resolve these vaguenesses, this paper first presents the stakeholder-informed Balanced Scorecard (BSC) model, by incorporating financial (e.g. cost) and non-financial (e.g. social media) performance indicators, with a comprehen...

  8. Critical success factors model developing for sustainable Kaizen implementation in manufactur-ing industry in Ethiopia

    OpenAIRE

    Haftu Hailu; Abdelkadir Kedir; Getachew Bassa; Kassu Jilcha

    2017-01-01

    The purpose of the research is to identify critical success factors and model developing for sustaining kaizen implementation. Peacock shoe is one of the manufacturing industries in Ethiopia facing challenges on sustaining. The methodology followed is factor analysis and empirically testing hypothesis. A database was designed using SPSS version 20. The survey was validated using statistical validation using the Cronbach alpha index; the result is 0.908. The KMO index value was obtained for th...

  9. Prospects and opportunities the implementation of effective management models at the enterprises of the Russian industry

    OpenAIRE

    E. S. Balashova; E. A. Gromova

    2016-01-01

    In 2015 the recession of the Russian economy continues. Economic forecasts of 2016 made by influential rating agencies and the International Monetary Fund are analyzed. It is emphasized that the course of structural economic changes, selected by the Russian government actualizes the issue of increasing the competitiveness of Russian industry on a global level that, in turn, contributes to the implementation of effective management models at the enterprises and organization of internal process...

  10. Determinants of Corporate Governance and Corporate Performance among Consumer Product Industry in Malaysia: A Theoretical Model

    OpenAIRE

    Kogilavani Apadore; Siti Subaryani Binti Zainol

    2014-01-01

    This study discusses on the relationship between corporate governance mechanisms and corporate performance of public listed companies in Bursa Malaysia among the consumer product industry. It investigates the corporate governance mechanisms such as ownership concentration, audit quality, board independence and CEO duality, are used to test on the relationship between both corporate governance and corporate performance. The proposed model indicates that the proportion of independent non-execut...

  11. Industrial waste recycling strategies optimization problem: mixed integer programming model and heuristics

    Science.gov (United States)

    Tang, Jiafu; Liu, Yang; Fung, Richard; Luo, Xinggang

    2008-12-01

    Manufacturers have a legal accountability to deal with industrial waste generated from their production processes in order to avoid pollution. Along with advances in waste recovery techniques, manufacturers may adopt various recycling strategies in dealing with industrial waste. With reuse strategies and technologies, byproducts or wastes will be returned to production processes in the iron and steel industry, and some waste can be recycled back to base material for reuse in other industries. This article focuses on a recovery strategies optimization problem for a typical class of industrial waste recycling process in order to maximize profit. There are multiple strategies for waste recycling available to generate multiple byproducts; these byproducts are then further transformed into several types of chemical products via different production patterns. A mixed integer programming model is developed to determine which recycling strategy and which production pattern should be selected with what quantity of chemical products corresponding to this strategy and pattern in order to yield maximum marginal profits. The sales profits of chemical products and the set-up costs of these strategies, patterns and operation costs of production are considered. A simulated annealing (SA) based heuristic algorithm is developed to solve the problem. Finally, an experiment is designed to verify the effectiveness and feasibility of the proposed method. By comparing a single strategy to multiple strategies in an example, it is shown that the total sales profit of chemical products can be increased by around 25% through the simultaneous use of multiple strategies. This illustrates the superiority of combinatorial multiple strategies. Furthermore, the effects of the model parameters on profit are discussed to help manufacturers organize their waste recycling network.

  12. Modeling industrial centrifugation of mammalian cell culture using a capillary based scale-down system.

    Science.gov (United States)

    Westoby, Matthew; Rogers, Jameson K; Haverstock, Ryan; Romero, Jonathan; Pieracci, John

    2011-05-01

    Continuous-flow centrifugation is widely utilized as the primary clarification step in the recovery of biopharmaceuticals from cell culture. However, it is a challenging operation to develop and characterize due to the lack of easy to use, small-scale, systems that can be used to model industrial processes. As a result, pilot-scale continuous centrifugation is typically employed to model large-scale systems requiring a significant amount of resources. In an effort to reduce resource requirements and create a system which is easy to construct and utilize, a capillary shear device, capable of producing energy dissipation rates equivalent to those present in the feed zones of industrial disk stack centrifuges, was developed and evaluated. When coupled to a bench-top, batch centrifuge, the capillary device reduced centrate turbidity prediction error from 37% to 4% compared to using a bench-top centrifuge alone. Laboratory-scale parameters that are analogous to those routinely varied during industrial-scale continuous centrifugation were identified and evaluated for their utility in emulating disk stack centrifuge performance. The resulting relationships enable bench-scale process modeling of continuous disk stack centrifuges using an easily constructed, scalable, capillary shear device coupled to a typical bench-top centrifuge. Copyright © 2010 Wiley Periodicals, Inc.

  13. Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry.

    Science.gov (United States)

    Zhu, Xiaoyan; Li, Xueping; Yao, Qingzhu; Chen, Yuerong

    2011-01-01

    This paper analyzed the uniqueness and challenges in designing the logistics system for dedicated biomass-to-bioenergy industry, which differs from the other industries, due to the unique features of dedicated biomass (e.g., switchgrass) including its low bulk density, restrictions on harvesting season and frequency, content variation with time and circumambient conditions, weather effects, scattered distribution over a wide geographical area, and so on. To design it, this paper proposed a mixed integer linear programming model. It covered from planting and harvesting switchgrass to delivering to a biorefinery and included the residue handling, concentrating on integrating strategic decisions on the supply chain design and tactical decisions on the annual operation schedules. The present numerical examples verified the model and demonstrated its use in practice. This paper showed that the operations of the logistics system were significantly different for harvesting and non-harvesting seasons, and that under the well-designed biomass logistics system, the mass production with a steady and sufficient supply of biomass can increase the unit profit of bioenergy. The analytical model and practical methodology proposed in this paper will help realize the commercial production in biomass-to-bioenergy industry. Copyright © 2010 Elsevier Ltd. All rights reserved.

  14. Analyzing the Mixing Dynamics of an Industrial Batch Bin Blender via Discrete Element Modeling Method

    Directory of Open Access Journals (Sweden)

    Maitraye Sen

    2017-04-01

    Full Text Available A discrete element model (DEM has been developed for an industrial batch bin blender in which three different types of materials are mixed. The mixing dynamics have been evaluated from a model-based study with respect to the blend critical quality attributes (CQAs which are relative standard deviation (RSD and segregation intensity. In the actual industrial setup, a sensor mounted on the blender lid is used to determine the blend composition in this region. A model-based analysis has been used to understand the mixing efficiency in the other zones inside the blender and to determine if the data obtained near the blender-lid region are able to provide a good representation of the overall blend quality. Sub-optimal mixing zones have been identified and other potential sampling locations have been investigated in order to obtain a good approximation of the blend variability. The model has been used to study how the mixing efficiency can be improved by varying the key processing parameters, i.e., blender RPM/speed, fill level/volume and loading order. Both segregation intensity and RSD reduce at a lower fill level and higher blender RPM and are a function of the mixing time. This work demonstrates the use of a model-based approach to improve process knowledge regarding a pharmaceutical mixing process. The model can be used to acquire qualitative information about the influence of different critical process parameters and equipment geometry on the mixing dynamics.

  15. Alcohol and drug policy model for the Canadian upstream petroleum industry

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-09-15

    This alcohol and drug policy model was developed to help employers manage and reduce the risks associated with drug and alcohol use in the workplace. The policy model outlined guidelines for establishing and implementing drug and alcohol policies, and discussed treatment programs and opportunities for re-employment. The model was developed by Enform, the upstream petroleum industry's safety and training arm, who used a previous guide developed by the Construction Owner's Association of Alberta (COAA) as a model. Enform's model provided a summary of key accountabilities across all levels of industry as well as the accepted minimum criteria for developing alcohol and drug policies. The model included guidelines and recommendations for employees, supervisors, and owners, employers, and contractors. The responsibilities of associations, organizations, and private companies were also outlined. An overview of recommended implementation plans was provided, as well as details of alcohol and drug use education programs and workplace rules. A supervisor's guide to implementation provided outlines of the causes of drug use among employees. tabs.

  16. Modelling of macrosegregation in steel ingots: benchmark validation and industrial application

    International Nuclear Information System (INIS)

    Li Wensheng; Shen Houfa; Liu Baicheng; Shen Bingzhen

    2012-01-01

    The paper presents the recent progress made by the authors on modelling of macrosegregation in steel ingots. A two-phase macrosegregation model was developed that incorporates descriptions of heat transfer, melt convection, solute transport, and solid movement on the process scale with microscopic relations for grain nucleation and growth. The formation of pipe shrinkage at the ingot top is also taken into account in the model. Firstly, a recently proposed numerical benchmark test of macrosegregation was used to verify the model. Then, the model was applied to predict the macrosegregation in a benchmark industrial-scale steel ingot. The predictions were validated against experimental data from the literature. Furthermore, macrosegregation experiment of an industrial 53-t steel ingot was performed. The simulation results were compared with the measurements. It is indicated that the typical macrosegregation patterns encountered in steel ingots, including a positively segregated zone in the hot top and a negative segregation in the bottom part of the ingot, are well reproduced with the model.

  17. Digital Platforms as Factor Transforming Management Models in Businesses and Industries

    Science.gov (United States)

    Dimitrakiev, D.; Molodchik, A. V.

    2018-05-01

    Increasingly, digital platforms are built into the value chain, acting as an intermediary between the manufacturer and the consumer. The paper presents tendencies and features of business model transformation in connection with management of the new digital technologies. The limitations of traditional business models and the capabilities of business models based on digital platforms and self-organization were revealed. In the study, the viability of the new business model for the dental industry was confirmed and the new concept of the branch self-organizing control system based on the information platform, blockchain, cryptocurrency and reward of target consumer is offered, including mechanisms that make the model attractive for both the consumer and the service provider.

  18. Process and building information modelling in the construction industry by using information delivery manuals and model view definitions

    DEFF Research Database (Denmark)

    Karlshøj, Jan

    2012-01-01

    The construction industry is gradually increasing its use of structured information and building information modelling.To date, the industry has suffered from the disadvantages of a project-based organizational structure and ad hoc solutions. Furthermore, it is not used to formalizing the flow...... of information and specifying exactly which objects and properties are needed for each process and which information is produced by the processes. The present study is based on reviewing the existing methodology of Information Delivery Manuals (IDM) from Buildingsmart, which also is also an ISO standard 29481...... Part 1; and the Model View Definition (MVD) methodology developed by Buildingsmart and BLIS. The research also includes a review of concrete IDM development projects that have been developed over the last five years. Although the study has identified interest in the IDM methodology in a number...

  19. Charging Customers or Making Profit? Business Model Change in the Software Industry

    Directory of Open Access Journals (Sweden)

    Margit Malmmose Peyton

    2014-08-01

    Full Text Available Purpose: Advancements in technology, changing customer demands or new market entrants are often seen as a necessary condition to trigger the creation of new Business Models, or disruptive change in existing ones. Yet, the sufficient condition is often determined by pricing and how customers are willing to pay for the technology (Chesbrough and Rosenbloom, 2002. As a consequence, much research on Business Models has focused on innovation and technology management (Rajala et al., 2012; Zott et al., 2011, and software-specific frameworks for Business Models have emerged (Popp, 2011; Rajala et al., 2003; Rajala et al., 2004; Stahl, 2004. This paper attempts to illustrate Business Model change in the software industry. Design: Drawing on Rajala et al. (2003, this case study explores the (1 antecedents and (2 consequences of a Business Model-change in a logistics software company. The company decided to abolish their profitable fee-based licensing for an internet-based version of its core product and to offer it as freeware including unlimited service. Findings: Firstly, we illustrate how external developments in technology and customer demands (pricing, as well as the desire for a sustainable Business Model, have led to this drastic change. Secondly, we initially find that much of the company’s new Business Model is congruent with the company-focused framework of Rajala et al. (2003 [product strategy; distribution model, services and implementation; revenue logic]. Value: The existing frameworks for Business Models in the software industry cannot fully explain the disruptive change in the Business Model. Therefore, we suggest extending the framework by the element of ‘innovation’.

  20. Research of power fuel low-temperature vortex combustion in industrial boiler based on numerical modelling

    Directory of Open Access Journals (Sweden)

    Orlova K.Y.

    2017-01-01

    Full Text Available The goal of the presented research is to perform numerical modelling of fuel low-temperature vortex combustion in once-through industrial steam boiler. Full size and scaled-down furnace model created with FIRE 3D software and was used for the research. All geometrical features were observed. The baseline information for the low-temperature vortex furnace process are velocity and temperature of low, upper and burner blast, air-fuel ratio, fuel consumption, coal dust size range. The obtained results are: temperature and velocity three dimensional fields, furnace gases and solid fuel ash particles concentration.

  1. The impact of the paradigm shift in the pop industry business model

    Directory of Open Access Journals (Sweden)

    María Seguí Moreno

    2015-06-01

    Full Text Available The present works is a synthesis of a final project for the Master’s Degree in Cultural Management. In the latest years, Internet has been the source of many changes in our society. The music industry has suffered a structural and irreversible change, which is reflected in the current vision of the business model held by music professionals. On the other hand, specialized magazines have become crucial as a filter for quality music, in a new scenario where musicians and consumers are in charge of establishing the guidelines to configure a new model.

  2. Creation of integrated information model of 'Ukryttya' object premises and industrial site conditions to support works

    International Nuclear Information System (INIS)

    Postil, S.D.; Ermolenko, A.I.; Ivanov, V.V.; Kotlyarov, V.T.

    2004-01-01

    Data integration is made using standard AutoCAD utility and special software developed in Visual Basic for Application language. Mutual transfer is realized between the applications prepared in Access and AutoCAD with displaying the submitted information. The work demonstrates a possibility to apply integrated information model for investigating radiation field's change and analysis regularities in premises and on industrial site area, development and visualization, with the use of computer animation means, of movement routes, displaying of emergency situations being forecast with the help of computer graphics means, integration of raster display of structures and vector computer model of objects

  3. Steel heat treating: mathematical modelling and numerical simulation of a problem arising in the automotive industry

    Directory of Open Access Journals (Sweden)

    Jose Manuel Diaz Moreno

    2017-12-01

    Full Text Available We describe a mathematical model for the industrial heating and cooling processes of a steel workpiece representing the steering rack of an automobile. The goal of steel heat treating is to provide a hardened surface on critical parts of the workpiece while keeping the rest soft and ductile in order to reduce fatigue. The high hardness is due to the phase transformation of steel accompanying the rapid cooling. This work takes into account both heating-cooling stage and viscoplastic model. Once the general mathematical formulation is derived, we can perform some numerical simulations.

  4. Impact of Internet of Things on Software Business Model and Software Industry

    OpenAIRE

    Murari, Bhanu Teja

    2016-01-01

    Context: Internet of things (IoT) technology is rapidly increasing and changes the business environment for a software organization. There is a need to understand what are important factors of business model should a software company focus on obtaining benefits from the potential that IoT offers. This thesis also focuses on finding the impact of IoT on software business model and software industry especially on software development. Objectives: In this thesis, we do research on IoT software b...

  5. Model audit for the process of industrial gammagraphy at oil refineries

    International Nuclear Information System (INIS)

    Cardenas, Eloy; Aquino, Josilto; Sajo-Bohus, Laszlo

    2013-01-01

    The purpose of this paper is to present a model of technical audit for the process of industrial gammagraphy, which was developed in one of the largest centers of refining of the world, located in Venezuela, so that safety and health of workers are guaranteed, and physical integrity of the radioactive sources. To achieve this objective a methodology was developed to audit the activity, according to the radiation protection program; the model developed with experts in this field was revised, and finally information is documented, thus achieving the proposal of the study

  6. A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services

    Directory of Open Access Journals (Sweden)

    Shui-Lien Chen

    2018-03-01

    Full Text Available Cloud computing is the next generation in computing, and the next natural step in the evolution of on-demand information technology services and products. However, only a few studies have addressed the adoption of cloud computing from an organizational perspective, which have not proven whether the research model is the best-fitting model. The purpose of this paper is to construct research competing models (RCMs and determine the best-fitting model for understanding industrial organization’s acceptance of cloud services. This research integrated the technology acceptance model and the principle of model parsimony to develop four cloud service adoption RCMs with enterprise usage intention being used as a proxy for actual behavior, and then compared the RCMs using structural equation modeling (SEM. Data derived from a questionnaire-based survey of 227 firms in Taiwan were tested against the relationships through SEM. Based on the empirical study, the results indicated that, although all four RCMs had a high goodness of fit, in both nested and non-nested structure comparisons, research competing model A (Model A demonstrated superior performance and was the best-fitting model. This study introduced a model development strategy that can most accurately explain and predict the behavioral intention of organizations to adopt cloud services.

  7. Financial Comparisons across Different Business Models in the Canadian Airline Industry

    Science.gov (United States)

    Flouris, Triant; Walker, Thomas

    2007-01-01

    This paper examines the accounting and stock price performance of two Canadian airlines, WestJet and Air Canada, over a five year period, taking into account the aftermath of the systemic shock to the airline industry produced by the September 11, 2001 (9-11), terrorist attacks and subsequent events such as the 2002 SARS outbreak, the wars in Afghanistan and Iraq, and the accompanying rise in jet fuel prices. Our study focuses on the viability of low-cost versus conventional-cost business models in Canada under the current business environment and the ability of airlines to withstand and effectively respond to catastrophic industry events. Furthermore, we link the effectiveness of the airlines responses to these events to specific elements of their respective business models. We test our hypothesis through a case study. We focus on WestJet as a typical low-cost airline and compare its accounting and stock performance to Air Canada, a legacy carrier and rival in several business sectors. We find WestJet to be much less affected by catastrophic industry events. By decomposing each airline s return volatility, we observe that WestJet s systematic and unsystematic risk increased only slightly during the industry's post-9-11 turmoil when compared to Air Canada. In addition, we find that both WestJet s accounting and stock performance have been highly superior to those of Air Canada. We argue that WestJet s business model provides the firm with significantly more financial and operational flexibility than its legacy rival, Air Canada. WestJet's lower operating costs, high consumer trust, product offering, corporate structure, workforce and work practices, as well as operational procedures are all factors that appear to contribute to its relative success.

  8. Conceptual model for decision support in mining industry NORM - aspects of environmental radiation protection

    International Nuclear Information System (INIS)

    Reis, Rocio Gloria dos

    2012-01-01

    Mining like many other industries can cause environmental impact. One of aspects that is in focus in many countries concerns to quantify the impact and establish requirements or improve the existing regulation about naturally occurring radioactive material - NORM. By a suitable management of the activities in these industries, there is an effort to minimize the waste production, minimize the environmental impacts and, consequently, the exposure of members of the public and workers. This study developed a conceptual model, a tool to assist in the decision making process for managers of mining and industrial facilities that deal with NORM. To develop this model, the Brazilian regulations were confronted with the regulations of countries where the NORM subject is important and with those that are being established by the principal institutions of radioprotection. The need of updating the Brazilian regulations was observed. Some recurring themes that are relevant to the management of NORM industries were surveyed, which resulted in the insertion of non-human biota risk assessment and the participation of stakeholders in the proposed model. The model was applied to a real case, the phosphoric acid and uranium plant of Santa Quiteria, in the Ceara state, with the aim of identifying the main critical points of the facility from the perspective of the environmental radiological impact and evaluating the adequacy of model, in addition to providing subsidies for its improvement. By the assessment of the process, it was found that the main source would be the phosphogypsum stack, which "2"2"6Ra activity concentration might exceed the level established for its use in agriculture and cement industry. The impact assessment was carried out in three different scenarios: 1) the critical group located in the facility borders, 2) the critical group located on the stack, after the closure of the area and 3) workers. In all cases, the exercise pointed out the exceeding of the adopted

  9. MLP based models to predict PM10, O3 concentrations, in Sines industrial area

    Science.gov (United States)

    Durao, R.; Pereira, M. J.

    2012-04-01

    Sines is an important Portuguese industrial area located southwest cost of Portugal with important nearby protected natural areas. The main economical activities are related with this industrial area, the deep-water port, petrochemical and thermo-electric industry. Nevertheless, tourism is also an important economic activity especially in summer time with potential to grow. The aim of this study is to develop prediction models of pollutant concentration categories (e.g. low concentration and high concentration) in order to provide early warnings to the competent authorities who are responsible for the air quality management. The knowledge in advanced of pollutant high concentrations occurrence will allow the implementation of mitigation actions and the release of precautionary alerts to population. The regional air quality monitoring network consists in three monitoring stations where a set of pollutants' concentrations are registered on a continuous basis. From this set stands out the tropospheric ozone (O3) and particulate matter (PM10) due to the high concentrations occurring in the region and their adverse effects on human health. Moreover, the major industrial plants of the region monitor SO2, NO2 and particles emitted flows at the principal chimneys (point sources), also on a continuous basis,. Therefore Artificial neuronal networks (ANN) were the applied methodology to predict next day pollutant concentrations; due to the ANNs structure they have the ability to capture the non-linear relationships between predictor variables. Hence the first step of this study was to apply multivariate exploratory techniques to select the best predictor variables. The classification trees methodology (CART) was revealed to be the most appropriate in this case.. Results shown that pollutants atmospheric concentrations are mainly dependent on industrial emissions and a complex combination of meteorological factors and the time of the year. In the second step, the Multi

  10. A multi-agent safety response model in the construction industry.

    Science.gov (United States)

    Meliá, José L

    2015-01-01

    The construction industry is one of the sectors with the highest accident rates and the most serious accidents. A multi-agent safety response approach allows a useful diagnostic tool in order to understand factors affecting risk and accidents. The special features of the construction sector can influence the relationships among safety responses along the model of safety influences. The purpose of this paper is to test a model explaining risk and work-related accidents in the construction industry as a result of the safety responses of the organization, the supervisors, the co-workers and the worker. 374 construction employees belonging to 64 small Spanish construction companies working for two main companies participated in the study. Safety responses were measured using a 45-item Likert-type questionnaire. The structure of the measure was analyzed using factor analysis and the model of effects was tested using a structural equation model. Factor analysis clearly identifies the multi-agent safety dimensions hypothesized. The proposed safety response model of work-related accidents, involving construction specific results, showed a good fit. The multi-agent safety response approach to safety climate is a useful framework for the assessment of organizational and behavioral risks in construction.

  11. A Proposed Model for Measuring Performance of the University-Industry Collaboration in Open Innovation

    Directory of Open Access Journals (Sweden)

    Anca Draghici

    2017-06-01

    Full Text Available The paper aims to present a scientific approach to the creation, testing and validation of a model for performance measurement for university-industry collaboration (UIC. The main idea of the design process is to capitalize on existing success factors, facilitators and opportunities (motivation factors, knowledge transfer channels and identified benefits and to diminish or avoid potential threats and barriers that might interfere with such collaborations. The main purpose of the applied methodology is to identify solutions and measures to overcome the disadvantages, conflicts or risk issues and to facilitate the open innovation of industrial companies and universities. The methodology adopted was differentiated by two perspectives: (1 a business model reflecting the university perspective along with an inventory of key performance indicators (KPIs; (2 a performance measurement model (including performance criteria and indicators and an associated methodology (assimilated to an audit that could help companies increase collaboration with universities in the context of open innovation. In addition, in order to operationalize the proposed model (facilitating practical implementation, an Excel tool has been created to help identifying potential sources of innovation. The main contributions of the research concern the expansion of UICs knowledge to enhance open innovation and to define an effective performance measurement model and instrument (tested and validated by a case study for companies.

  12. COST VOLUME PROFIT MODEL, THE BREAK -EVEN POINT AND THE DECISION MAKING PROCESS IN THE HOSPITALITY INDUSTRY

    Directory of Open Access Journals (Sweden)

    Scorte Carmen

    2010-12-01

    Full Text Available Management accounting and cost calculation in the hospitality industry is a pathless land. The prezent article is a starting point of a long scientific approach on the domain of the hospitality industry and on the managerial accounting in this area. Our intention is to put the spot light back on the thorny problem of applying Financial Accounting and specifically its implementation in the hospitality industry. One aim of this article is to provide a picture of CVP analysis in decision making with customizing the hospitality industry. To cope with the crisis period, the competition and to achieve the expected profits of the hospitality industry ,managers have the possibility to apply CVP analysis, one of the most simple and useful analytical tools. This paper will address the basic version of the CVP model, exemplifying the main indicators of the particular model for the hospitality industry that can help guide decision-making.

  13. Creating comprehensive Mandarin training model for Taiwanese industry: An anticipation of Taiwan ‘Southbound policy

    Science.gov (United States)

    Ying, Y.; Mursitama, T. N.; Sofi; Anggreani, L.

    2018-03-01

    The study discusses the effort of preparing human resources in mastering Mandarin for Taiwan industry as the anticipation of Southbound policy created by Taiwan government. In this point, the Southbound policy represents Taiwan’s government strategy in 2016-2020 which encourages multilateral and bilateral cooperation with ASEAN and South Asian countries. One of the most important elements in the program centers as the Internship Scholarship Program in Taiwan. Utilizing qualitative research methods, researchers collected secondary data from various available official resources. The publications, documents, books, and websites contain the policy and mechanism of the internship scholarship program. On the other hand, this study conducted interviews with senior high school and vocational high school stakeholders to create synergy in the program. This study offers a model of cooperation between junior high school/vocational school and the candidates of the employer in the Taiwan industry. The contribution of this research is to create a comprehensive cooperative model that includes preparing human resources before leaving for Taiwan, providing teachers and supplying training materials that are relevant to the needs of industry players in Taiwan eventually.

  14. Development of a System Model for Determining Optimal Personnel Interaction Strategy in a Production Industry

    Directory of Open Access Journals (Sweden)

    B. Kareem

    2017-03-01

    Full Text Available Manufacturing organizations have become more complex in recent time as a result of technological advances. Communication among production workers operating in an environment marked by increased organizational complexity may require planning for the economically appropriate selection of network channels/media with enhanced productivity. This paper examines traditional and modern communication channels (media and their comparative advantages over one another in their adoption in manufacturing organizations. In this framework, six media (human messengers, mobile-phones, intranet, fixed-internet, mobile-internet, and private branch exchange [PBX] phone systems were subjected to analyses using five identified network patterns (all-channel, chain, Y, wheel, and circle of interactions in manufacturing organizations. Costs, benefits, and the utility of the channels were integrated into the model and utilized to determine the most sustainable media that could enhance productivity in industry. The developed model was implemented using expert data/information collected from the plastic production industry. The results of an availability assessment showed that the enhancement of productivity could be fully achieved by utilizing mobile phones and internet networks, but when considering overall utility, only mobile phones could bring about the desired productivity with 0.59 probability. The findings suggest that the system developed is robust in revealing how productivity might be affected by means of communication among industrial workers.

  15. Adsorption thermal energy storage for cogeneration in industrial batch processes: Experiment, dynamic modeling and system analysis

    International Nuclear Information System (INIS)

    Schreiber, Heike; Graf, Stefan; Lanzerath, Franz; Bardow, André

    2015-01-01

    Adsorption thermal energy storage is investigated for heat supply with cogeneration in industrial batch processes. The feasibility of adsorption thermal energy storage is demonstrated with a lab-scale prototype. Based on these experiments, a dynamic model is developed and successfully calibrated to measurement data. Thereby, a reliable description of the dynamic behavior of the adsorption thermal energy storage unit is achieved. The model is used to study and benchmark the performance of adsorption thermal energy storage combined with cogeneration for batch process energy supply. As benchmark, we consider both a peak boiler and latent thermal energy storage based on a phase change material. Beer brewing is considered as an example of an industrial batch process. The study shows that adsorption thermal energy storage has the potential to increase energy efficiency significantly; primary energy consumption can be reduced by up to 25%. However, successful integration of adsorption thermal storage requires appropriate integration of low grade heat: Preferentially, low grade heat is available at times of discharging and in demand when charging the storage unit. Thus, adsorption thermal energy storage is most beneficial if applied to a batch process with heat demands on several temperature levels. - Highlights: • A highly efficient energy supply for industrial batch processes is presented. • Adsorption thermal energy storage (TES) is analyzed in experiment and simulation. • Adsorption TES can outperform both peak boilers and latent TES. • Performance of adsorption TES strongly depends on low grade heat temperature.

  16. An ARIMA-Intervention Analysis Model for the Financial Crisis in China's Manufacturing Industry

    Directory of Open Access Journals (Sweden)

    W.H. Ip

    2009-10-01

    Full Text Available Triggered by the subprime mortgage crisis in the United States (U.S., a financial tsunami has spread rapidly around the globe, from the U.S. to Europe and the rest of the world, causing the world economy to enter a recession. China is no exception, and has suffered a sharp reduction in the growth of its export and manufacturing sectors. In this paper, we attempt to model and analyze the impact of financial crisis on the manufacturing industry in China using data collected from March 2005 to November 2008 by the China Statistical Databases of the National Bureau of Statistics of China. The results indicate that China's manufacturing industry may have to tolerate a significant negative effect caused by the global financial crisis over a period of time, with its gross industrial output value declining continually throughout 2008 and 2009 before reaching a state of equilibrium. The intervention effect is described in this study as temporary but immediate and abrupt. It is found that the ARIMA-Intervention model is more precise at explaining and analyzing the intervention effects of the financial tsunami.

  17. Application of predictive modelling techniques in industry: from food design up to risk assessment.

    Science.gov (United States)

    Membré, Jeanne-Marie; Lambert, Ronald J W

    2008-11-30

    In this communication, examples of applications of predictive microbiology in industrial contexts (i.e. Nestlé and Unilever) are presented which cover a range of applications in food safety from formulation and process design to consumer safety risk assessment. A tailor-made, private expert system, developed to support safe product/process design assessment is introduced as an example of how predictive models can be deployed for use by non-experts. Its use in conjunction with other tools and software available in the public domain is discussed. Specific applications of predictive microbiology techniques are presented relating to investigations of either growth or limits to growth with respect to product formulation or process conditions. An example of a probabilistic exposure assessment model for chilled food application is provided and its potential added value as a food safety management tool in an industrial context is weighed against its disadvantages. The role of predictive microbiology in the suite of tools available to food industry and some of its advantages and constraints are discussed.

  18. Model Keterkaitan Market Orientation, Leadership, Organizational Innovation dan Organizational Performance pada Industri Kerajinan di Sumatera Barat

    Directory of Open Access Journals (Sweden)

    RATNI PRIMA LITA

    2018-04-01

    Full Text Available The purpose of this study is to analyze the influence of market orientation, leadership, organizational innovation and organizational performance in handycraft industry in Bukittinggi City, Pariaman City, Padang Pariaman Regency, and Pesisir Selatan Regency. This research uses quantitative methods, while the sampling technique using Purposive sampling with sample size of 86 craft companies. The criteria assigned to the respondent is the handycraft business that produce and market their own product. In this study, data were collected through the questionnaire of the owner of the handycraft industry. Data were analyzed using structural equation modeling (SEM method with SmartPLS software. This research uses multidimensional constructions first order reflective and second order formative. Based on the data analyzed it can be concluded that leadership has a significant positive effect on business performance. This is evidenced by the two dimensions of leadership (Transactional leadership and transformational leadership is able to explain the performance of the organization well. In addition, market orientation  have 3 dimensional (Customer orientation, resource orientation, and competitor orientation is also able to give influence to organizational performance and organizational innovation. However, organizational innovation is not able to give a significant influence for the performance improvement of handycraft industry. It can be concluded that organizational performance in handycraft industry is influenced by market orientation conducted on consumers and competitors. And also the most important factor is how the attitude of leadership owned by the owner of handicraft industry in managing and running the business, in order to craft products in accordance with customer tastes.

  19. Exploring the Relationship Between Business Model Innovation, Corporate Sustainability, and Organisational Values within the Fashion Industry

    DEFF Research Database (Denmark)

    Pedersen, Esben Rahbek Gjerdrum; Gwozdz, Wencke; Hvass, Kerli Kant

    2018-01-01

    their origin in the fundamental principles guiding the organisation. In addition, the study also finds a positive relationship between the core organisational values and financial performance. The analysis of the paper is based on survey responses from 492 managers within the Swedish fashion industry.......The objective of this paper is to examine the relationship between business model innovation, corporate sustainability, and the underlying organisational values. Moreover, the paper examines how the three dimensions correlate with corporate financial performance. It is concluded that companies...... with innovative business models are more likely to address corporate sustainability and that business model innovation and corporate sustainability alike are typically found in organisations rooted in values of flexibility and discretion. Business model innovation and corporate sustainability thus seem to have...

  20. Modelling of different enzyme productions by solid-state fermentation on several agro-industrial residues.

    Science.gov (United States)

    Diaz, Ana Belen; Blandino, Ana; Webb, Colin; Caro, Ildefonso

    2016-11-01

    A simple kinetic model, with only three fitting parameters, for several enzyme productions in Petri dishes by solid-state fermentation is proposed in this paper, which may be a valuable tool for simulation of this type of processes. Basically, the model is able to predict temporal fungal enzyme production by solid-state fermentation on complex substrates, maximum enzyme activity expected and time at which these maxima are reached. In this work, several fermentations in solid state were performed in Petri dishes, using four filamentous fungi grown on different agro-industrial residues, measuring xylanase, exo-polygalacturonase, cellulose and laccase activities over time. Regression coefficients after fitting experimental data to the proposed model turned out to be quite high in all cases. In fact, these results are very interesting considering, on the one hand, the simplicity of the model and, on the other hand, that enzyme activities correspond to different enzymes, produced by different fungi on different substrates.

  1. Association Rule-based Predictive Model for Machine Failure in Industrial Internet of Things

    Science.gov (United States)

    Kwon, Jung-Hyok; Lee, Sol-Bee; Park, Jaehoon; Kim, Eui-Jik

    2017-09-01

    This paper proposes an association rule-based predictive model for machine failure in industrial Internet of things (IIoT), which can accurately predict the machine failure in real manufacturing environment by investigating the relationship between the cause and type of machine failure. To develop the predictive model, we consider three major steps: 1) binarization, 2) rule creation, 3) visualization. The binarization step translates item values in a dataset into one or zero, then the rule creation step creates association rules as IF-THEN structures using the Lattice model and Apriori algorithm. Finally, the created rules are visualized in various ways for users’ understanding. An experimental implementation was conducted using R Studio version 3.3.2. The results show that the proposed predictive model realistically predicts machine failure based on association rules.

  2. Econometric model of the petroleum industry. [Determining crude supply and outputs/prices of refinery products

    Energy Technology Data Exchange (ETDEWEB)

    Rice, P [Oak Ridge National Lab., TN; Smith, V K

    1977-11-01

    This paper describes a forty-two nonlinear equation model of the U.S. petroleum industry estimated over the period 1946 to 1973. The model specifies refinery outputs and prices as being simultaneously determined by market forces while the domestic output of crude oil is determined in a block-recursive segment of the model. The simultaneous behavioral equations are estimated with nonlinear two-stage least-squares adjusted to reflect the implications of autocorrelation for those equations where it appears to be a problem. A multi-period sample simulation, together with forecasts for 1974 and 1975 are used to evaluate the model's performance. Finally, it is used to forecast to 1985 under two scenarios and compared with the Federal Energy Administration's forecast for the same period. 2 figures, 8 tables, 38 references.

  3. Dynamic modeling and control of industrial crude terephthalic acid hydropurification process

    Energy Technology Data Exchange (ETDEWEB)

    Li, Zhi; Zhong, Weimin; Liu, Yang; Luo, Na; Qian, Feng [East China University of Science and Technology, Shanghai (China)

    2015-04-15

    Purified terephthalic acid (PTA) is critical to the development of the polyester industry. PTA production consists of p-xylene oxidation reaction and crude terephthalic acid (CTA) hydropurification. The hydropurification process is necessary to eliminate 4-carboxybenzaldehyde (4-CBA), which is a harmful byproduct of the oxidation reaction process. Based on the dynamic model of the hydropurification process, two control systems are studied using Aspen Dynamics. The first system is the ratio control system, in which the mass flows of CTA and deionized water are controlled. The second system is the multivariable predictive control-proportional-integral-derivative cascade control strategy, in which the concentrations of 4-CBA and carbon monoxide are chosen as control variables and the reaction temperature and hydrogen flow are selected as manipulated variables. A detailed dynamic behavior is investigated through simulation. Results show that the developed control strategies exhibit good control performances, thereby providing theoretical guidance for advanced control of industry-scale PTA production.

  4. Digital Transformation, Business Model Innovation and Efficiency in Content Industries: A Review

    Directory of Open Access Journals (Sweden)

    Joseph P. Rojers

    2018-03-01

    Full Text Available Owing to the symbolic, highly digitizable nature of the goods the content industry produces, they are highly amenable to digital transformation with radical consequences for businesses selling information products. Digitization and digital networks can save several costs that are inherent in the brick and mortar value chain in the content industry. This transformation creates newer values at several points in the value chain, leading to the emergence of newer business models that enlarge the existing business pie by attracting new customers or encouraging the existing customers to consume more. However, price dispersion that results from product heterogeneity, convenience-seeking user behaviour, consumer awareness, retailer brand equity and trust, and higher switching costs leads to inefficiency in Internet markets. Thus, the pricing strategies suitable for information products differ from that for physical goods - price discrimination and product bundling being two commonly and successfully used pricing strategies for digitized information products.

  5. The economics of bootstrapping space industries - Development of an analytic computer model

    Science.gov (United States)

    Goldberg, A. H.; Criswell, D. R.

    1982-01-01

    A simple economic model of 'bootstrapping' industrial growth in space and on the Moon is presented. An initial space manufacturing facility (SMF) is assumed to consume lunar materials to enlarge the productive capacity in space. After reaching a predetermined throughput, the enlarged SMF is devoted to products which generate revenue continuously in proportion to the accumulated output mass (such as space solar power stations). Present discounted value and physical estimates for the general factors of production (transport, capital efficiency, labor, etc.) are combined to explore optimum growth in terms of maximized discounted revenues. It is found that 'bootstrapping' reduces the fractional cost to a space industry of transport off-Earth, permits more efficient use of a given transport fleet. It is concluded that more attention should be given to structuring 'bootstrapping' scenarios in which 'learning while doing' can be more fully incorporated in program analysis.

  6. Improved Fossil/Industrial CO2 Emissions Modeling for the North American Carbon Program

    Science.gov (United States)

    Gurney, K. R.; Seib, B.; Mendoza, D.; Knox, S.; Fischer, M.; Murtishaw, S.

    2006-12-01

    The quantification of fossil fuel CO2 emissions has implications for a wide variety of scientific and policy- related questions. Improvement in inverse-estimated carbon fluxes, country-level carbon budgeting, analysis of regional emissions trading systems, and targeting of observational systems are all important applications better served by improvements in understanding where and when fossil fuel/industrial CO2 is emitted. Traditional approaches to quantifying fossil/industrial CO2 emissions have relied on national sales/consumption of fossil fuels with secondary spatial footprints performed via proxies such as population. This approach has provided global spatiotemporal resolution of one degree/monthly. In recent years the need has arisen for emission estimates that not only achieve higher spatiotemporal scales but include a process- level component. This latter attribute provides dynamic linkages between energy policy/decisionmaking and emissions for use in projecting changes to energy systems and the implications these changes may have on climate change. We have embarked on a NASA-funded research strategy to construct a process-level fossil/industrial CO2 emissions model/database for North America that will resolve fossil/industrial CO2 emissions hourly and at 36 km. This project is a critical component of the North American Carbon Program. Our approach builds off of many decades of air quality monitoring for regulated pollutants such as NOx, VOCs and CO that has been performed by regional air quality managers, states, and the Environmental Protection Agency in the United States. By using the highly resolved monitoring data supplied to the EPA, we have computed CO2 emissions for residential, commercial/industrial, transportation, and biogenic sources. This effort employs a new emissions modeling system (CONCEPT) that spatially and temporally distributes the monitored emissions across the US. We will provide a description of the methodology we have employed, the

  7. Novel Adaptive Forward Neural MIMO NARX Model for the Identification of Industrial 3-DOF Robot Arm Kinematics

    OpenAIRE

    Ho Pham Huy Anh; Nguyen Thanh Nam

    2012-01-01

    In this paper, a novel forward adaptive neural MIMO NARX model is used for modelling and identifying the forward kinematics of an industrial 3‐DOF robot arm system. The nonlinear features of the forward kinematics of the industrial robot arm drive are thoroughly modelled based on the forward adaptive neural NARX model‐based identification process using experimental input‐output training data. This paper proposes a novel use of a back propagation (BP) algorithm to generate the forward neural M...

  8. Drug-disease modeling in the pharmaceutical industry - where mechanistic systems pharmacology and statistical pharmacometrics meet.

    Science.gov (United States)

    Helmlinger, Gabriel; Al-Huniti, Nidal; Aksenov, Sergey; Peskov, Kirill; Hallow, Karen M; Chu, Lulu; Boulton, David; Eriksson, Ulf; Hamrén, Bengt; Lambert, Craig; Masson, Eric; Tomkinson, Helen; Stanski, Donald

    2017-11-15

    Modeling & simulation (M&S) methodologies are established quantitative tools, which have proven to be useful in supporting the research, development (R&D), regulatory approval, and marketing of novel therapeutics. Applications of M&S help design efficient studies and interpret their results in context of all available data and knowledge to enable effective decision-making during the R&D process. In this mini-review, we focus on two sets of modeling approaches: population-based models, which are well-established within the pharmaceutical industry today, and fall under the discipline of clinical pharmacometrics (PMX); and systems dynamics models, which encompass a range of models of (patho-)physiology amenable to pharmacological intervention, of signaling pathways in biology, and of substance distribution in the body (today known as physiologically-based pharmacokinetic models) - which today may be collectively referred to as quantitative systems pharmacology models (QSP). We next describe the convergence - or rather selected integration - of PMX and QSP approaches into 'middle-out' drug-disease models, which retain selected mechanistic aspects, while remaining parsimonious, fit-for-purpose, and able to address variability and the testing of covariates. We further propose development opportunities for drug-disease systems models, to increase their utility and applicability throughout the preclinical and clinical spectrum of pharmaceutical R&D. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. RBF–ARX model of an industrial furnace for drying olive pomace

    International Nuclear Information System (INIS)

    Casanova-Peláez, P.J.; Cruz-Peragón, F.; Palomar-Carnicero, J.M.; Dorado, R.; López-García, R.

    2012-01-01

    Highlights: ► We model a real furnace, fuelled with orujo, used to dry olive pomace. ► We apply a radial basic functions–auto-regression with exogenous variables (ARXs–RBFs) method. ► Root-mean-square error and r 2 are used to validate the ARX–RBF model. - Abstract: Drying operations are common in food industries. One of the main components in a drying system is the furnace. The furnace operation involves heat–mass transfer and combustion, thus it demands a complex mathematic representation. Since autoregressive methods are simple, and help to simulate rapidly a system, we model a drying furnace of olive pomace via an auto-regression with exogenous variables (ARXs) method. A neural network of radial basic functions (RBFs) defines the ARX experimental relation between the amounts of dry pomace (moisture content of 15%) used like fuel and the temperature of outlet gases. A real industrial furnace is studied to validate the proposed model, which can help to control the drying process.

  10. A Novel Approach for Prediction of Industrial Catalyst Deactivation Using Soft Sensor Modeling

    Directory of Open Access Journals (Sweden)

    Hamed Gharehbaghi

    2016-06-01

    Full Text Available Soft sensors are used for fault detection and prediction of the process variables in chemical processing units, for which the online measurement is difficult. The present study addresses soft sensor design and identification for deactivation of zeolite catalyst in an industrial-scale fixed bed reactor based on the process data. The two main reactions are disproportionation (DP and transalkylation (TA, which change toluene and C9 aromatics into xylenes and benzene. Two models are considered based on the mass conservation around the reactor. The model parameters are estimated by data-based modeling (DBM philosophy and state dependent parameter (SDP method. In the SDP method, the parameters are assumed to be a function of the system states. The results show that the catalyst activity during the period under study has approximately a monotonic trend. Identification of the system clearly shows that the xylene concentration has a determining role in the conversion of reactions. The activation energies for both DP and TA reactions are found to be 43.8 and 18 kJ/mol, respectively. The model prediction is in good agreement with the observed industrial data.

  11. Eucalyptus plantations and the steel industry in Amazonia - A contribution from the 3-PG model

    International Nuclear Information System (INIS)

    Behling, Maurel; Piketty, Marie Gabrielle; Morello, Thiago Fonseca; Bouillet, Jean-Pierre; Laclau, Jean-Paul; Mesquita Neto, Franscisco

    2011-01-01

    The Carajas steel industry sector in the Brazilian Amazon has aroused protest on environmental grounds because of its heavy reliance on charcoal. The charcoal is mainly produced from natural forest biomass, with direct and indirect impacts on deforestation and forest ecosystem degradation. Establishing eucalyptus plantations for fuel on degraded pastures could be a workable alternative. Few such plantations exist as yet, and because there are no validated assessments of their production potential, a study was conducted to provide consolidated estimations of the growth and productivity of the Carajas eucalyptus plantations. The estimations were obtained with the 3-PG model (Physiological Principles in Predicting Growth). The model parameters are based on growth data for the eucalyptus plantations established by a company in Breu Branco municipality in Brazil's Para State. Calibrating the model with local data proved to be far more effective than using the parameters set for eucalyptus plantations in other areas in Brazil, South Africa or Australia. The simulations made show that the current annual average growth rate, over a six-year period, of about 20 m"3 per hectare could increase to 30 m"3 with appropriate fertilisation and effective underbrush control. They also suggest that production could be higher without water deficit. Plantation zones shall be selected as a priority in areas where the dry season is the least severe around Carajas. These 3-PG model settings have made it a more effective management tool for industrial plantations in Amazonian conditions. (authors)

  12. MODEL PENDETEKSIAN KECURANGAN LAPORAN KEUANGAN OLEH AUDITOR SPESIALIS INDUSTRI DENGAN ANALISIS FRAUD TRIANGLE

    Directory of Open Access Journals (Sweden)

    Reskino

    2016-08-01

    Full Text Available Abstrak: Model Pendeteksian Kecurangan Laporan Keuangan dengan Analisis Fraud Triangle. Penelitian ini bertujuan untuk membuat model dalam mendeteksi kecurangan laporan keuangan. Penelitian ini menguji variabel fraud triangle dan auditor spesialis industri dengan kecurangan laporan keuangan. Sampel penelitian adalah 30 perusahaan fraud dan 30 perusahaan non-fraudyang listing di Bursa Efek Indonesia (BEI serta terkena sanksi dan kasus oleh Otoritas Jasa Keuangan (OJK. Hasil penelitian ini menunjukkan financial targetsdapat mendeteksi kecurangan laporan keuangan, sedangkan financial stabililty tidak dapat mendeteksi kecurangan laporan keuangan. Abstract: Financial Statement Fraud Detection Model with Fraud Triangle Analysis. The research purposes is to create a model to detect financial statement fraud. This research examines the variable of fraud triangle and auditor industry specialization with financial statement fraud. Samples were 30 companies of fraud and 30 non-fraud companies that were listed on the Indonesia Stock Exchange (IDX and sanctioned by the Financial Services Authority (FSA. The result shows the financial targets can be detect financial statement fraud, while financial stability can’t be detect financial statement fraud.

  13. Make or Buy in a Mature Industry? Models of Clientsupplier Relationships under TCT and RBV Perspectives

    Directory of Open Access Journals (Sweden)

    Manuel Portugal Ferreira

    2010-01-01

    Full Text Available In this paper, we use the transaction cost theory [TCT] and the resource-based view [RBV] to discuss three propositions on the models of client-supplier relationships in mature industries. The two theories seem to advance different organizational forms of the client-supplier relationships, and in some instances are contradictory. How should firms organize to prosper and grow, namely in the international markets? Through the case study of three Portuguese packaging firms, with primary (interviews and secondary data, we discuss how the three firms deploy three distinct strategic organization models in a mature industry. One firm utilizes marketbased governance mechanisms, and concentrates its production in a few selected locations. Another firm vertically integrates almost the entire value chain of the product to provide full service to its clients. The third firm operates in a model of integrated outsourcing, with the installation wall to wall with its clients. The clientsupplier models adopted by these firms are based on efficient, stable, and trustworthy relationships that permit them to focus on their core competences and reduce transaction costs. The superior performance of firms requires a proper alignment of hierarchical and relational governance, taking the dimensions of their transactions into consideration.

  14. Implementation of partnership management model of SMK (Vocational High School) with existing industries in mechanical engineering expertise in Central Java

    Science.gov (United States)

    Sumbodo, Wirawan; Pardjono, Samsudi, Rahadjo, Winarno Dwi

    2018-03-01

    This study aims to determine the existing conditions of implementation of partnership management model of SMK with the industry on the mechanical engineering expertise in Central Java. The method used is descriptive analysis. The research result shows that the implementation of partnership management model of SMK based on new existing industry produces ready graduates of 62.5% which belongs to low category, although the partnership program of SMK with the industry is done well with the average score of 3.17. As many as 37.5% of SMK graduates of Mechanical Engineering Expertise Program choose to continue their studies or to be an entrepreneur. It is expected that the partnership model of SMK with the industry can be developed into a reference for government policy in developing SMK that is able to produce graduates who are ready to work according to the needs of partner industry.

  15. Safety Culture: A Requirement for New Business Models — Lessons Learned from Other High Risk Industries

    International Nuclear Information System (INIS)

    Kecklund, L.

    2016-01-01

    Technical development and changes on global markets affects all high risk industries creating opportunities as well as risks related to the achievement of safety and business goals. Changes in legal and regulatory frameworks as well as in market demands create a need for major changes. Several high risk industries are facing a situation where they have to develop new business models. Within the transportation domain, e.g., aviation and railways, there is a growing concern related to how the new business models may affects safety issues. New business models in aviation and railways include extensive use of outsourcing and subcontractors to reduce costs resulting in, e.g., negative changes in working conditions, work hours, employment conditions and high turnover rates. The energy sector also faces pressures to create new business models for transition to renewable energy production to comply with new legal and regulatory requirements and to make best use of new reactor designs. In addition, large scale phase out and decommissioning of nuclear facilities have to be managed by the nuclear industry. Some negative effects of new business models have already arisen within the transportation domain, e.g., the negative effects of extensive outsourcing and subcontractor use. In the railway domain the infrastructure manager is required by European and national regulations to assure that all subcontractors are working according to the requirements in the infrastructure managers SMS (Safety Management System). More than ten levels of subcontracts can be working in a major infrastructure project making the system highly complex and thus difficult to control. In the aviation domain, tightly coupled interacting computer networks supplying airport services, as well as air traffic control, are managed and maintained by several different companies creating numerous interfaces which must be managed by the SMS. There are examples where a business model with several low

  16. A novel industry grade dataset for fault prediction based on model-driven developed automotive embedded software

    NARCIS (Netherlands)

    Altinger, H.; Siegl, S.; Dajsuren, Y.; Wotawa, F.

    2015-01-01

    In this paper, we present a novel industry dataset on static software and change metrics for Matlab/Simulink models and their corresponding auto-generated C source code. The data set comprises data of three automotive projects developed and tested accordingly to industry standards and restrictive

  17. Modelling a flows in supply chain with analytical models: Case of a chemical industry

    Science.gov (United States)

    Benhida, Khalid; Azougagh, Yassine; Elfezazi, Said

    2016-02-01

    This study is interested on the modelling of the logistics flows in a supply chain composed on a production sites and a logistics platform. The contribution of this research is to develop an analytical model (integrated linear programming model), based on a case study of a real company operating in the phosphate field, considering a various constraints in this supply chain to resolve the planning problems for a better decision-making. The objectives of this model is to determine and define the optimal quantities of different products to route, to and from the various entities in the supply chain studied.

  18. ACTIVIS: Visual Exploration of Industry-Scale Deep Neural Network Models.

    Science.gov (United States)

    Kahng, Minsuk; Andrews, Pierre Y; Kalro, Aditya; Polo Chau, Duen Horng

    2017-08-30

    While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in developing visual tools to help users interpret deep learning models, the complexity and wide variety of models deployed in industry, and the large-scale datasets that they used, pose unique design challenges that are inadequately addressed by existing work. Through participatory design sessions with over 15 researchers and engineers at Facebook, we have developed, deployed, and iteratively improved ACTIVIS, an interactive visualization system for interpreting large-scale deep learning models and results. By tightly integrating multiple coordinated views, such as a computation graph overview of the model architecture, and a neuron activation view for pattern discovery and comparison, users can explore complex deep neural network models at both the instance- and subset-level. ACTIVIS has been deployed on Facebook's machine learning platform. We present case studies with Facebook researchers and engineers, and usage scenarios of how ACTIVIS may work with different models.

  19. Biotrickling filter modeling for styrene abatement. Part 1: Model development, calibration and validation on an industrial scale.

    Science.gov (United States)

    San-Valero, Pau; Dorado, Antonio D; Martínez-Soria, Vicente; Gabaldón, Carmen

    2018-01-01

    A three-phase dynamic mathematical model based on mass balances describing the main processes in biotrickling filtration: convection, mass transfer, diffusion, and biodegradation was calibrated and validated for the simulation of an industrial styrene-degrading biotrickling filter. The model considered the key features of the industrial operation of biotrickling filters: variable conditions of loading and intermittent irrigation. These features were included in the model switching from the mathematical description of periods with and without irrigation. Model equations were based on the mass balances describing the main processes in biotrickling filtration: convection, mass transfer, diffusion, and biodegradation. The model was calibrated with steady-state data from a laboratory biotrickling filter treating inlet loads at 13-74 g C m -3 h -1 and at empty bed residence time of 30-15 s. The model predicted the dynamic emission in the outlet of the biotrickling filter, simulating the small peaks of concentration occurring during irrigation. The validation of the model was performed using data from a pilot on-site biotrickling filter treating styrene installed in a fiber-reinforced facility. The model predicted the performance of the biotrickling filter working under high-oscillating emissions at an inlet load in a range of 5-23 g C m -3 h -1 and at an empty bed residence time of 31 s for more than 50 days, with a goodness of fit of 0.84. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs

    Directory of Open Access Journals (Sweden)

    Ming Meng

    2017-03-01

    Full Text Available Industrial energy and environment efficiency evaluation become especially crucial as industrial sectors play a key role in CO2 emission reduction and energy consumption. This study adopts the additive range-adjusted measure data envelope analysis (RAM-DEA model to estimate the low-carbon economy efficiency of Chinese industrial sectors in 2001–2013. In addition, the CO2 emission intensity mitigation target for each industrial sector is assigned. Results show that, first, most sectors are not completely efficient, but they have experienced and have improved greatly during the period. These sectors can be divided into four categories, namely, mining, light, heavy, and electricity, gas, and water supply industries. The efficiency is diverse among the four industrial categories. The average efficiency of the light industry is the highest among the industries, followed by those of the mining and the electricity, gas, and water supply industries, and that of the heavy industry is the lowest. Second, the electricity, gas, and water supply industry shows the biggest potential for CO2 emission reduction, thus containing most of the sectors with large CO2 emission intensity mitigation targets (more than 45%, followed by the mining and the light industries. Therefore, the Chinese government should formulate diverse and flexible policy implementations according to the actual situation of the different sectors. Specifically, the sectors with low efficiency should be provided with additional policy support (such as technology and finance aids to improve their industrial efficiency, whereas the electricity, gas, and water supply industry should maximize CO2 emission reduction.

  1. E-waste Management and Refurbishment Prediction (EMARP) Model for Refurbishment Industries.

    Science.gov (United States)

    Resmi, N G; Fasila, K A

    2017-10-01

    This paper proposes a novel algorithm for establishing a standard methodology to manage and refurbish e-waste called E-waste Management And Refurbishment Prediction (EMARP), which can be adapted by refurbishing industries in order to improve their performance. Waste management, particularly, e-waste management is a serious issue nowadays. Computerization has been into waste management in different ways. Much of the computerization has happened in planning the waste collection, recycling and disposal process and also managing documents and reports related to waste management. This paper proposes a computerized model to make predictions for e-waste refurbishment. All possibilities for reusing the common components among the collected e-waste samples are predicted, thus minimizing the wastage. Simulation of the model has been done to analyse the accuracy in the predictions made by the system. The model can be scaled to accommodate the real-world scenario. Copyright © 2017 Elsevier Ltd. All rights reserved.

  2. Dynamic Modeling and Analysis of an Industrial Gas Suspension Absorber for Flue Gas Desulfurization

    DEFF Research Database (Denmark)

    Cignitti, Stefano; Mansouri, Seyed Soheil; Sales-Cruz, Mauricio

    2016-01-01

    parameters were fitted to operational data from a real cement plant. A detailed statistical analysis of the parameter estimation procedure was performed, and the confidence intervals for estimated kinetic parameters were calculated. The model and reaction rate expression prediction ability was tested using...... another plant data set. It was verified that in spite of the simplicity of the model, very good prediction of industrial behavior was obtained. Furthermore, the dynamic analysis of the system was performed by carrying out open-loop and closed-loop simulations to verify plant dynamics. Therefore, a simple...... dynamic model with a reaction rate expression that is simple and efficient to use to predict the dynamics of GSA process was proposed in this work....

  3. Modeling cooking of chicken meat in industrial tunnel ovens with the Flory-Rehner theory.

    Science.gov (United States)

    van der Sman, R G M

    2013-12-01

    In this paper we present a numerical model describing the heat and mass transport during the cooking of chicken meat in industrial tunnels. The mass transport is driven by gradients in the swelling pressure, which is described by the Flory-Rehner theory, which relates to the water holding capacity (WHC). For cooking temperatures up to boiling point and practical relevant cooking times, the model renders good prediction of heat and mass transport and the total loss of moisture. We have shown that for cooking temperatures above boiling point, the model has to be extended with the dynamic growth of capillary water (drip) channels. Furthermore, we discuss that the Flory-Rehner theory provides the proper physical basis for describing the change of the WHC by a wide variety of factors like salt and pH. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Modelling an industrial anaerobic granular reactor using a multi-scale approach

    DEFF Research Database (Denmark)

    Feldman, Hannah; Flores Alsina, Xavier; Ramin, Pedram

    2017-01-01

    The objective of this paper is to show the results of an industrial project dealing with modelling of anaerobic digesters. A multi-scale mathematical approach is developed to describe reactor hydrodynamics, granule growth/distribution and microbial competition/inhibition for substrate/space within...... the biofilm. The main biochemical and physico-chemical processes in the model are based on the Anaerobic Digestion Model No 1 (ADM1) extended with the fate of phosphorus (P), sulfur (S) and ethanol (Et-OH). Wastewater dynamic conditions are reproduced and data frequency increased using the Benchmark...... simulations show the effects on the overall process performance when operational (pH) and loading (S:COD) conditions are modified. Lastly, the effect of intra-granular precipitation on the overall organic/inorganic distribution is assessed at: 1) different times; and, 2) reactor heights. Finally...

  5. Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries.

    Directory of Open Access Journals (Sweden)

    Sang-Bing Tsai

    Full Text Available R&D professionals are the impetus behind technological innovation, and their competitiveness and capability drive the growth of a company. However, high-tech industries have a chronic shortage of such indispensable professionals. Accordingly, reducing R&D personnel turnover has become a major human resource management challenge facing innovative companies. This study combined importance-performance analysis (IPA with the decision-making trial and evaluation laboratory (DEMATEL method to propose an IPA-DEMATEL model. Establishing this model involved three steps. First, an IPA was conducted to measure the importance of and satisfaction gained from job satisfaction criteria. Second, the DEMATEL method was used to determine the causal relationships of and interactive influence among the criteria. Third, a criteria model was constructed to evaluate job satisfaction of high-tech R&D personnel. On the basis of the findings, managerial suggestions are proposed.

  6. Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries.

    Science.gov (United States)

    Tsai, Sang-Bing; Huang, Chih-Yao; Wang, Cheng-Kuang; Chen, Quan; Pan, Jingzhou; Wang, Ge; Wang, Jingan; Chin, Ta-Chia; Chang, Li-Chung

    2016-01-01

    R&D professionals are the impetus behind technological innovation, and their competitiveness and capability drive the growth of a company. However, high-tech industries have a chronic shortage of such indispensable professionals. Accordingly, reducing R&D personnel turnover has become a major human resource management challenge facing innovative companies. This study combined importance-performance analysis (IPA) with the decision-making trial and evaluation laboratory (DEMATEL) method to propose an IPA-DEMATEL model. Establishing this model involved three steps. First, an IPA was conducted to measure the importance of and satisfaction gained from job satisfaction criteria. Second, the DEMATEL method was used to determine the causal relationships of and interactive influence among the criteria. Third, a criteria model was constructed to evaluate job satisfaction of high-tech R&D personnel. On the basis of the findings, managerial suggestions are proposed.

  7. The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Youngsang; Lee, Jongsu; Kim, Tai-Yoo [Technology Management, Economics and Policy Program, College of Engineering, Seoul National University, Shillim-Dong San56-1, Gwanak-Ku, Seoul 151-742 (Korea)

    2007-09-15

    The authors investigate the effects of information and communications technology (ICT) investment, electricity price, and oil price on the consumption of electricity in South Korea's industries using a logistic growth model. The concept electricity intensity is used to explain electricity consumption patterns. An empirical analysis implies that ICT investment in manufacturing industries that normally consume relatively large amounts of electricity promotes input factor substitution away from the labor intensive to the electricity intensive. Moreover, results also suggest that ICT investment in some specific manufacturing sectors is conducive to the reduction of electricity consumption, whereas ICT investment in the service sector and most manufacturing sectors increases electricity consumption. It is concluded that electricity prices critically affect electricity consumption in half of South Korea's industrial sectors, but not in the other half, a finding that differs somewhat from previous research results. Reasons are suggested to explain why the South Korean case is so different. Policymakers may find this study useful, as it answers the question of whether ICT investment can ultimately reduce energy consumption and may aid in planning the capacity of South Korea's national electric power. (author)

  8. The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach

    International Nuclear Information System (INIS)

    Cho, Youngsang; Lee, Jongsu; Kim, Tai-Yoo

    2007-01-01

    The authors investigate the effects of information and communications technology (ICT) investment, electricity price, and oil price on the consumption of electricity in South Korea's industries using a logistic growth model. The concept electricity intensity is used to explain electricity consumption patterns. An empirical analysis implies that ICT investment in manufacturing industries that normally consume relatively large amounts of electricity promotes input factor substitution away from the labor intensive to the electricity intensive. Moreover, results also suggest that ICT investment in some specific manufacturing sectors is conducive to the reduction of electricity consumption, whereas ICT investment in the service sector and most manufacturing sectors increases electricity consumption. It is concluded that electricity prices critically affect electricity consumption in half of South Korea's industrial sectors, but not in the other half, a finding that differs somewhat from previous research results. Reasons are suggested to explain why the South Korean case is so different. Policymakers may find this study useful, as it answers the question of whether ICT investment can ultimately reduce energy consumption and may aid in planning the capacity of South Korea's national electric power. (author)

  9. Monetary Policy and Industrial Output in the BRICS Countries: A Markov-Switching Model

    Directory of Open Access Journals (Sweden)

    Kutu Adebayo Augustine

    2017-12-01

    Full Text Available This paper examines whether the five BRICS countries share similar business cycles and determines the probability of any of the countries moving from a contractionary regime to an expansionary regime. The study further examines the extent to which changes in monetary policy affect industrial output in expansions relative to contractions. Employing the Peersman and Smets (2001 Markov-Switching Model (MSM and monthly data from 1994.01–2013.12, the study reveals that the five BRICS countries have similar business cycles. The results further demonstrate that the BRICS countries’ business cycles are characterized by two distinct growth rate phases: a contractionary regime and an expansionary regime. It can also be observed that the area-wide monetary policy has significantly large effects on industrial output in recessions as well as in booms. It has also been established that there is a high probability of moving from state one (recession to state two (expansion and that on average, the probabilities of staying in state 2 (expansion are high for each of the five countries. It is, therefore, recommended that the BRICS countries should sustain uniform policy consistency (monetary policy, especially as they formulate and implement economic policies to stimulate industrial output.

  10. Modelling and Risk Management in the Offshore and Marine Industry Supply Chain

    Directory of Open Access Journals (Sweden)

    Carman Lee

    2012-03-01

    Full Text Available Supply chain risk management is primarily a process that involves the identification, assessment and mitigation of risks that arise in a particular supply chain system. Pertaining to that, the offshore and marine industry is one of the many industries that have seldom received much consideration when it comes to management of the supply chain system. The rig building facet of the offshore and marine industry was thus chosen as the main focus of the project to manage the risks that arise in a particular oil rig building project. A risk mitigation plan framework was proposed to act as a guideline to identify as much risk as possible, eliminate trivial ones, and subsequently, prioritizing the remaining ones. The final step involves the formulation of a mathematical model based on the selected risk. In this case, the risk of raw material price fluctuation is studied. The demonstration of the Monte Carlo simulation using the Risk Solver program was also done to quantify the risks. Two case scenarios were then developed along with the implementation of risk management techniques in order to observe the effectiveness of the risk management of the overall rig building supply chain.

  11. Heating hub and power hub models for optimal performance of an industrial consumer

    International Nuclear Information System (INIS)

    Soudmand, Behnam Maleki; Esfetanaj, Naser Nourani; Mehdipour, Soleiman; Rezaeipour, Roshanak

    2017-01-01

    Highlights: • Multi-objective framework is proposed for large industrial consumer. • Weighted sum method is used to solve the proposed multi-objective model. • Fuzzy satisfying technique is used to select the trade-off solution. • Demand response program is employed to reduce cost and emission of large consumer. - Abstract: In addition to economic objectives that has always been considered to be the first priority in the scheduling and planning of power systems, concerns over emission of greenhouse gases due to energy consumption of industrial consumers have made policy makers consider environmental issues in the scheduling of such systems. In this paper, a multi-objective framework has been proposed for environmental and economic performance of large consumer in the presence of demand response program (DRP). In order to solve proposed multi-objective model, weighted sum technique is employed and trade-off solution satisfying conflicting objective functions is selected using fuzzy satisfying approach. DRP is employed to shift load from peak periods to off-peak periods to reduce total operation cost and emission. In order to model the proposed problem, a mixed-integer linear program has been employed and GAMS software has been utilized to solve it. Different case studies have been studied and the results have been presented to validate the effectiveness of proposed methods.

  12. Leukaemia mortality in three UK nuclear industry workforces: comparison with the BEIR V model

    International Nuclear Information System (INIS)

    Carpenter, Lucy; Higgins, Craig; Douglas, Allison; Fraser, Patricia; Smith, Peter; Omar, Rumana; Beral, Valerie

    1995-01-01

    Our previous comparison of risk of death from leukaemia associated with external radiation dose in over 75000 UK nuclear industry workers with that for adult Japanese atomic bomb survivors reported by UNSCEAR in 1988, suggested that the estimated excess relative risk per Sv in the two populations was similar (ratio of risks = 1.1, 90% confidence interval +0.2 to +3.1). The further analysis described here, which compares leukaemia risk in the workers with that predicted by the linear term of the BEIR V model for leukaemia, resulted in a ratio of 1.3 (90% confidence interval -0.2 to +4.5). Leukaemia risk in this population of nuclear industry workers is therefore consistent with that predicted by the BEIR V model. That our data are also compatible with risks from zero to around five times those predicted by this model demonstrates that even a very substantial occupational cohort such as ours can provide only a limited amount of information about the magnitude of leukaemia risks in adults exposed to low doses of external radiation relative to those exposed to high doses and high dose rates. (author)

  13. Study on an ISO 15926 based data modeling methodology for nuclear power industry

    Energy Technology Data Exchange (ETDEWEB)

    Cheon, Yang Ho; Park, Byeong Ho; Park, Seong Chan; Kim, Eun Kee [KEPCO E-C, Yongin (Korea, Republic of)

    2014-10-15

    The scope is therefore data integration and data to support the whole life of a plant. This representation is specified by a generic, conceptual Data Model (DM) that is independent of any particular application, but that is able to record data from the applications used in plant design, fabrication and operation. The data model is designed to be used in conjunction with Reference Data (RD): standard instances of the DM that represent information common to a number of users, plants, or both. This paper introduces a high level description of the structure of ISO 15926 and how this can be adapted to the nuclear power plant industry in particular. This paper introduces ISO 15926 methodology and how to extend the existing RDL for nuclear power industry. As the ISO 15926 representation is independent of applications, interfaces to existing or future applications have to be developed. Such interfaces are provided by Templates that takes input from external sources and 'lifts' it into an ISO 15926 repository, and/or 'lowers' the data into other applications. This is a similar process to the process defined by W3C. Data exchange can be done using e.g. XML messages, but the modelling is independent of technology used for the exchange.

  14. Applying Data Envelopment Analysis and Grey Model for the Productivity Evaluation of Vietnamese Agroforestry Industry

    Directory of Open Access Journals (Sweden)

    Chia-Nan Wang

    2016-11-01

    Full Text Available Agriculture and forestry play important roles in Vietnam, particularly as they contribute to the creation of food, conservation of forest resources, and improvement of soil fertility. Therefore, understanding the performances of relevant enterprises in this field contributes to the sustainable development of this country’s agroforestry industry. This research proposes a hybrid model, which includes a grey model (GM and a Malmquist productivity index (MPI, to assess the performances of Vietnamese agroforestry enterprises over several time periods. After collecting the data of selected input and output variables for 10 Vietnam agroforestry enterprises in the period of 2011–2014, GM is used to forecast the future values of these input and output variables for the 10 agroforestry enterprises in 2015 and 2016. Following the results of GM, the MPI is used to measure the performance of these enterprises. The MPI scores showed some enterprises will become more efficient, while others will become less efficient. The proposed model gives past–present–future insights in order for decision-makers to sustain agroforestry development in Vietnam. This hybrid approach can be applied to performance analysis of other industries as well.

  15. Validation and implementation of model based control strategies at an industrial wastewater treatment plant.

    Science.gov (United States)

    Demey, D; Vanderhaegen, B; Vanhooren, H; Liessens, J; Van Eyck, L; Hopkins, L; Vanrolleghem, P A

    2001-01-01

    In this paper, the practical implementation and validation of advanced control strategies, designed using model based techniques, at an industrial wastewater treatment plant is demonstrated. The plant under study is treating the wastewater of a large pharmaceutical production facility. The process characteristics of the wastewater treatment were quantified by means of tracer tests, intensive measurement campaigns and the use of on-line sensors. In parallel, a dynamical model of the complete wastewater plant was developed according to the specific kinetic characteristics of the sludge and the highly varying composition of the industrial wastewater. Based on real-time data and dynamic models, control strategies for the equalisation system, the polymer dosing and phosphorus addition were established. The control strategies are being integrated in the existing SCADA system combining traditional PLC technology with robust PC based control calculations. The use of intelligent control in wastewater treatment offers a wide spectrum of possibilities to upgrade existing plants, to increase the capacity of the plant and to eliminate peaks. This can result in a more stable and secure overall performance and, finally, in cost savings. The use of on-line sensors has a potential not only for monitoring concentrations, but also for manipulating flows and concentrations. This way the performance of the plant can be secured.

  16. Real-time slicing algorithm for Stereolithography (STL) CAD model applied in additive manufacturing industry

    Science.gov (United States)

    Adnan, F. A.; Romlay, F. R. M.; Shafiq, M.

    2018-04-01

    Owing to the advent of the industrial revolution 4.0, the need for further evaluating processes applied in the additive manufacturing application particularly the computational process for slicing is non-trivial. This paper evaluates a real-time slicing algorithm for slicing an STL formatted computer-aided design (CAD). A line-plane intersection equation was applied to perform the slicing procedure at any given height. The application of this algorithm has found to provide a better computational time regardless the number of facet in the STL model. The performance of this algorithm is evaluated by comparing the results of the computational time for different geometry.

  17. A fuzzy MCDM model with objective and subjective weights for evaluating service quality in hotel industries

    Science.gov (United States)

    Zoraghi, Nima; Amiri, Maghsoud; Talebi, Golnaz; Zowghi, Mahdi

    2013-12-01

    This paper presents a fuzzy multi-criteria decision-making (FMCDM) model by integrating both subjective and objective weights for ranking and evaluating the service quality in hotels. The objective method selects weights of criteria through mathematical calculation, while the subjective method uses judgments of decision makers. In this paper, we use a combination of weights obtained by both approaches in evaluating service quality in hotel industries. A real case study that considered ranking five hotels is illustrated. Examples are shown to indicate capabilities of the proposed method.

  18. Performance Measurement Model for the Consumer Industry Listed on Indonesia Stock Exchange: DEA and SFA Approaches

    Directory of Open Access Journals (Sweden)

    T.Handono Eko Prabowo

    2014-08-01

    Full Text Available This  research  attempts  to  provide  performance  measurement  model  for  the  consumer industry listed on Indonesia Stock Exchange (IDX by  using the data envelopment analysis (DEA and the stochastic frontier analysis (SFA. There were 36 panel irms analyzed over the period of 2000-2005 or 216 pooled observations. The output variable was total sales and input variables were labor, inventory, ixed assets and capital. Z-variables are age of the irm, size  of  the  irm,  market  share  and  time  period.  Empirical  indings  reveal  that  the  average technical  eficiency  (mean  TE  for  consumer  industry  was  0.6630.  The  study  indicates  the existence of output slacks (output deicits and input slacks (input wastages in the consumer industry's  operation.  The  study  also  shows  that  the  joint  effect  of  four  z-variables  on  the technical  ineficiencies  of  the  consumer  industry  was  signiicant  although  the  individual effects of one or more variables might not be statistically signiicant. ";} // -->activate javascript

  19. Simulated pre-industrial climate in Bergen Climate Model (version 2: model description and large-scale circulation features

    Directory of Open Access Journals (Sweden)

    O. H. Otterå

    2009-11-01

    Full Text Available The Bergen Climate Model (BCM is a fully-coupled atmosphere-ocean-sea-ice model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate. Here, a pre-industrial multi-century simulation with an updated version of BCM is described and compared to observational data. The model is run without any form of flux adjustments and is stable for several centuries. The simulated climate reproduces the general large-scale circulation in the atmosphere reasonably well, except for a positive bias in the high latitude sea level pressure distribution. Also, by introducing an updated turbulence scheme in the atmosphere model a persistent cold bias has been eliminated. For the ocean part, the model drifts in sea surface temperatures and salinities are considerably reduced compared to earlier versions of BCM. Improved conservation properties in the ocean model have contributed to this. Furthermore, by choosing a reference pressure at 2000 m and including thermobaric effects in the ocean model, a more realistic meridional overturning circulation is simulated in the Atlantic Ocean. The simulated sea-ice extent in the Northern Hemisphere is in general agreement with observational data except for summer where the extent is somewhat underestimated. In the Southern Hemisphere, large negative biases are found in the simulated sea-ice extent. This is partly related to problems with the mixed layer parametrization, causing the mixed layer in the Southern Ocean to be too deep, which in turn makes it hard to maintain a realistic sea-ice cover here. However, despite some problematic issues, the pre-industrial control simulation presented here should still be appropriate for climate change studies requiring multi-century simulations.

  20. Automated Modeling and Simulation Using the Bond Graph Method for the Aerospace Industry

    Science.gov (United States)

    Granda, Jose J.; Montgomery, Raymond C.

    2003-01-01

    Bond graph modeling was originally developed in the late 1950s by the late Prof. Henry M. Paynter of M.I.T. Prof. Paynter acted well before his time as the main advantage of his creation, other than the modeling insight that it provides and the ability of effectively dealing with Mechatronics, came into fruition only with the recent advent of modern computer technology and the tools derived as a result of it, including symbolic manipulation, MATLAB, and SIMULINK and the Computer Aided Modeling Program (CAMPG). Thus, only recently have these tools been available allowing one to fully utilize the advantages that the bond graph method has to offer. The purpose of this paper is to help fill the knowledge void concerning its use of bond graphs in the aerospace industry. The paper first presents simple examples to serve as a tutorial on bond graphs for those not familiar with the technique. The reader is given the basic understanding needed to appreciate the applications that follow. After that, several aerospace applications are developed such as modeling of an arresting system for aircraft carrier landings, suspension models used for landing gears and multibody dynamics. The paper presents also an update on NASA's progress in modeling the International Space Station (ISS) using bond graph techniques, and an advanced actuation system utilizing shape memory alloys. The later covers the Mechatronics advantages of the bond graph method, applications that simultaneously involves mechanical, hydraulic, thermal, and electrical subsystem modeling.

  1. Strategic planning model for Startups: A case study of Iranian packaging industry

    Directory of Open Access Journals (Sweden)

    Mohammad Mahdavi Mazdeh

    2011-04-01

    Full Text Available In today’s turbulent and competitive world, strategic planning plays an important role for the success of firms. Despite the fact that there are literally numerous models proposed for different companies in various states and structures, the possibility of using strategic planning for startups has never been seriously considered. In this paper, we present a survey by asking experts to find out whether strategic planning is suitable for startups. We also propose a model for strategic planning in startups based on the strategic planning models for small businesses and entrepreneurship concepts. The model is similar to other models and what differentiates this models form other approaches is the methodology used for internal and external analysis and the parameters taken into consideration. The proposed model is examined on an Iranian food packaging industry for validation. The preliminary results indicate that the success of startups depends on two sets of parameters: “entrepreneurial opportunities” and “competitive advantages and entrepreneurial characteristics”.

  2. Business model in marketplace industry using business model canvas approach: An e-commerce case study

    Science.gov (United States)

    Erlyana, Yana; Hartono, Henny

    2017-12-01

    The advancement of technology has huge impact on commerce world, especially in the marketplace that has shifted from brick-and-mortar to digital/online marketplace. Grasping the opportunity, ABC joined venture with DEF to create a new online venture namely XYZ Online Shop - an e-commerce website that has large segmentations. The objective of this research is to analyze the business model conducted by XYZ Online Shop by utilizing Business Model Canvas Framework and SWOT analysis. The results obtained from the research are that the business model conducted by XYZ Online Shop excels in customer relationship block and still needs to improve key partner and key activities blocks. Business Model Canvas along with SWOT analysis describes how XYZ Online Shop creates, delivers, and captures value based on its internal and external environments.

  3. neural network based model o work based model of an industrial oil

    African Journals Online (AJOL)

    eobe

    technique. g, Neural Network Model, Regression, Mean Square Error, PID controller. ... during the training processes. An additio ... used to carry out simulation studies of the mode .... A two-layer feed-forward neural network with Matlab.

  4. An integrated continuous improvement model of TPM, TPS and TQM for boosting profitability of manufacturing industries: An innovative model & guideline

    Directory of Open Access Journals (Sweden)

    Haftu Hailu

    2018-01-01

    Full Text Available The purpose of this research is to develop an integrated literature based TPM, TPS and TQM mod-el through PDCA cycle, and implementation guideline for the implementation of the model. At this time very few studies are available on this research area, even this research on integrated model of TPM, TPS and TQM practices, and implementation guideline are not corresponding. The method-ology to develop the model and the implementation guideline is based on identifying the uniqueness and common practices of TPM, TPS and TQM systems, existing practice of the integration and implementation guideline, identifying the existing gaps on the model and implementation guideline, developing new integrated TPM, TPS and TQM practice model, and implementation guideline. Previous very few studies of uniqueness, common practices and implementation guideline of the three systems are preserved. The findings of this research, an integrated cutting-edge model of TPM, TPS and TQM practices and implementation guidelines are developed. The originality / value of the developed model and implementation guideline enable manufacturing industries continuously to be competitive and profitable.

  5. Energy price slump and policy response in the coal-chemical industry district : a case study of Ordos with a system dynamics model

    OpenAIRE

    Wang, Delu; Ma, Gang; Song, Xuefeng; Liu, Yun

    2017-01-01

    We employ system dynamics method towards a coal-chemical industry district economy evolution model, using coal industry, the coal-chemical industry, their downstream industries, and the manufacture-related service industry. Moreover, we construct energy price and policy response scenarios based on Ordos’ management experience. The results show that the energy price slump had a negative impact on the overall economic development of the coal-chemical industry district, despite promoting non-res...

  6. Job stress models, depressive disorders and work performance of engineers in microelectronics industry.

    Science.gov (United States)

    Chen, Sung-Wei; Wang, Po-Chuan; Hsin, Ping-Lung; Oates, Anthony; Sun, I-Wen; Liu, Shen-Ing

    2011-01-01

    Microelectronic engineers are considered valuable human capital contributing significantly toward economic development, but they may encounter stressful work conditions in the context of a globalized industry. The study aims at identifying risk factors of depressive disorders primarily based on job stress models, the Demand-Control-Support and Effort-Reward Imbalance models, and at evaluating whether depressive disorders impair work performance in microelectronics engineers in Taiwan. The case-control study was conducted among 678 microelectronics engineers, 452 controls and 226 cases with depressive disorders which were defined by a score 17 or more on the Beck Depression Inventory and a psychiatrist's diagnosis. The self-administered questionnaires included the Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, demography, psychosocial factors, health behaviors and work performance. Hierarchical logistic regression was applied to identify risk factors of depressive disorders. Multivariate linear regressions were used to determine factors affecting work performance. By hierarchical logistic regression, risk factors of depressive disorders are high demands, low work social support, high effort/reward ratio and low frequency of physical exercise. Combining the two job stress models may have better predictive power for depressive disorders than adopting either model alone. Three multivariate linear regressions provide similar results indicating that depressive disorders are associated with impaired work performance in terms of absence, role limitation and social functioning limitation. The results may provide insight into the applicability of job stress models in a globalized high-tech industry considerably focused in non-Western countries, and the design of workplace preventive strategies for depressive disorders in Asian electronics engineering population.

  7. Assessing risk to birds from industrial wind energy development via paired resource selection models.

    Science.gov (United States)

    Miller, Tricia A; Brooks, Robert P; Lanzone, Michael; Brandes, David; Cooper, Jeff; O'Malley, Kieran; Maisonneuve, Charles; Tremblay, Junior; Duerr, Adam; Katzner, Todd

    2014-06-01

    When wildlife habitat overlaps with industrial development animals may be harmed. Because wildlife and people select resources to maximize biological fitness and economic return, respectively, we estimated risk, the probability of eagles encountering and being affected by turbines, by overlaying models of resource selection for each entity. This conceptual framework can be applied across multiple spatial scales to understand and mitigate impacts of industry on wildlife. We estimated risk to Golden Eagles (Aquila chrysaetos) from wind energy development in 3 topographically distinct regions of the central Appalachian Mountains of Pennsylvania (United States) based on models of resource selection of wind facilities (n = 43) and of northbound migrating eagles (n = 30). Risk to eagles from wind energy was greatest in the Ridge and Valley region; all 24 eagles that passed through that region used the highest risk landscapes at least once during low altitude flight. In contrast, only half of the birds that entered the Allegheny Plateau region used highest risk landscapes and none did in the Allegheny Mountains. Likewise, in the Allegheny Mountains, the majority of wind turbines (56%) were situated in poor eagle habitat; thus, risk to eagles is lower there than in the Ridge and Valley, where only 1% of turbines are in poor eagle habitat. Risk within individual facilities was extremely variable; on average, facilities had 11% (SD 23; range = 0-100%) of turbines in highest risk landscapes and 26% (SD 30; range = 0-85%) of turbines in the lowest risk landscapes. Our results provide a mechanism for relocating high-risk turbines, and they show the feasibility of this novel and highly adaptable framework for managing risk of harm to wildlife from industrial development. © 2014 Society for Conservation Biology.

  8. Establishing credibility in the environmental models used for safety and licensing calculations in the nuclear industry

    International Nuclear Information System (INIS)

    Davis, P.A.

    1997-01-01

    Models that simulate the transport and behaviour of radionuclides in the environment are used extensively in the nuclear industry for safety and licensing purposes. They are needed to calculate derived release limits for new and operating facilities, to estimate consequences following hypothetical accidents and to help manage a real emergency. But predictions generated for these purposes are essentially meaningless unless they are accompanied by a quantitative estimate of the confidence that can be placed in them. For example, in an emergency where there has been an accidental release of radioactivity to the atmosphere, decisions based on a validated model with small uncertainties would likely be very different from those based on an untested model, or on one with large uncertainties. This paper begins with a discussion of some general methods for establishing the credibility of model predictions. The focus will be on environmental transport models but the principles apply to models of all kinds. Establishing the credibility of a model is not a trivial task, It involves a number of tasks including face validation, verification, experimental validation and sensitivity and uncertainty analyses. The remainder of the paper will present quantitative results relating to the credibility of environmental transport models. Model formation, choice of parameter values and the influence of the user will all be discussed as sources of uncertainty in predictions. The magnitude of uncertainties that must be expected in various applications of the models will be presented. The examples used throughout the paper are drawn largely from recent work carried out in BIOMOVS and VAMP. (DM)

  9. Model Recommended Values of Corporate Culture for Industrial Companies in Slovak Republic

    Directory of Open Access Journals (Sweden)

    Urbanovičová Petra

    2017-09-01

    Full Text Available The main objective of the paper is to describe the recommended values model of corporate culture and supporting business performance for industrial companies operating in the Slovak Republic. This model was developed on the basis of research results within the STU Project to support young researchers entitled “Changing the potential of the company´s success using the principles of spiral management and its impact on corporate culture”. The current paper is a part of submitted VEGA project No.1/0348/17 “The impact of the coexistence of different generations of employees on the sustainable performance of organisations”. This model will be the basis for defining corporate values and developing or changing corporate culture for the companies operating on or coming (from abroad to the Slovak market. The characteristic features of the value model are simplicity, complexity and applicability. This model takes into account the current situation on the Slovak market. The values of this model have a different level of significance given and each value is defined by the specified principles.

  10. Model Recommended Values of Corporate Culture for Industrial Companies in Slovak Republic

    Science.gov (United States)

    Urbanovičová, Petra; Mikulášková, Justína; Čambál, Miloš

    2017-09-01

    The main objective of the paper is to describe the recommended values model of corporate culture and supporting business performance for industrial companies operating in the Slovak Republic. This model was developed on the basis of research results within the STU Project to support young researchers entitled "Changing the potential of the companýs success using the principles of spiral management and its impact on corporate culture". The current paper is a part of submitted VEGA project No.1/0348/17 "The impact of the coexistence of different generations of employees on the sustainable performance of organisations". This model will be the basis for defining corporate values and developing or changing corporate culture for the companies operating on or coming (from abroad) to the Slovak market. The characteristic features of the value model are simplicity, complexity and applicability. This model takes into account the current situation on the Slovak market. The values of this model have a different level of significance given and each value is defined by the specified principles.

  11. Industrial point source CO2 emission strength estimation with aircraft measurements and dispersion modelling.

    Science.gov (United States)

    Carotenuto, Federico; Gualtieri, Giovanni; Miglietta, Franco; Riccio, Angelo; Toscano, Piero; Wohlfahrt, Georg; Gioli, Beniamino

    2018-02-22

    CO 2 remains the greenhouse gas that contributes most to anthropogenic global warming, and the evaluation of its emissions is of major interest to both research and regulatory purposes. Emission inventories generally provide quite reliable estimates of CO 2 emissions. However, because of intrinsic uncertainties associated with these estimates, it is of great importance to validate emission inventories against independent estimates. This paper describes an integrated approach combining aircraft measurements and a puff dispersion modelling framework by considering a CO 2 industrial point source, located in Biganos, France. CO 2 density measurements were obtained by applying the mass balance method, while CO 2 emission estimates were derived by implementing the CALMET/CALPUFF model chain. For the latter, three meteorological initializations were used: (i) WRF-modelled outputs initialized by ECMWF reanalyses; (ii) WRF-modelled outputs initialized by CFSR reanalyses and (iii) local in situ observations. Governmental inventorial data were used as reference for all applications. The strengths and weaknesses of the different approaches and how they affect emission estimation uncertainty were investigated. The mass balance based on aircraft measurements was quite succesful in capturing the point source emission strength (at worst with a 16% bias), while the accuracy of the dispersion modelling, markedly when using ECMWF initialization through the WRF model, was only slightly lower (estimation with an 18% bias). The analysis will help in highlighting some methodological best practices that can be used as guidelines for future experiments.

  12. Model-centered approach to early planning and design of an eco-industrial park around an oil refinery.

    Science.gov (United States)

    Zhang, Xiangping; Strømman, Anders H; Solli, Christian; Hertwich, Edgar G

    2008-07-01

    Industrial symbiosis promises environmental and economic gains through a utilization of the waste of some processes as a resource for other processes. Because of the costs and difficulties of transporting some wastes, the largest theoretical potential for industrial symbiosis is given when facilities are colocated in an eco-industrial park (EIP). This study proposes a model-centered approach with an eight-step procedure for the early planning and design of an eco-industrial park considering technical and environmental factors. Chemical process simulation software was used to model the energy and material flows among the prospective members and to quantify the benefits of integration among different firms in terms of energy and resources saved as compared to a reference situation. Process simulation was based on a combination of physical models of industrial processes and empirical models. The modeling allows for the development and evaluation of different collaboration opportunities and configurations. It also enables testing chosen configurations under hypothetical situations or external conditions. We present a case study around an existing oil and gas refinery in Mongstad, Norway. We used the approach to propose the colocation of a number of industrial facilities around the refinery, focused on integrating energy use among the facilities. An EIP with six main members was designed and simulated, matching new hypothetical members in size to the existing operations, modeling material and energy flows in the EIP, and assessing these in terms of carbon and hydrogen flows.

  13. Intellectual Capital in Enterprises and a Model Study in an Industrial Zone

    Directory of Open Access Journals (Sweden)

    Selcuk Kendirli

    2014-09-01

    Full Text Available Intellectual Capital in Enterprises and a Model Study in an Industrial Zone   Abstract The study mainly consists of two parts. The first part includes theoretical knowledge, the second part includes application-oriented information. In the theoretical part of the study, intellectual capital and SMEs are emphasized in general. In the application-oriented part of the study, a field research will be done for Corum SME. In this study, the demographic structure of Corum SMEs, intellectual capital structure and financial performance of this structure will be evaluated. The resulting data will be analyzed in this context. The businesses operating in the Organized Industrial Zone of Corum and those matching the definition of SME will be considered within the research scope. Surveys will be applied by interviewers face to face and each survey will be evaluated individually. After the evaluation, a model will be proposed. The aim of our study is to investigate the relationship between components of intellectual capital in SMEs and business performance. For this reason, a survey will be conducted for SMEs. Since the results of the study will be shared with scientific circles and the public, they will prove to be guiding for Çorum SMEs.

  14. Modeling and Computation of Transboundary Industrial Pollution with Emission Permits Trading by Stochastic Differential Game.

    Science.gov (United States)

    Chang, Shuhua; Wang, Xinyu; Wang, Zheng

    2015-01-01

    Transboundary industrial pollution requires international actions to control its formation and effects. In this paper, we present a stochastic differential game to model the transboundary industrial pollution problems with emission permits trading. More generally, the process of emission permits price is assumed to be stochastic and to follow a geometric Brownian motion (GBM). We make use of stochastic optimal control theory to derive the system of Hamilton-Jacobi-Bellman (HJB) equations satisfied by the value functions for the cooperative and the noncooperative games, respectively, and then propose a so-called fitted finite volume method to solve it. The efficiency and the usefulness of this method are illustrated by the numerical experiments. The two regions' cooperative and noncooperative optimal emission paths, which maximize the regions' discounted streams of the net revenues, together with the value functions, are obtained. Additionally, we can also obtain the threshold conditions for the two regions to decide whether they cooperate or not in different cases. The effects of parameters in the established model on the results have been also examined. All the results demonstrate that the stochastic emission permits prices can motivate the players to make more flexible strategic decisions in the games.

  15. A Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem

    Directory of Open Access Journals (Sweden)

    Omid Boyer

    2013-01-01

    Full Text Available Technology progress is a cause of industrial hazardous wastes increasing in the whole world . Management of hazardous waste is a significant issue due to the imposed risk on environment and human life. This risk can be a result of location of undesirable facilities and also routing hazardous waste. In this paper a biobjective mixed integer programing model for location-routing industrial hazardous waste with two objectives is developed. First objective is total cost minimization including transportation cost, operation cost, initial investment cost, and cost saving from selling recycled waste. Second objective is minimization of transportation risk. Risk of population exposure within bandwidth along route is used to measure transportation risk. This model can help decision makers to locate treatment, recycling, and disposal centers simultaneously and also to route waste between these facilities considering risk and cost criteria. The results of the solved problem prove conflict between two objectives. Hence, it is possible to decrease the cost value by marginally increasing the transportation risk value and vice versa. A weighted sum method is utilized to combine two objectives function into one objective function. To solve the problem GAMS software with CPLEX solver is used. The problem is applied in Markazi province in Iran.

  16. Modeling of 226Ra behavior in a Spanish estuary affected by the phosphate industry

    International Nuclear Information System (INIS)

    Perianez, R.; Absi, A.; Manjon, G.; Villa, M.; Moreno, H.P.

    2007-01-01

    The Odiel and Tinto rivers, southwest Spain, form a fully mixed estuary. An industrial area that includes a complex dedicated to the production of phosphate fertilizers is located by the Odiel River. This complex released phosphogypsum wastes directly to the Odiel River and also disposed them on open air piles located by the Tinto River. Due to new EU regulations, wastes are not directly released to the Odiel from 1998 on, although they are still disposed on the open air piles. The behavior of 226 Ra in a system like this estuary is complex, since radionuclides are affected by tidal actions and interactions with sediments through adsorption/desorption reactions and erosion/deposition processes. A numerical 2D depth-averaged model of the estuary has been developed, including processes mentioned above. It has been applied to reproduce experimental data measured after a release from the industrial complex in the Odiel River and after an accidental release in the Tinto River from the gypsum piles. The model has also been applied to simulate the self-cleaning process observed in the estuary after the direct releases from the fertilizer complex were stopped. (author)

  17. Developing a quality by design approach to model tablet dissolution testing: an industrial case study.

    Science.gov (United States)

    Yekpe, Ketsia; Abatzoglou, Nicolas; Bataille, Bernard; Gosselin, Ryan; Sharkawi, Tahmer; Simard, Jean-Sébastien; Cournoyer, Antoine

    2017-11-02

    This study applied the concept of Quality by Design (QbD) to tablet dissolution. Its goal was to propose a quality control strategy to model dissolution testing of solid oral dose products according to International Conference on Harmonization guidelines. The methodology involved the following three steps: (1) a risk analysis to identify the material- and process-related parameters impacting the critical quality attributes of dissolution testing, (2) an experimental design to evaluate the influence of design factors (attributes and parameters selected by risk analysis) on dissolution testing, and (3) an investigation of the relationship between design factors and dissolution profiles. Results show that (a) in the case studied, the two parameters impacting dissolution kinetics are active pharmaceutical ingredient particle size distributions and tablet hardness and (b) these two parameters could be monitored with PAT tools to predict dissolution profiles. Moreover, based on the results obtained, modeling dissolution is possible. The practicality and effectiveness of the QbD approach were demonstrated through this industrial case study. Implementing such an approach systematically in industrial pharmaceutical production would reduce the need for tablet dissolution testing.

  18. Customizing Standard Software as a Business Model in the IT Industry

    DEFF Research Database (Denmark)

    Kautz, Karlheinz; Rab, Sameen M.; Sinnet, Michael

    2011-01-01

    This research studies a new business model in the IT industry, the customization of standard software as the sole foundation for a software company’s earnings. Based on a theoretical background which combines the concepts of inter-organizational networks and open innovation we provide an interpre......This research studies a new business model in the IT industry, the customization of standard software as the sole foundation for a software company’s earnings. Based on a theoretical background which combines the concepts of inter-organizational networks and open innovation we provide...... an interpretive case study of a small software company which customizes a standard product. We investigate the company’s interactions with a large global software company which is the producer of the original software product and with other companies which are involved in the software customization process. We...... primarily on complex, formal partnerships, in which also opportunistic behavior occurs and where informal relations are invaluable sources of knowledge. In addition, the original software producer’s view and treatment of these companies has a vital impact on the customizing company’s practice which...

  19. The use of VMI to manage inventory in the Brazilian footwear industry: developing a model

    Directory of Open Access Journals (Sweden)

    Paulo Renato de Sousa

    2017-03-01

    Full Text Available This study aims to offer a model to apply the VMI to manage purchasing and inventory in the Brazilian footwear industry as this industry’s is inserted in a rising product diversity environment, with shorter product lifecycle while facing heavy, international competitive pressures. The model that is being proposed is also related to establishing minimum inventory levels and the ideal inventory replenishment cycle for industrial operations, and it also classifies materials according to their financial impact and to how critical their provision is. This research, which is defined as an exploratory and qualitative one, addresses a case study of a Brazilian footwear company to gather fundamental information associated with operations history, strategic operational characteristics in the purchasing area, and purchasing management systems, all performed by means of an in-depth interview. When data was analyzed, it showed that among the various materials used by a footwear company, the use of VMI would be needed for materials that were classified as being non-critical components and competitive components, that is, those with a low degree of uncertainty regarding to offer and both high and low financial impact, respectively.

  20. Critical success factors model developing for sustainable Kaizen implementation in manufactur-ing industry in Ethiopia

    Directory of Open Access Journals (Sweden)

    Haftu Hailu

    2017-12-01

    Full Text Available The purpose of the research is to identify critical success factors and model developing for sustaining kaizen implementation. Peacock shoe is one of the manufacturing industries in Ethiopia facing challenges on sustaining. The methodology followed is factor analysis and empirically testing hypothesis. A database was designed using SPSS version 20. The survey was validated using statistical validation using the Cronbach alpha index; the result is 0.908. The KMO index value was obtained for the 32 items and had a value of 0.642 with Bartlett's Test of Sphericity Approx. Chi-Square 4503.007, degree of freedom 496 and significance value 0.000. A factor analysis by principal components and varimax rotation was applied for finding the critical success factors. Finding designates that 32 items were merged into eight critical success factors. All the eight factors together explain for 76.941 % of the variance. Multiple regression model analysis has indicated that some of the critical success factors had relationship with success indicators. Due to constraint of time, the researcher focused only at peacock shoe manufacturing industry. Other limitation also includes the absence of any local research that shows the critical success factors at the moment.

  1. Modeling and Computation of Transboundary Industrial Pollution with Emission Permits Trading by Stochastic Differential Game.

    Directory of Open Access Journals (Sweden)

    Shuhua Chang

    Full Text Available Transboundary industrial pollution requires international actions to control its formation and effects. In this paper, we present a stochastic differential game to model the transboundary industrial pollution problems with emission permits trading. More generally, the process of emission permits price is assumed to be stochastic and to follow a geometric Brownian motion (GBM. We make use of stochastic optimal control theory to derive the system of Hamilton-Jacobi-Bellman (HJB equations satisfied by the value functions for the cooperative and the noncooperative games, respectively, and then propose a so-called fitted finite volume method to solve it. The efficiency and the usefulness of this method are illustrated by the numerical experiments. The two regions' cooperative and noncooperative optimal emission paths, which maximize the regions' discounted streams of the net revenues, together with the value functions, are obtained. Additionally, we can also obtain the threshold conditions for the two regions to decide whether they cooperate or not in different cases. The effects of parameters in the established model on the results have been also examined. All the results demonstrate that the stochastic emission permits prices can motivate the players to make more flexible strategic decisions in the games.

  2. An Integrative Model of the Strategic Management Accounting at the Enterprises of Chemical Industry

    Directory of Open Access Journals (Sweden)

    Aleksandra Vasilyevna Glushchenko

    2016-06-01

    Full Text Available Currently, the issues of information and analytical support of strategic management enabling to take timely and high-quality management decisions, are extremely relevant. Conflicting and poor information, haphazard collected in the practice of large companies from unreliable sources, affects the effective implementation of their development strategies and carries the threat of risk, by the increasing instability of the external environment. Thus chemical industry is one of the central places in the industry of Russia and, of course, has its specificity in the formation of the informationsupport system. Such an information system suitable for the development and implementation of strategic directions, changes in recognized competitive advantages of strategic management accounting. The issues of the lack of requirements for strategic accounting information, its inconsistency in the result of simultaneous accumulation in different parts and using different methods of calculation and assessment of indicators is impossible without a well-constructed model of organization of strategic management accounting. The purpose of this study is to develop such a model, the implementation of which will allow realizing the possibility of achieving strategic goals by harmonizing information from the individual objects of the strategic account to increase the functional effectiveness of management decisions with a focus on strategy. Case study was based on dialectical logic and methods of system analysis, and identifying causal relationships in building a model of strategic management accounting that contributes to the forecasts of its development. The study proposed to implement an integrative model of organization of strategic management accounting. The purpose of a phased implementation of this model defines the objects and tools of strategic management accounting. Moreover, it is determined that from the point of view of increasing the usefulness of management

  3. A Knowledge Management Model for Firms in the Financial Services Industry

    Science.gov (United States)

    Held, Carsten; Duncan, Glen; Yanamandram, Venkat

    2013-01-01

    The financial services industry faces many demanding challenges. Firms within this industry are predominantly knowledge-based, as are most of the industry's products, processes and services. The application of knowledge management represents a clear opportunity for financial services firms to confront challenges. However, no industry specific…

  4. DEVELOPMENT OF MATHEMATICAL MODELS FOR OPTIMAL PREVENTIVE MAINTENANCE POLICY IN A STEEL INDUSTRY : SIX SIGMA APPROACH

    Directory of Open Access Journals (Sweden)

    N. V. R. Naidu

    2011-09-01

    Full Text Available This paper deals with a critical evaluation of the Preventive Maintenance system in steel industry. This study helps in implementing Six Sigma solutions to reduce the down time of two critical machines i.e., Electric Arc Furnace (EAF and Billet Casting Machine (BCM. It is clear from the analysis of EAF and BCM respectively that, variations in output are quite possible because the machines output not only depend on maintenance time but also on several other variables. Further, the objective is to design a preventive maintenance programme on the same equipment situated in the plant using Six Sigma. The breakdown of these equipments could very well affect the production rate. For this, the mathematical models have been developed and these models are used to obtain the optimum preventive maintenance frequency for minimizing the down time and maximizing the profits.

  5. Production optimisation in the petrochemical industry by hierarchical multivariate modelling. Phase 2: On-line implementation

    Energy Technology Data Exchange (ETDEWEB)

    Nilsson, Aasa; Persson, Fredrik; Andersson, Magnus

    2009-07-15

    IVL, together with Emerson Process Management, has developed a decision support system (DSS) based on multivariate statistical process models. The system was implemented at Nynas AB's refinery in order to provide real-time TBP curves and to enable the operator to optimise the process with regards to product quality and energy consumption. The project resulted in the following proven benefits at the industrial reference site, Nynas Refinery in Gothenburg: - Increased yield with up to 14 % (relative terms) for the most valuable product - Decreased energy consumption of 8 %. Validation of model predictions compared to the laboratory analysis showed that the prediction error lay within 1 deg C throughout the whole test period

  6. Measuring the performance of business model configurations: A field study from the medico tech industry

    DEFF Research Database (Denmark)

    Thomsen, Peter; Nielsen, Christian; Lund, Morten

    . Findings – Our findings illustrate the process of translating business models to KPIs. This is achieved by translating the identified business model configuration to a set of value drivers that are then translated to KPIs. Our data illustrates difficulties in narrowing down the amount of KPIs...... to a reasonable amount and how applying the main storyline and focusing on key value drivers are mechanisms that support this process. Research limitations/implications – This study explores the notions of linking KPIs to distinct ways of creating value. Some difficulties are found in generalizing the results due...... to lack of cross-industry datapoints. Practical implications – Managers need a decision support tool that can provide inspiration for which KPIs that in total best support the value creation mechanisms of their firm. Instead of choosing KPIs from random lists, the KPIs suggested through the 5V ontology...

  7. Three-dimensional discrete-time Lotka-Volterra models with an application to industrial clusters

    Science.gov (United States)

    Bischi, G. I.; Tramontana, F.

    2010-10-01

    We consider a three-dimensional discrete dynamical system that describes an application to economics of a generalization of the Lotka-Volterra prey-predator model. The dynamic model proposed is used to describe the interactions among industrial clusters (or districts), following a suggestion given by [23]. After studying some local and global properties and bifurcations in bidimensional Lotka-Volterra maps, by numerical explorations we show how some of them can be extended to their three-dimensional counterparts, even if their analytic and geometric characterization becomes much more difficult and challenging. We also show a global bifurcation of the three-dimensional system that has no two-dimensional analogue. Besides the particular economic application considered, the study of the discrete version of Lotka-Volterra dynamical systems turns out to be a quite rich and interesting topic by itself, i.e. from a purely mathematical point of view.

  8. A model to enable indirect manufacturing options transactions between organisations: An application to the ceramic industry

    International Nuclear Information System (INIS)

    Rodriguez-Rodriguez, R.; Gomez-Gasquet, P.; Oltra-Badenes, R. F.

    2014-01-01

    In the current competitive contexts, it is widely accepted and proved that inter-enterprise collaboration lead in many occasions to better results. The Spanish ceramic industry must improve, dropping its manufacturing costs in order to be able to compete with low cost products coming from Asia. In this sense, this work presents the main results obtained from applying an innovative model, which facilitates the transfer of manufacturing options between two ceramic enterprises that share a common supplier in the scenario where one of them needs more manufacturing capacity than the one booked according to its demand forecast and the another need less. Then, some decisional mechanisms are applied, which output the values for certain parameters in order to augment the benefit of all the three participants. With the application of this model better organisational results both economic and of service level are achieved. (Author)

  9. CAD, 3D modeling, engineering analysis, and prototype experimentation industrial and research applications

    CERN Document Server

    Zheng Li, Jeremy

    2015-01-01

    This succinct book focuses on computer aided design (CAD), 3-D modeling, and engineering analysis and the ways they can be applied effectively in research and industrial sectors including aerospace, defense, automotive, and consumer products. These efficient tools, deployed for R&D in the laboratory and the field, perform efficiently three-dimensional modeling of finished products, render complex geometrical product designs, facilitate structural analysis and optimal product design, produce graphic and engineering drawings, and generate production documentation. Written with an eye toward green energy installations and novel manufacturing facilities, this concise volume enables scientific researchers and engineering professionals to learn design techniques, control existing and complex issues, proficiently use CAD tools, visualize technical fundamentals, and gain analytic and technical skills. This book also: ·       Equips practitioners and researchers to handle powerful tools for engineering desi...

  10. 75 FR 75868 - Airworthiness Directives; Diamond Aircraft Industries GmbH Models DA 40 and DA 40F Airplanes

    Science.gov (United States)

    2010-12-07

    ... Airworthiness Directives; Diamond Aircraft Industries GmbH Models DA 40 and DA 40F Airplanes AGENCY: Federal... of the Thielert Engine Owners Group commented that the Model DA 42 has the same door design and the same unsafe condition. He recommended that the AD also apply to the Model DA 42. The FAA has discussed...

  11. Novel Adaptive Forward Neural MIMO NARX Model for the Identification of Industrial 3-DOF Robot Arm Kinematics

    Directory of Open Access Journals (Sweden)

    Ho Pham Huy Anh

    2012-10-01

    Full Text Available In this paper, a novel forward adaptive neural MIMO NARX model is used for modelling and identifying the forward kinematics of an industrial 3-DOF robot arm system. The nonlinear features of the forward kinematics of the industrial robot arm drive are thoroughly modelled based on the forward adaptive neural NARX model-based identification process using experimental input-output training data. This paper proposes a novel use of a back propagation (BP algorithm to generate the forward neural MIMO NARX (FNMN model for the forward kinematics of the industrial 3-DOF robot arm. The results show that the proposed adaptive neural NARX model trained by a Back Propagation learning algorithm yields outstanding performance and perfect accuracy.

  12. A Distributed Model of Oilseed Biorefining, via Integrated Industrial Ecology Exchanges

    Science.gov (United States)

    Ferrell, Jeremy C.

    As the demand for direct petroleum substitutes increases, biorefineries are poised to become centers for conversion of biomass into fuels, energy, and biomaterials. A distributed model offers reduced transportation, tailored process technology to available feedstock, and increased local resilience. Oilseeds are capable of producing a wide variety of useful products additive to food, feed, and fuel needs. Biodiesel manufacturing technology lends itself to smaller-scale distributed facilities able to process diverse feedstocks and meet demand of critical diesel fuel for basic municipal services, safety, sanitation, infrastructure repair, and food production. Integrating biodiesel refining facilities as tenants of eco-industrial parks presents a novel approach for synergistic energy and material exchanges whereby environmental and economic metrics can be significantly improved upon compared to stand alone models. This research is based on the Catawba County NC EcoComplex and the oilseed crushing and biodiesel processing facilities (capacity-433 tons biodiesel per year) located within. Technical and environmental analyses of the biorefinery components as well as agronomic and economic models are presented. The life cycle assessment for the two optimal biodiesel feedstocks, soybeans and used cooking oil, resulted in fossil energy ratios of 7.19 and 12.1 with carbon intensity values of 12.51 gCO2-eq/MJ and 7.93 gCO2-eq/MJ, respectively within the industrial ecology system. Economic modeling resulted in a biodiesel conversion cost of 1.43 per liter of fuel produced with used cooking oil, requiring a subsidy of 0.58 per liter to reach the break-even point. As subsidies continue significant fluctuation, metrics other than operating costs are required to justify small-scale biofuel projects.

  13. From Family Based to Industrial Based Production: Local Economic Development Initiatives and the HELIX Model

    Directory of Open Access Journals (Sweden)

    Bartjan W Pennink

    2013-01-01

    Full Text Available To build a strong local economy, good practice tells us that each community should undertake a collaborative, strategically planned process to understand and then act upon its own strengths, weaknesses, opportunities and threats. From this perspective we start with the local communities but how is this related to the perspective from the Helix model in which three actors are explicitly introduced: the Government, the Industry and the Universities? The purpose of local economic development (LED is to build up the economic capacity of a local area to improve its economic future and the quality of life for all. To support  the Local Economic Development in remote areas,   a program  has been developed based on the LED frame work of the world bank. This approach and  the experiences over  the past years with this program are  described in the first part.  In the second part of the paper, We analyse work done with that program with the help of the social capital concept and the triple helix model.  In all cases it is important to pay attention to who is taken the initiative after the first move (and it is not always the governance as actor and for the triple helix we suggest  that the concepts of (national Government, Industry and University need a translation to Local Governance Agency, Cooperation or other ways of cooperation of local communities and Local Universities. Although a push from outside might help  a local region in development the endogenous factors are  also needed. Keywords: Triple Helix model, Local Economic Development, Local Actors, Double Triangle within the Helix Model

  14. A Multi-industry Default Prediction Model using Logistic Regression and Decision Tree

    OpenAIRE

    Suresh Ramakrishnan; Maryam Mirzaei; Mahmoud Bekri

    2015-01-01

    The accurate prediction of corporate bankruptcy for the firms in different industries is of a great concern to investors and creditors, as the reduction of creditors’ risk and a considerable amount of saving for an industry economy can be possible. Financial statements vary between industries. Therefore, economic intuition suggests that industry effects should be an important component in bankruptcy prediction. This study attempts to detail the characteristics of each industry using sector in...

  15. Model of analyzing and forecasting the dynamics of industrial production and space sector of the Russian Federation

    Directory of Open Access Journals (Sweden)

    Dmitriy Yu. Ivanov

    2016-01-01

    Full Text Available Objective to carry out a comparative analysis of the dynamics of industrial production and the rocket and space industry of Russia. Methods an asynchronous method of harmonic analysis comparative method. Results the forecasts of the development of rocket and space industry for 2015 and 2016 are obtained which are compared with the data of the Ministry of Economic Development and the World Bank of Development. The comparison of the results showed that the analysis and forecast data of the Ministry of Economic Development and the World Bank of Development coincide only partially. The tendency to increase the volumes in rocket and space industry is shown. Scientific novelty the mathematical models are presented for the dynamics of industrial production and the rocket and space industry of the Russian Federation built on the basis of the asynchronous harmonic analysis. The retrospective of the rocketspace complex development is considered. Practical significance using the proposed mathematical models of the dynamics of industrial production and the rocket and space industry of the Russian Federation based on the economy cycles the more accurate forecasts of economic development can be made. nbsp

  16. Application of cost mathematical models to the determination of investments in the petroleum industry

    International Nuclear Information System (INIS)

    Fournier, G.

    1997-05-01

    It is today of paramount importance to realistically forecast the cost and time required to design and manufacture a given product, from the very first phase of the project. Furthermore, with the increasingly rapid development of technology, it is often impossible to draw a direct parallel with existing, well known products Mathematical models of cost, and MAP models in particular, have been developed to meet this need. Although one may still refer to former products, they do not automatically have to be 'analogous' to the product under consideration, because these methods use 'universal relationship' between cost, weight, technology, performance and reliability, and also the nature and experience of the firm manufacturing the product. The purpose of this thesis is to demonstrate the pertinence, and more importantly the potential, of mathematical models of cost for the oil and gas industry, from exploration and production to refining, petrochemicals, and internal combustion engines. After a theoretical examination of estimation methods and a classification of existing ones, emphasis is placed on the logical aspect of these models. In addition, the complementarity between these tools and certain fields such as project management is pointed out, for example with respect to value control. The last chapter of the thesis is devoted to case studies. It aims chiefly at comparing theory with practice in order to identify the limits of mathematical models of cost so that they can be used judiciously. (author)

  17. An evaluation of tannery industry wastewater treatment sludge gasification by artificial neural network modeling

    International Nuclear Information System (INIS)

    Ongen, Atakan; Kurtulus Ozcan, H.; Arayıcı, Semiha

    2013-01-01

    Highlights: • We model calorific value of syn-gas from tannery industry treatment sludge. • We monitor variation of gas composition in produced gas. • Heating value of produced gas is around 1500 kcal/m 3 . • Model predictions are in close accordance with real values. -- Abstract: This paper reports on the calorific value of synthetic gas (syngas) produced by gasification of dewatered sludge derived from treatment of tannery wastewater. Proximate and ultimate analyses of samples were performed. Thermochemical conversion alters the chemical structure of the waste. Dried air was used as a gasification agent at varying flow rates, which allowed the feedstock to be quickly converted into gas by means of different heterogeneous reactions. A lab-scale updraft fixed-bed steel reactor was used for thermochemical conversion of sludge samples. Artificial neural network (ANN) modeling techniques were used to observe variations in the syngas related to operational conditions. Modeled outputs showed that temporal changes of model predictions were in close accordance with real values. Correlation coefficients (r) showed that the ANN used in this study gave results with high sensitivity

  18. An evaluation of tannery industry wastewater treatment sludge gasification by artificial neural network modeling

    Energy Technology Data Exchange (ETDEWEB)

    Ongen, Atakan, E-mail: aongen@istanbul.edu.tr; Kurtulus Ozcan, H.; Arayıcı, Semiha

    2013-12-15

    Highlights: • We model calorific value of syn-gas from tannery industry treatment sludge. • We monitor variation of gas composition in produced gas. • Heating value of produced gas is around 1500 kcal/m{sup 3}. • Model predictions are in close accordance with real values. -- Abstract: This paper reports on the calorific value of synthetic gas (syngas) produced by gasification of dewatered sludge derived from treatment of tannery wastewater. Proximate and ultimate analyses of samples were performed. Thermochemical conversion alters the chemical structure of the waste. Dried air was used as a gasification agent at varying flow rates, which allowed the feedstock to be quickly converted into gas by means of different heterogeneous reactions. A lab-scale updraft fixed-bed steel reactor was used for thermochemical conversion of sludge samples. Artificial neural network (ANN) modeling techniques were used to observe variations in the syngas related to operational conditions. Modeled outputs showed that temporal changes of model predictions were in close accordance with real values. Correlation coefficients (r) showed that the ANN used in this study gave results with high sensitivity.

  19. Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

    Directory of Open Access Journals (Sweden)

    Sébastien Calvo

    2013-01-01

    Full Text Available In this work, we study the conditions needed to reach homogeneous distribution of aluminium salts particles in water inside a torispherical bottom shaped stirred tank of 70 L equipped with a Pfaudler RCI type impeller and three equispaced vertical baffles. The aim of the present study is to develop a CFD model describing the quality of particle distribution in industrial scale tanks. This model, validated with experimental data, is used afterwards to develop scale-up and scale-down correlations to predict the minimum impeller speed needed to reach homogeneous solid distribution Nhs. The commercial CFD software Fluent 14 is used to model the fluid flow and the solid particle distribution in the tank. Sliding Mesh approach is used to take the impeller motion into account. Assuming that the discrete solid phase has no influence on the continuous liquid phase behaviour, the fluid flow dynamics is simulated independently using the well-known k-∊ turbulence model. The liquid-solid mixture behaviour is then described by implementing the Eulerian Mixture model. Computed liquid velocity fields are validated by comparison with PIV measurements. Computed Nhs were found to be in good agreement with experimental measurements. Results from different scales allowed correlating Nhs values to the volumetric power consumption.

  20. Wise Investment? Modeling Industry Profitability and Risk of Targeted Chemotherapy for Incurable Solid Cancers.

    Science.gov (United States)

    Conter, Henry J; Chu, Quincy S C

    2012-03-01

    Pharmaceutical development involves substantial financial risk. This risk, rising development costs, and the promotion of continued research and development have been cited as major drivers in the progressive increase in drug prices. Currently, cost-effective analyses are being used to determine the value of treatment. However, cost-effective analyses practically function as a threshold for value and do not directly address the rationale for drug prices. We set out to create a functional model for industry price decisions and clarify the minimum acceptable profitability of new drugs. Assuming that industry should only invest in profitable ventures, we employed a linear cost-volume-profit breakeven analysis to equate initial capital investment and risk and post-drug-approval profits, where drug development represents the bulk of investment. A Markov decision analysis model was also used to define the relationships between investment events risk. A systematic literature search was performed to determine event probabilities, clinical trial costs, and total expenses as inputs into the model. Disease-specific inputs, current market size across regions, and lengths of treatment for cancer types were also included. With development of single novel chemotherapies costing from $802 to $1,042 million (2002 US dollars), pharmaceutical profits should range from $4.3 to $5.2 billion, with an expected rate of return on investment of 11% annually. However, diversification across cancer types for chemotherapy can reduce the minimum required profit to less than $3 billion. For optimal diversification, industry should study four tumor types per drug; however, nonprofit organizations could tolerate eight parallel development tracks to minimize the risk of development failure. Assuming that pharmaceutical companies hold exclusive rights for drug sales for only 5 years after market approval, the minimum required profit per drug per month per patient ranges from $294 for end-stage lung

  1. Wise Investment? Modeling Industry Profitability and Risk of Targeted Chemotherapy for Incurable Solid Cancers

    Science.gov (United States)

    Conter, Henry J.; Chu, Quincy S.C.

    2012-01-01

    Purpose: Pharmaceutical development involves substantial financial risk. This risk, rising development costs, and the promotion of continued research and development have been cited as major drivers in the progressive increase in drug prices. Currently, cost-effective analyses are being used to determine the value of treatment. However, cost-effective analyses practically function as a threshold for value and do not directly address the rationale for drug prices. We set out to create a functional model for industry price decisions and clarify the minimum acceptable profitability of new drugs. Methods: Assuming that industry should only invest in profitable ventures, we employed a linear cost-volume-profit breakeven analysis to equate initial capital investment and risk and post–drug-approval profits, where drug development represents the bulk of investment. A Markov decision analysis model was also used to define the relationships between investment events risk. A systematic literature search was performed to determine event probabilities, clinical trial costs, and total expenses as inputs into the model. Disease-specific inputs, current market size across regions, and lengths of treatment for cancer types were also included. Results: With development of single novel chemotherapies costing from $802 to $1,042 million (2002 US dollars), pharmaceutical profits should range from $4.3 to $5.2 billion, with an expected rate of return on investment of 11% annually. However, diversification across cancer types for chemotherapy can reduce the minimum required profit to less than $3 billion. For optimal diversification, industry should study four tumor types per drug; however, nonprofit organizations could tolerate eight parallel development tracks to minimize the risk of development failure. Assuming that pharmaceutical companies hold exclusive rights for drug sales for only 5 years after market approval, the minimum required profit per drug per month per patient ranges

  2. Modeling energy efficiency to improve air quality and health effects of China’s cement industry

    International Nuclear Information System (INIS)

    Zhang, Shaohui; Worrell, Ernst; Crijns-Graus, Wina; Krol, Maarten; Bruine, Marco de; Geng, Guangpo; Wagner, Fabian; Cofala, Janusz

    2016-01-01

    Highlights: • An integrated model was used to model the co-benefits for China’s cement industry. • PM_2_._5 would decrease by 2–4% by 2030 through improved energy efficiency. • 10,000 premature deaths would be avoided per year relative to the baseline scenario. • Total benefits are about two times higher than the energy efficiency costs. - Abstract: Actions to reduce the combustion of fossil fuels often decrease GHG emissions as well as air pollutants and bring multiple benefits for improvement of energy efficiency, climate change, and air quality associated with human health benefits. The China’s cement industry is the second largest energy consumer and key emitter of CO_2 and air pollutants, which accounts for 7% of China’s total energy consumption, 15% of CO_2, and 14% of PM_2_._5, respectively. In this study, a state-of-the art modeling framework is developed that comprises a number of different methods and tools within the same platform (i.e. provincial energy conservation supply curves, the Greenhouse Gases and Air Pollution Interactions and Synergies, ArcGIS, the global chemistry Transport Model, version 5, and Health Impact Assessment) to assess the potential for energy savings and emission mitigation of CO_2 and PM_2_._5, as well as the health impacts of pollution arising from China’s cement industry. The results show significant heterogeneity across provinces in terms of the potential for PM_2_._5 emission reduction and PM_2_._5 concentration, as well as health impacts caused by PM_2_._5. Implementation of selected energy efficiency measures would decrease total PM_2_._5 emissions by 2% (range: 1–4%) in 2020 and 4% (range: 2–8%) by 2030, compared to the baseline scenario. The reduction potential of provincial annual PM_2_._5 concentrations range from 0.03% to 2.21% by 2030 respectively, when compared to the baseline scenario. 10,000 premature deaths are avoided by 2020 and 2030 respectively relative to baseline scenario. The

  3. Model audit for the process of industrial gammagraphy at oil refineries; Modelo de auditoria para el proceso de gammagrafia industrial en refinerias de petroleo

    Energy Technology Data Exchange (ETDEWEB)

    Cardenas, Eloy, E-mail: cardenasej@pdvsa.com [Petroleos de Venezuela S.A. (CRP/PDVSA), Falcon (Venezuela, Bolivarian Republic of); Aquino, Josilto, E-mail: josilto@cnen.gov.br [Comissao Nacional de Energia Nuclear (CNEN), Rio de Janeiro, RJ (Brazil); Sajo-Bohus, Laszlo, E-mail: lsajo@usb.ve [Universidad Simon Bolivar (USB), Miranda (Venezuela, Bolivarian Republic of)

    2013-07-01

    The purpose of this paper is to present a model of technical audit for the process of industrial gammagraphy, which was developed in one of the largest centers of refining of the world, located in Venezuela, so that safety and health of workers are guaranteed, and physical integrity of the radioactive sources. To achieve this objective a methodology was developed to audit the activity, according to the radiation protection program; the model developed with experts in this field was revised, and finally information is documented, thus achieving the proposal of the study.

  4. Model for calculating regional energy use, industrial production and greenhouse gas emissions for evaluating global climate scenarios

    International Nuclear Information System (INIS)

    Vries, H.J.M. de; Olivier, J.G.J.; Wijngaart, R.A. van den; Kreileman, G.J.J.; Toet, A.M.C.

    1994-01-01

    In the integrated IMAGE 2.0 model the 'Energy-Industry System' is implemented as a set of models to develop global scenarios for energy use and industrial processes and for the related emissions of greenhouse gases on a region specific basis. The Energy-Economy model computes total energy use, with a focus on final energy consumption in end-use sectors, based on economic activity levels and the energy conservation potential (end-use approach). The Industrial Production and Consumption model computes the future levels of activities other than energy use, which lead to greenhouse gas emissions, based on relations with activities defined in the Energy-Economy model. These two models are complemented by two emissions models, to compute the associated emissions by using emission factors per compound and per activity defined. For investigating energy conservation and emissions control strategy scenarios various techno-economic coefficients in the model can be modified. In this paper the methodology and implementation of the 'Energy-Industry System' models is described as well as results from their testing against data for the period 1970-1990. In addition, the application of the models is presented for a specific scenario calculation. Future extensions of the models are in preparation. 59 refs., 17 figs., 21 tabs

  5. Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models

    International Nuclear Information System (INIS)

    Zhang, Shaohui; Worrell, Ernst; Crijns-Graus, Wina

    2015-01-01

    In China, industrial energy use accounts for two thirds of total energy consumption, and this is expected to remain the same in the medium and long-term. China has embarked on a path towards more sustainable energy use to meet domestic (e.g. air quality) and global needs (e.g. climate change), and to sustain its economic welfare. However, most energy-economy models for China have shown limitations to evaluate policy instruments and technology diffusion in industries, in relation to the multiple policy goals. In this paper, the advantages and weaknesses of 19 current energy models for China are evaluated, including important co-benefits as reduced air pollutant emissions. Results show that the co-benefits of energy use and emission policies are rarely modeled on industrial level. Based on the critical assessment of the state-of-the-art energy models, we develop recommendations for modeling industrial energy use, with an emphasis on improved incorporation of (economic, environmental and energy) policy effects, technology representation, co-benefit modeling, and uncertainty analysis. - Highlights: • This study evaluates 19 the state-of-the-art energy models on different level. • The co-benefits of different policies are rarely reported in energy models. • Technology plays a key role in models when assessing the co-benefits. • The integrated models provide a better understanding to evaluate the co-benefits. • The directions to improve the accuracy of the current energy models are presented.

  6. Inter-comparison of receptor models for PM source apportionment: Case study in an industrial area

    Science.gov (United States)

    Viana, M.; Pandolfi, M.; Minguillón, M. C.; Querol, X.; Alastuey, A.; Monfort, E.; Celades, I.

    2008-05-01

    Receptor modelling techniques are used to identify and quantify the contributions from emission sources to the levels and major and trace components of ambient particulate matter (PM). A wide variety of receptor models are currently available, and consequently the comparability between models should be evaluated if source apportionment data are to be used as input in health effects studies or mitigation plans. Three of the most widespread receptor models (principal component analysis, PCA; positive matrix factorization, PMF; chemical mass balance, CMB) were applied to a single PM10 data set (n=328 samples, 2002-2005) obtained from an industrial area in NE Spain, dedicated to ceramic production. Sensitivity and temporal trend analyses (using the Mann-Kendall test) were applied. Results evidenced the good overall performance of the three models (r2>0.83 and α>0.91×between modelled and measured PM10 mass), with a good agreement regarding source identification and high correlations between input (CMB) and output (PCA, PMF) source profiles. Larger differences were obtained regarding the quantification of source contributions (up to a factor of 4 in some cases). The combined application of different types of receptor models would solve the limitations of each of the models, by constructing a more robust solution based on their strengths. The authors suggest the combined use of factor analysis techniques (PCA, PMF) to identify and interpret emission sources, and to obtain a first quantification of their contributions to the PM mass, and the subsequent application of CMB. Further research is needed to ensure that source apportionment methods are robust enough for application to PM health effects assessments.

  7. Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches.

    Science.gov (United States)

    Gupta, Shikha; Basant, Nikita; Rai, Premanjali; Singh, Kunwar P

    2015-11-01

    Binding affinity of chemical to carbon is an important characteristic as it finds vast industrial applications. Experimental determination of the adsorption capacity of diverse chemicals onto carbon is both time and resource intensive, and development of computational approaches has widely been advocated. In this study, artificial intelligence (AI)-based ten different qualitative and quantitative structure-property relationship (QSPR) models (MLPN, RBFN, PNN/GRNN, CCN, SVM, GEP, GMDH, SDT, DTF, DTB) were established for the prediction of the adsorption capacity of structurally diverse chemicals to activated carbon following the OECD guidelines. Structural diversity of the chemicals and nonlinear dependence in the data were evaluated using the Tanimoto similarity index and Brock-Dechert-Scheinkman statistics. The generalization and prediction abilities of the constructed models were established through rigorous internal and external validation procedures performed employing a wide series of statistical checks. In complete dataset, the qualitative models rendered classification accuracies between 97.04 and 99.93%, while the quantitative models yielded correlation (R(2)) values of 0.877-0.977 between the measured and the predicted endpoint values. The quantitative prediction accuracies for the higher molecular weight (MW) compounds (class 4) were relatively better than those for the low MW compounds. Both in the qualitative and quantitative models, the Polarizability was the most influential descriptor. Structural alerts responsible for the extreme adsorption behavior of the compounds were identified. Higher number of carbon and presence of higher halogens in a molecule rendered higher binding affinity. Proposed QSPR models performed well and outperformed the previous reports. A relatively better performance of the ensemble learning models (DTF, DTB) may be attributed to the strengths of the bagging and boosting algorithms which enhance the predictive accuracies. The

  8. Industrial symbiosis

    DEFF Research Database (Denmark)

    Sacchi, Romain; Remmen, Arne

    2017-01-01

    This study examines the development of industrial symbiosis through a practical model for physical, organizational, and social interactions in six different cases from around the world. The results provide a framework that can be used by industrial symbiosis practitioners to facilitate the creation...

  9. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP

    International Nuclear Information System (INIS)

    Geng, ZhiQiang; Qin, Lin; Han, YongMing; Zhu, QunXiong

    2017-01-01

    Extreme learning machine (ELM), which is a simple single-hidden-layer feed-forward neural network with fast implementation, has been widely applied in many engineering fields. However, it is difficult to enhance the modeling ability of extreme learning in disposing the high-dimensional noisy data. And the predictive modeling method based on the ELM integrated fuzzy C-Means integrating analytic hierarchy process (FAHP) (FAHP-ELM) is proposed. The fuzzy C-Means algorithm is used to cluster the input attributes of the high-dimensional data. The Analytic Hierarchy Process (AHP) based on the entropy weights is proposed to filter the redundant information and extracts characteristic components. Then, the fusion data is used as the input of the ELM. Compared with the back-propagation (BP) neural network and the ELM, the proposed model has better performance in terms of the speed of convergence, generalization and modeling accuracy based on University of California Irvine (UCI) benchmark datasets. Finally, the proposed method was applied to build the energy saving and predictive model of the purified terephthalic acid (PTA) solvent system and the ethylene production system. The experimental results demonstrated the validity of the proposed method. Meanwhile, it could enhance the efficiency of energy utilization and achieve energy conservation and emission reduction. - Highlights: • The ELM integrated FAHP approach is proposed. • The FAHP-ELM prediction model is effectively verified through UCI datasets. • The energy saving and prediction model of petrochemical industries is obtained. • The method is efficient in improvement of energy efficiency and emission reduction.

  10. Electricity supply industry modelling for multiple objectives under demand growth uncertainty

    International Nuclear Information System (INIS)

    Heinrich, G.; Basson, L.; Howells, M.; Petrie, J.

    2007-01-01

    Appropriate energy-environment-economic (E3) modelling provides key information for policy makers in the electricity supply industry (ESI) faced with navigating a sustainable development path. Key challenges include engaging with stakeholder values and preferences, and exploring trade-offs between competing objectives in the face of underlying uncertainty. As a case study we represent the South African ESI using a partial equilibrium E3 modelling approach, and extend the approach to include multiple objectives under selected future uncertainties. This extension is achieved by assigning cost penalties to non-cost attributes to force the model's least-cost objective function to better satisfy non-cost criteria. This paper incorporates aspects of flexibility to demand growth uncertainty into each future expansion alternative by introducing stochastic programming with recourse into the model. Technology lead times are taken into account by the inclusion of a decision node along the time horizon where aspects of real options theory are considered within the planning process. Hedging in the recourse programming is automatically translated from being purely financial, to include the other attributes that the cost penalties represent. From a retrospective analysis of the cost penalties, the correct market signals, can be derived to meet policy goal, with due regard to demand uncertainty. (author)

  11. Macro-economic factors influencing the architectural business model shift in the pharmaceutical industry.

    Science.gov (United States)

    Dierks, Raphaela Marie Louisa; Bruyère, Olivier; Reginster, Jean-Yves; Richy, Florent-Frederic

    2016-10-01

    Technological innovations, new regulations, increasing costs of drug productions and new demands are only few key drivers of a projected alternation in the pharmaceutical industry. The purpose of this review is to understand the macro economic factors responsible for the business model revolution to possess a competitive advantage over market players. Areas covered: Existing literature on macro-economic factors changing the pharmaceutical landscape has been reviewed to present a clear image of the current market environment. Expert commentary: Literature shows that pharmaceutical companies are facing an architectural alteration, however the evidence on the rationale driving the transformation is outstanding. Merger & Acquisitions (M&A) deals and collaborations are headlining the papers. Q1 2016 did show a major slowdown in M&A deals by volume since 2013 (with deal cancellations of Pfizer and Allergan, or the downfall of Valeant), but pharmaceutical analysts remain confident that this shortfall was a consequence of the equity market volatility. It seems likely that the shift to an M&A model will become apparent during the remainder of 2016, with deal announcements of Abbott Laboratories, AbbVie and Sanofi worth USD 45billion showing the appetite of big pharma companies to shift from the fully vertical integrated business model to more horizontal business models.

  12. Virtual design and optimization studies for industrial silicon microphones applying tailored system-level modeling

    Science.gov (United States)

    Kuenzig, Thomas; Dehé, Alfons; Krumbein, Ulrich; Schrag, Gabriele

    2018-05-01

    Maxing out the technological limits in order to satisfy the customers’ demands and obtain the best performance of micro-devices and-systems is a challenge of today’s manufacturers. Dedicated system simulation is key to investigate the potential of device and system concepts in order to identify the best design w.r.t. the given requirements. We present a tailored, physics-based system-level modeling approach combining lumped with distributed models that provides detailed insight into the device and system operation at low computational expense. The resulting transparent, scalable (i.e. reusable) and modularly composed models explicitly contain the physical dependency on all relevant parameters, thus being well suited for dedicated investigation and optimization of MEMS devices and systems. This is demonstrated for an industrial capacitive silicon microphone. The performance of such microphones is determined by distributed effects like viscous damping and inhomogeneous capacitance variation across the membrane as well as by system-level phenomena like package-induced acoustic effects and the impact of the electronic circuitry for biasing and read-out. The here presented model covers all relevant figures of merit and, thus, enables to evaluate the optimization potential of silicon microphones towards high fidelity applications. This work was carried out at the Technical University of Munich, Chair for Physics of Electrotechnology. Thomas Kuenzig is now with Infineon Technologies AG, Neubiberg.

  13. Delay Mitigation in the Malaysian Housing Industry: A Structural Equation Modelling Approach

    Directory of Open Access Journals (Sweden)

    Chang Saar Chai

    2015-01-01

    Full Text Available The housing industry is one of the major contributors to the economy in Malaysia due to the constantly high housing demand. The housing demand has increased due to the rapid growth in population and urbanisation in the country. One of the major challenges in the housing industry is the late delivery of housing supply, which in some instances leads to sick and abandoned housing projects. Despite being extensively investigated, th in a negative impact, there is a strong need to review the housing delay mitigation measures practised in Malaysia. This paper aims to evaluate the current delay mitigation measures and its main objective is to explore the relationship between the mitigation measures and delay in housing via a Structural Equation Modelling (SEM approach. A questionnaire survey through an online survey tool was conducted across 13 states and three Federal Territories in Malaysia. The target respondents are the local authorities, developers, consultants (principal submitting persons and contractors. The findings show that 17 predictive, preventive, organisational or corrective. This paper demonstrates that preventive measures are the most influential mitigation measures for housing delivery delay.

  14. Women’s empowerment model in home-based industries in East Java Province, Indonesia

    Directory of Open Access Journals (Sweden)

    Emy Susanti

    2017-12-01

    Full Text Available This study aimed to classify the role of women, gender and characteristics of home-based industries that were managed by women in two cities of East Java Province. This study also tried to identify strengths, weaknesses and challenges faced by these women, especially impoverished women. The research employed qualitative method supported by quantitative data. The data collected through structured interviews guided by questionnaires and indepth interviews. Three main results were attained. First, it was related to the characteristics of women workers, the role of multi-burdened women, the flexible working hours, formal education but unrelated to work, and low income but still importantly needed to support economic condition. Second, three networks were found: network between manager/owner and workers that was informal and family-oriented, network between managers and local government for marketing and training, and network with the private sector for access to capital and business development. Third, the model of empowering small home-based industries should consider the specific needs of women. In other words, there is a requisite for practical and strategic gender needs that has to be comprehended and become the basis for the planning and development to conduct activities and programs for women.

  15. DIAGNOSIS OF BANKRUPTCY RISK IN THE FURNITURE INDUSTRY USING THE CANON-HOLDER AND ALTMAN MODELS

    Directory of Open Access Journals (Sweden)

    Radu MĂRGINEAN

    2015-06-01

    Full Text Available The financial and economic crisis that started in 2008 caused negative effects felt by the entire European economy, affecting more or less all of the world's economies. This paper aims to study the diagnosis of bankruptcy risk using the Canon-Holder and Altman methods, from a theoretical point of view and with practical examples on a company in the furniture industry in Romania. In a context of economic uncertainty, the relevance of such an analysis designed to quantify the risk of bankruptcy for companies is the default. The financial data used is real and descriptively analyzed, we analyzed a period of eight years, between 2006-2013. As a method of analysis complementary to the financial analysis of the background of companies, the diagnosis of bankruptcy risk using the score method, using the specific models known in the specialty literature, brings relevant information concerning the problem of risk assessment. We concluded in the case study the opportunity of such an analysis for the furniture industry through the results obtained in the case studies, the method is a useful tool, especially for the practitioners in the sector.

  16. Foundation-industry relationships--a new business model joint-venture philanthropy in therapy development.

    Science.gov (United States)

    Bartek, Ronald J

    2014-01-01

    The business model for medical therapy development has changed drastically. Large companies that once conducted their own Research and Development (R&D) and funded all the preclinical studies, all phases of clinical development and marketing of the products are increasingly turning to others for more and more of the earlier work in hopes of being able to in-license a de-risked program well downstream, take it through the final phases of clinical development and into the marketplace. This new paradigm has required patient-advocacy foundations, especially in the rare-disease space, to become far more effective in building relationships with all the players along the therapy-development pathway -- academic scientists, government agencies, other foundations with overlapping interests, biotechs, small biopharmaceutical entities and even the larger industry companies. From the perspective of the patient-advocacy community, these increasingly essential public-private partnerships have taken on the nature of what could be called joint-venture philanthropy and involve a broad spectrum of collaborations and financial relationships between foundations and industry partners that are not without concerns about potential conflicts of interest.

  17. Industry-specific risk models for numerical scoring of hazards and prioritization of safety measures

    International Nuclear Information System (INIS)

    Khali, Y.F.; Johnson, K.

    2004-01-01

    Risk analysis consists of five cornerstones that have to be viewed in an holistic manner by risk practitioners of any organization regardless of the industry type or nature of its critical infrastructures. The cornerstones are hazard identification, risk assessment and consequence analysis, determination of risk management actions required to reduce risks to acceptable levels, communication of risk insights among the stake-holders, and continuous monitoring and verification to ensure sustained attainment of tolerable risk levels. Our primary objectives in this research are two fold: first, we compare and contrast a wide spectrum of current industry-specific and application-dependent semi-quantitative risk models. Secondly, based on the insights to be gained from the first task, we propose a framework for a robust risk-based approach for conducting security vulnerability assessment (SVA). Risk practitioners of critical infrastructures, such as commercial nuclear power plants, water utilities, chemical plants, transmission and distribution substations... etc., could readily use this proposed approach to classify, evaluate, and prioritize risks to support allocation of resources required to ensure protection of public health and safety. (author)

  18. Mycotoxins in ethanol co-products: modeling economic impacts on the livestock industry and management strategies.

    Science.gov (United States)

    Wu, Felicia; Munkvold, Gary P

    2008-06-11

    The rapidly expanding U.S. ethanol industry is generating a growing supply of co-products, mostly in the form of dried distillers' grain and solubles (DDGS) or wet distillers' grains (WDG). In the United States, 90% of the co-products of maize-based ethanol are fed to livestock. An unintended consequence is that animals are likely to be fed higher levels of mycotoxins, which are concentrated up to three times in DDGS compared to grain. The model developed in this study estimates current losses to the swine industry from weight gain reduction due to fumonisins in added DDGS at $9 million ($2-18 million) annually. If there is complete market penetration of DDGS in swine feed with 20% DDGS inclusion in swine feed and fumonisins are not controlled, losses may increase to $147 million ($29-293 million) annually. These values represent only those losses attributable to one mycotoxin on one adverse outcome on one species. The total loss due to mycotoxins in DDGS could be significantly higher due to additive or multiplicative effects of multiple mycotoxins on animal health. If mycotoxin surveillance is implemented by ethanol producers, losses are shifted among multiple stakeholders. Solutions to this problem include methods to reduce mycotoxin contamination in both pre- and postharvest maize.

  19. Digital Modeling, Integrated Project Delivery and Industry Transformation: An Australian Case Study

    Directory of Open Access Journals (Sweden)

    Judy A. Kraatz

    2014-09-01

    Full Text Available This research is focused on realizing productivity benefits for the delivery of transport infrastructure in the Australian construction industry through the use of building information modeling (BIM, virtual design and construction (VDC and integrated project delivery (IPD. Specific objectives include: (I building an understanding of the institutional environment, business systems and support mechanisms (e.g., training and skilling which impact on the uptake of BIM/VDC; (II gathering data to undertake a cross-country analysis of these environments; and (III providing strategic and practical outcomes to guide the uptake of such processes in Australia. Activities which will inform this research include a review of academic literature and industry documentation, semi-formal interviews in Australia and Sweden, and a cross-country comparative analysis to determine factors affecting uptake and associated productivity improvements. These activities will seek to highlight the gaps between current-practice and best-practice which are impacting on widespread adoption of BIM/VDC and IPD. Early findings will be discussed with intended outcomes of this research being used to: inform a national public procurement strategy; provide guidelines for new contractual frameworks; and contribute to closing skill gaps.

  20. Effective management models and methods of economic educations in regional industrial complexes

    Directory of Open Access Journals (Sweden)

    Andrey Gennadyevich Butrin

    2014-06-01

    Full Text Available In the article, the methodical bases of management by the integrated industrial enterprises is developed according to the indicators of sustainable economic development of the region. The scope of the research is the region as the difficult mesosystem consisting of logistic clusters. The subject matter of the research is the organizational and economic relations developing in the course of interaction of participants of the regional economy as mesosystems. The models and methods of management by the large economic systems in the economy of the industrially developed region are developed; the organizational and economic essence of a logistic cluster as the subject of the regional economy us revealed. The mechanism of management by the integrated enterprises with using the cluster approach, technologies of logistics, management of supply chains is offered. They allow to the management of an enterprises to make scientifically reasonable effective decisions developing programs of supply, economic production and realization of finished goods in the close connection with programs of regional economic development.