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....

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...

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.

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)

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...

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.

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.

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

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...

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...

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.

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...

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...

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...

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.

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.

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.

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.

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".

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...

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...

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.

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

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.

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.

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...

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...

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

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.

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.

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.

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.

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.

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.

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...

Fremtidsstaten og samfundsmaskinen

DEFF Research Database (Denmark)

Wagner, Michael

2010-01-01

The Future State and Society as a Machine. –Social Engineering between Technocracy and Productivism. The identity and status of the engineer is closely related to the massive impact engineering science has had on the development of modern industrial society. Science is considered to be the driving...... was fueled by the productivist vision of abundance and harmony in an affluent futuristic society. In short terms this is how the principle of scientific leadership is imbedded in modern society as a utopian ideology and as functional bureaucracy mainly concerned with creating the perfect rational society...... under the leadership of an elite consisting of scientific experts....

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...

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.

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.

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. 

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

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

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.

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.

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.

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...

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....

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.

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 ...

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

Industry 4.0 and the New Simulation Modelling Paradigm

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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.

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.

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

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.

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...

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.

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

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.

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...

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.

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....

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.

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…

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

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.

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...

Application of air pollution dispersion modeling for source-contribution assessment and model performance evaluation at integrated industrial estate-Pantnagar

Energy Technology Data Exchange (ETDEWEB)

Banerjee, T., E-mail: tirthankaronline@gmail.com [Department of Environmental Science, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar, Uttarakhand 263 145 (India); Barman, S.C., E-mail: scbarman@yahoo.com [Department of Environmental Monitoring, Indian Institute of Toxicology Research, Post Box No. 80, Mahatma Gandhi Marg, Lucknow-226 001, Uttar Pradesh (India); Srivastava, R.K., E-mail: rajeevsrivastava08@gmail.com [Department of Environmental Science, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar, Uttarakhand 263 145 (India)

2011-04-15

Source-contribution assessment of ambient NO{sub 2} concentration was performed at Pantnagar, India through simulation of two urban mathematical dispersive models namely Gaussian Finite Line Source Model (GFLSM) and Industrial Source Complex Model (ISCST-3) and model performances were evaluated. Principal approaches were development of comprehensive emission inventory, monitoring of traffic density and regional air quality and conclusively simulation of urban dispersive models. Initially, 18 industries were found responsible for emission of 39.11 kg/h of NO{sub 2} through 43 elevated stacks. Further, vehicular emission potential in terms of NO{sub 2} was computed as 7.1 kg/h. Air quality monitoring delineates an annual average NO{sub 2} concentration of 32.6 {mu}g/m{sup 3}. Finally, GFLSM and ISCST-3 were simulated in conjunction with developed emission inventories and existing meteorological conditions. Models simulation indicated that contribution of NO{sub 2} from industrial and vehicular source was in a range of 45-70% and 9-39%, respectively. Further, statistical analysis revealed satisfactory model performance with an aggregate accuracy of 61.9%. - Research highlights: > Application of dispersion modeling for source-contribution assessment of ambient NO{sub 2}. > Inventorization revealed emission from industry and vehicles was 39.11 and 7.1 kg/h. > GFLSM revealed that vehicular pollution contributes a range of 9.0-38.6%. > Source-contribution of 45-70% was found for industrial emission through ISCST-3. > Aggregate performance of both models shows good agreement with an accuracy of 61.9%. - Development of industrial and vehicular inventory in terms of ambient NO{sub 2} for model simulation at Pantnagar, India and model validation revealed satisfactory outcome.

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.

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.

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

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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.

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)

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)

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.

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....

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.

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.

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

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.)

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)

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

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...

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.

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

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

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

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.

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.

[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.

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.

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

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

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.

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.

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.

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...

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.

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...

Introduction: Greening the countryside? Changing frameworks of EU agricultural policy.

Science.gov (United States)

Lowe, Philip; Feindt, Peter H; Vihinen, Hilkka

2010-01-01

In response to wide-ranging criticism of agricultural policy, especially within Western industrialized countries, new frameworks of justification are emerging and new hybrid policy fields have been established to tackle some of the ‘externalities’ of agricultural support. However, institutional frameworks are proving slower to change, partly because this would require coordinated action across different levels of governance. Nevertheless, previously marginalized environmental concerns have successfully gained entrance to agricultural policy networks, while the intersection of trade liberalization and rural diversification have undermined the dominance of the productivist mindset in government. This gives rise to a plurality of policy actors and actions which defy the conventional categories of analysis of agricultural policy, calling for changing frameworks on the polity of agriculture too.

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.)

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.)

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.)

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.

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.

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.

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.

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

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

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 ...

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.

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.

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.

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

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 ...

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)

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.

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)

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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....

Comparison of Bioenergy Policies in Denmark and Germany

DEFF Research Database (Denmark)

Schwarz, Gerald; Noe, Egon; Saggau, Volker

2012-01-01

Purpose – This chapter compares bioenergy policy developments in Germany and Denmark to better understand the responses of EU country policy regimes to global shocks; to examine potentially emerging new trends of productivist policy models; and to explore potential land use conflicts in the context...... of a multifunctional EU agricultural policy. Design/methodology/approach – The chapter reviews the bioenergy policy development pathways taken by Germany and Denmark, highlighting key consequences for agricultural land use and rural development. Findings from both case studies are then compared in summary tables...

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.

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.

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.

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.

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

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)

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…

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

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....

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....

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

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...

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

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...

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.

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.

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

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.

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.

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...

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...

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...

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

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...

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.

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)

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.

KEUNGGULAN KOMPETITIF INDUSTRI KECIL DI KLASTER INDUSTRI KECIL TRADISIONAL DENGAN PENDEKATAN BERBASIS SUMBER DAYA: STUDI KASUS PENGUSAHA INDUSTRI KECIL LOGAM KIARA CONDONG, BANDUNG

Directory of Open Access Journals (Sweden)

Widjajani Widjajani

2008-01-01

Full Text Available Small-scale industries play an important role in the betterment of society. Industrial cluster approach has been used by government as an alternative government policy to increase competitiveness of small-scale industries in Indonesia. An industry cluster consists of core enterprise(s and related enterprises in which the core acts as a pulling agent for the other counterparts. Therefore, developing the core enterprises is expected to increase competitiveness of the whole cluster. This research is a strategy process research, aiming at identifying and modeling strategic behavior of a successful entrepreneur in a metal-making cluster industry at Kiara Condong Bandung, West Java. Based on the literature review, qualitative research methodology is used in this research by combining soft systems methodology (SSM and grounded theory. The major findings of this research indicate four kinds of strategic behavior models, namely behavior model of strategy setting, behavior model of production operations, behavior model of research and development and innovation and behavior model of marketing operations. Abstract in Bahasa Indonesia: Industri kecil mempunyai peranan penting dalam meningkatkan kesejahteraan masyarakat. Pendekatan klaster industri dicanangkan oleh pemerintah sebagai alternatif kebijakan pemerintah untuk membangun keunggulan kompetitif di industri kecil. Di suatu klaster industri kecil yang terdiri dari unit usaha inti dan unit usaha penunjang, unit usaha inti merupakan gerbong penghela klaster. Oleh karena itu mengembangkan usaha inti sehingga mempunyai keunggulan kompetitif diharapkan dapat mengembangkan klaster secara keseluruhan. Penelitian ini merupakan penelitian proses strategi (strategy process research yang meneliti perilaku strategis manajer pemilik industri kecil dalam mengelola usahanya untuk membangun keunggulan kompetitif dengan pendekatan berbasis sumber daya (Resource-Based View atau RBV dan mengambil studi kasus pengusaha

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...

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…

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.

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...

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

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...

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.

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

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.

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.

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...

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.

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.

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.

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...

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...

East Asian welfare regime

DEFF Research Database (Denmark)

Abrahamson, Peter

2017-01-01

The paper asks if East Asian welfare regimes are still productivist and Confucian? And, have they developed public care policies? The literature is split on the first question but (mostly) confirmative on the second. Care has to a large, but insufficient extent, been rolled out in the region...

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

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.

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)

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.

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.

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

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....

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

Does the high–tech industry consistently reduce CO{sub 2} emissions? Results from nonparametric additive regression model

Energy Technology Data Exchange (ETDEWEB)

Xu, Bin [School of Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013 (China); Research Center of Applied Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013 (China); Lin, Boqiang, E-mail: bqlin@xmu.edu.cn [Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, Xiamen University, Xiamen, Fujian 361005 (China)

2017-03-15

China is currently the world's largest carbon dioxide (CO{sub 2}) emitter. Moreover, total energy consumption and CO{sub 2} emissions in China will continue to increase due to the rapid growth of industrialization and urbanization. Therefore, vigorously developing the high–tech industry becomes an inevitable choice to reduce CO{sub 2} emissions at the moment or in the future. However, ignoring the existing nonlinear links between economic variables, most scholars use traditional linear models to explore the impact of the high–tech industry on CO{sub 2} emissions from an aggregate perspective. Few studies have focused on nonlinear relationships and regional differences in China. Based on panel data of 1998–2014, this study uses the nonparametric additive regression model to explore the nonlinear effect of the high–tech industry from a regional perspective. The estimated results show that the residual sum of squares (SSR) of the nonparametric additive regression model in the eastern, central and western regions are 0.693, 0.054 and 0.085 respectively, which are much less those that of the traditional linear regression model (3.158, 4.227 and 7.196). This verifies that the nonparametric additive regression model has a better fitting effect. Specifically, the high–tech industry produces an inverted “U–shaped” nonlinear impact on CO{sub 2} emissions in the eastern region, but a positive “U–shaped” nonlinear effect in the central and western regions. Therefore, the nonlinear impact of the high–tech industry on CO{sub 2} emissions in the three regions should be given adequate attention in developing effective abatement policies. - Highlights: • The nonlinear effect of the high–tech industry on CO{sub 2} emissions was investigated. • The high–tech industry yields an inverted “U–shaped” effect in the eastern region. • The high–tech industry has a positive “U–shaped” nonlinear effect in other regions. • The linear impact

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.

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.

Bottom-Up modeling, a tool for decision support for long-term policy on energy and environment - The TIMES model applied to the energy intensive industries

International Nuclear Information System (INIS)

Djemaa, A.

2009-01-01

Among the energy users in France and Europe, some industrial sectors are very important and should have a key role when assessing the final energy demand patterns in the future. The aim of our work is to apply a prospective model for the long range analysis of energy/technology choices in the industrial sector, focussing on the energy-intensive sectors. The modelling tool applied in this study is the TIMES model (family of best known MARKAL model). It is an economic linear programming model generator for local, national or multi regional energy systems, which provides a technology-rich basis for estimating energy dynamics over a long term, multi period time. We illustrate our work with nine energy-intensive industrial sectors: paper, steel, glass, cement, lime, tiles, brick, ceramics and plaster. It includes a detailed description of the processes involved in the production of industrial products, providing typical energy uses in each process step. In our analysis, we identified for each industry, several commercially available state-of-the-art technologies, characterized and chosen by the Model on the basis of cost effectiveness. Furthermore, we calculated potential energy savings, carbon dioxide emissions' reduction and we estimated the energy impact of a technological rupture. This work indicates that there still exists a significant potential for energy savings and carbon dioxide emissions' reduction in all industries. (author)

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)

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.

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.

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

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.

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.

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.)

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

A multi-attribute decision model for portfolio selection aiming to replace technologies in industrial motor systems

International Nuclear Information System (INIS)

Vanderley Herrero Sola, Antonio; Mota, Caroline Maria de Miranda

2012-01-01

Highlights: ► We propose a multicriteria decision model for technology replacement. ► We prioritize induction motors in order to improve the energy efficiency. ► The best portfolio of options is selected based on decision maker’s utilities. ► The model contribute to surpass some organizational barriers. - Abstract: The energy efficient technologies offered by the market are in constant evolution, but their insertion in the productive sector comes up against organizational barriers, which obstruct decision making in firms. This paper proposes a multicriteria decision model in order to replace technologies in industrial energy systems, regarding organizational barriers for energy efficiency. The proposed model is applied in industrial motor systems, using Multi-Attribute Utility Theory (MAUT), in order to select the best portfolio of options based on the decision maker’s utilities. Portfolios of options from the prioritized set of motors compiled by the operational area of the studied industry are analyzed, including diverse suppliers and different classes of motors. The results show that it is essential to structure the proposed model in two steps, beginning with the operational level, to ensure that important technologies for the production system are prioritized, thus preserving the interests of the organization and improving the efficiency of industrial energy systems.

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.

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.

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.

The so-called "Spanish model" - Tobacco industry strategies and its impact in Europe and Latin America

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Schneider Nick K

2011-12-01

Full Text Available Abstract Background To demonstrate the tobacco industry rationale behind the "Spanish model" on non-smokers' protection in hospitality venues and the impact it had on some European and Latin American countries between 2006 and 2011. Methods Tobacco industry documents research triangulated against news and media reports. Results As an alternative to the successful implementation of 100% smoke-free policies, several European and Latin American countries introduced partial smoking bans based on the so-called "Spanish model", a legal framework widely advocated by parts of the hospitality industry with striking similarities to "accommodation programmes" promoted by the tobacco industry in the late 1990s. These developments started with the implementation of the Spanish tobacco control law (Ley 28/2005 in 2006 and have increased since then. Conclusion The Spanish experience demonstrates that partial smoking bans often resemble tobacco industry strategies and are used to spread a failed approach on international level. Researchers, advocates and policy makers should be aware of this ineffective policy.

The so-called "Spanish model" - Tobacco industry strategies and its impact in Europe and Latin America

Science.gov (United States)

2011-01-01

Background To demonstrate the tobacco industry rationale behind the "Spanish model" on non-smokers' protection in hospitality venues and the impact it had on some European and Latin American countries between 2006 and 2011. Methods Tobacco industry documents research triangulated against news and media reports. Results As an alternative to the successful implementation of 100% smoke-free policies, several European and Latin American countries introduced partial smoking bans based on the so-called "Spanish model", a legal framework widely advocated by parts of the hospitality industry with striking similarities to "accommodation programmes" promoted by the tobacco industry in the late 1990s. These developments started with the implementation of the Spanish tobacco control law (Ley 28/2005) in 2006 and have increased since then. Conclusion The Spanish experience demonstrates that partial smoking bans often resemble tobacco industry strategies and are used to spread a failed approach on international level. Researchers, advocates and policy makers should be aware of this ineffective policy. PMID:22151884

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…

Model of analyzing and forecasting the dynamics of industrial production and space sector of the Russian Federation

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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

COST VOLUME PROFIT MODEL, THE BREAK -EVEN POINT AND THE DECISION MAKING PROCESS IN THE HOSPITALITY INDUSTRY

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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.

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...

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.

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.

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.

Pioneering the combined use of agile and stage-gate models in new product development–cases from the manufacturing industry

DEFF Research Database (Denmark)

Ahmed-Kristensen, Saeema; Daalhuizen, Jaap

2015-01-01

Stage gate models have long been the norm in manufacturing industries. Whereas agile models, such as scrum, are standard amongst software industries. These two models have been traditionally been pitted against one another, each with its own advantages and limitations. A new trend is being observed...

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

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

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

Developing a typology for local cattle breed farmers in Europe.

Science.gov (United States)

Soini, K; Diaz, C; Gandini, G; de Haas, Y; Lilja, T; Martin-Collado, D; Pizzi, F; Hiemstra, S J

2012-12-01

Recognizing cultural diversity among local breed farmers is crucial for the successful development and implementation of farm animal genetic resources FAnGr conservation policies and programmes. In this study based on survey data collected in the EUropean REgional CAttle breeds project from six European countries, a typology of local breed farmers was designed and profiles for each of the farmer types were developed to assist these policy needs. Three main farmer types were constructed: production-oriented, product and service-oriented and hobby-oriented farmers. In addition, seven subtypes were characterized under the main types: sustainable producers, opportunists, multi-users, brand makers, traditionalists, pragmatists and newcomers. These types have many similarities to the 'productivist', 'multifunctional' and 'post-productivist' farmer types. The typology not only reveals the high level of diversity among local cattle breed farmers in Europe, which presents an opportunity for the in situ conservation of animal genetic resources, but also a challenge for policy to meet the differing requirements of the farmer types. © 2012 Blackwell Verlag GmbH.

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

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

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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.

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.

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.

Prediction on Human Resource Supply/Demand in Nuclear Industry Using Markov Chains Model and Job Coefficient

International Nuclear Information System (INIS)

Kwon, Hyuk; Min, Byung Joo; Lee, Eui Jin; You, Byung Hoon

2006-01-01

According to the recent report by the OECD/NEA, there is a large imbalance between supply and demand of human resource in nuclear field. In the U.S., according to survey of Nuclear Engineering Department Heads Organization (NEDHO), 174 graduates in B.S or M.S degree were fed to nuclear industry in year 2004. Meanwhile, the total amount of demand in nuclear industry was about 642 engineers, which was approximately three times of the supply. In case of other developed western nations, the OECD/NEA report stated that the level of imbalance is similar to that of the U.S. However, nations having nuclear power development programs such as Korea, Japan and France seem to be in a different environment of supply and demand from that of the U.S. In this study, the difference of manpower status between the U.S and Korea has been investigated and the nuclear manpower required for the future in Korea is predicted. To investigate the factors making difference between the U.S. and NPP developing countries including Korea, a quantitative manpower planning model, Markov chains model, is applied. Since the Markov chains model has the strength of analyzing an inflow or push structure, the model fits the system governed by the inflow of manpower. A macroscopic status of manpower demand on nuclear industry is calculated up to 2015 using the Job coefficient (JC) and GDP, which are derived from the Survey for Roadmap of Electric Power Industry Manpower Planning. Furthermore, the total numbers of required manpower and supplied manpower up to 2030 were predicted by JC and Markov Chains model, respectively. Whereas the employee status of nuclear industries has been annually investigated by KAIF since 1995, the following data from the 10 th survey and nuclear energy yearbooks from 1998 to 2005 are applied; (a) the status of the manpower demand of industry, (b) number of students entering, graduating and getting job in nuclear engineering

Prediction on Human Resource Supply/Demand in Nuclear Industry Using Markov Chains Model and Job Coefficient

Energy Technology Data Exchange (ETDEWEB)

Kwon, Hyuk; Min, Byung Joo; Lee, Eui Jin; You, Byung Hoon [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

2006-07-01

According to the recent report by the OECD/NEA, there is a large imbalance between supply and demand of human resource in nuclear field. In the U.S., according to survey of Nuclear Engineering Department Heads Organization (NEDHO), 174 graduates in B.S or M.S degree were fed to nuclear industry in year 2004. Meanwhile, the total amount of demand in nuclear industry was about 642 engineers, which was approximately three times of the supply. In case of other developed western nations, the OECD/NEA report stated that the level of imbalance is similar to that of the U.S. However, nations having nuclear power development programs such as Korea, Japan and France seem to be in a different environment of supply and demand from that of the U.S. In this study, the difference of manpower status between the U.S and Korea has been investigated and the nuclear manpower required for the future in Korea is predicted. To investigate the factors making difference between the U.S. and NPP developing countries including Korea, a quantitative manpower planning model, Markov chains model, is applied. Since the Markov chains model has the strength of analyzing an inflow or push structure, the model fits the system governed by the inflow of manpower. A macroscopic status of manpower demand on nuclear industry is calculated up to 2015 using the Job coefficient (JC) and GDP, which are derived from the Survey for Roadmap of Electric Power Industry Manpower Planning. Furthermore, the total numbers of required manpower and supplied manpower up to 2030 were predicted by JC and Markov Chains model, respectively. Whereas the employee status of nuclear industries has been annually investigated by KAIF since 1995, the following data from the 10{sup th} survey and nuclear energy yearbooks from 1998 to 2005 are applied; (a) the status of the manpower demand of industry, (b) number of students entering, graduating and getting job in nuclear engineering.

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.

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.)

Food Security and the Justification of Productivism in New Zealand

Science.gov (United States)

Rosin, Christopher

2013-01-01

The spike in food commodity prices in 2007-2008 is frequently represented as a crisis for the global food system. Interpreted as a failure to achieve the utopian imperative to feed the world, the crisis can potentially expose the distortions inherent to the productivist ideology framing the existing system. As a result, it can act as a shock that…

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.

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.

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.

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...

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.

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...

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...

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.

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...

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...

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...

Industry Platforms and New Industrial Policy in Russia

Directory of Open Access Journals (Sweden)

Svetlana V. Orekhova

2017-12-01

Full Text Available The article aims at clarifying Russian industrial policy as a result of business models changing and market reconstruction. The research bass on the hypothesis that the choice of the industrial policy administrative measures depends on the object of management. It is important to link government regulation of markets with corporate strategies. We reveal that modern economic systems based on using of electronic technologies, big data, and innovative activity. Technological platforms as the single organizational and economic mechanisms affect economic systems very much. We study the content and main characteristics of a business model, is called the "technological platform". We also identify the main required changes in industrial policy. We analyze the matching between scientific and technological scenarios of the Russian economic development and the technological platform. There are two areas of the new industrial policy. They are: a multi-sectoral approach to regulating and improving the quality of the national institutional environment. The industrial and cluster management approaches are inefficient in modern conditions. There is a need for each platform of its technological development scenario. We also clarify the role of the state in the functioning of technological platforms.

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

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’.

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...

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.

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

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.

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

A carbon risk prediction model for Chinese heavy-polluting industrial enterprises based on support vector machine

International Nuclear Information System (INIS)

Zhou, Zhifang; Xiao, Tian; Chen, Xiaohong; Wang, Chang

2016-01-01

Chinese heavy-polluting industrial enterprises, especially petrochemical or chemical industry, labeled low carbon efficiency and high emission load, are facing the tremendous pressure of emission reduction under the background of global shortage of energy supply and constrain of carbon emission. However, due to the limited amount of theoretic and practical research in this field, problems like lacking prediction indicators or models, and the quantified standard of carbon risk remain unsolved. In this paper, the connotation of carbon risk and an assessment index system for Chinese heavy-polluting industrial enterprises (eg. coal enterprise, petrochemical enterprises, chemical enterprises et al.) based on support vector machine are presented. By using several heavy-polluting industrial enterprises’ related data, SVM model is trained to predict the carbon risk level of a specific enterprise, which allows the enterprise to identify and manage its carbon risks. The result shows that this method can predict enterprise’s carbon risk level in an efficient, accurate way with high practical application and generalization value.

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.

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...

Promoting Profit Model Innovation in Animation Project in Northeast Asia: Case Study on Chinese Cultural and Creative Industry

Directory of Open Access Journals (Sweden)

Hao Jiao

2017-12-01

Full Text Available Building on a case study of three animation companies in the Chinese cultural and creative industry, this study aims to understand how profit model innovation is promoted. Due to the rapidly changing environments and resource scarcity, cultural and creative companies need to select the appropriate profit model according to their own key resources. The study uncovers two critical factors that promote profit model innovation in animation projects: the quantity of consumers and their consumption intention. According to these two dimensions, the authors’ analysis shows profit model innovation in animation projects can be divided into Fans mode, Popular mode, Placement mode, and Failure mode, respectively. This study provides an empirical basis for advocating profit model innovation and discusses the resource requirements of Fan mode, Popular model, and Placement mode in China’s cultural and creative industry. The authors’ research also has managerial implications that might help firms promote profit model innovation. Finally, learning and promoting the profit model of China’s animation industry in the Northeast Asia area will be conducive to Northeast Asia’s cooperation and sustainable development.

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.

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.

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.

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

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 ...

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.)

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...

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

Neo-industrialization of Kuzbass economy in innovative development of coal industry and machinery

Directory of Open Access Journals (Sweden)

Balabanova Anna

2017-01-01

Full Text Available As part of rental-resource model and access restrictions to capital and new technologies, the attempts to encourage import substitution made by the government do not generate innovative type of economic development and reconstruction of economy’s manufacturing industry competitive on the domestic market. In conditions of searching for a new model of Russian economy development the analysis of a number of problems such as industry degradation, reducing the competitiveness of Russian producers, the growth of structural imbalances and overcoming the negative macroeconomic trends becomes strategically important. This raises the value of neo-industrialization as the integrator of resource security, scientific and industrial potential of Russian economy and high capacity of the domestic market in the innovative development system. A special role neo-industrialization plays for the economic development of old industrial regions, which include Kuzbass (Western Siberia, Russia. Neo-industrial development of Kuzbass economy should be initiated by the technological modernization of mining machinery and innovative development of coal industry.

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.

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.

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...

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.

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.

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...

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.

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.

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...

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.

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.

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

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.

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.

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.

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.

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.

Dynamic Modeling of Learning in Emerging Energy Industries: The Example of Advanced Biofuels in the United States: Preprint

Energy Technology Data Exchange (ETDEWEB)

Vimmerstedt, Laura J.; Bush, Brian W.; Peterson, Steven O.

2015-09-03

This paper (and its supplemental model) presents novel approaches to modeling interactions and related policies among investment, production, and learning in an emerging competitive industry. New biomass-to-biofuels pathways are being developed and commercialized to support goals for U.S. advanced biofuel use, such as those in the Energy Independence and Security Act of 2007. We explore the impact of learning rates and techno-economics in a learning model excerpted from the Biomass Scenario Model (BSM), developed by the U.S. Department of Energy and the National Renewable Energy Laboratory to explore the impact of biofuel policy on the evolution of the biofuels industry. The BSM integrates investment, production, and learning among competing biofuel conversion options that are at different stages of industrial development. We explain the novel methods used to simulate the impact of differing assumptions about mature industry techno-economics and about learning rates while accounting for the different maturity levels of various conversion pathways. A sensitivity study shows that the parameters studied (fixed capital investment, process yield, progress ratios, and pre-commercial investment) exhibit highly interactive effects, and the system, as modeled, tends toward market dominance of a single pathway due to competition and learning dynamics.

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.

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....

Price Rigidity and Industrial Concentration: Evidence from the Indonesian Food and Beverages Industry

NARCIS (Netherlands)

Setiawan, M.; Emvalomatis, G.; Oude Lansink, A.G.J.M.

2015-01-01

This paper investigates the relationship between industrial concentration and price rigidity in the Indonesian food and beverages industry. A Cournot model of firm behavior is used in which prices adjust according to a partial adjustment mechanism. The model is applied to panel data of the

Optimizing the Regional Industrial Structure Based on the Environmental Carrying Capacity: An Inexact Fuzzy Multi-Objective Programming Model

Directory of Open Access Journals (Sweden)

Wenyi Wang

2013-12-01

Full Text Available An inexact fuzzy multi-objective programming model (IFMOP based on the environmental carrying capacity is provided for industrial structure optimization problems. In the IFMOP model, both fuzzy linear programming (FLP and inexact linear programming (ILP methods are introduced into a multi-objective programming framework. It allows uncertainties to be directly communicated into the problem solving processing, and it can effectively reflect the complexity and uncertainty of an industrial system without impractical simplification. The two objective functions utilized in the optimization study are the maximum total output value and population size, and the constraints include water environmental capacity, water resource supply, atmospheric environmental capacity and energy supply. The model is subsequently employed in a realistic case for industrial development in the Tongzhou district, Beijing, China. The results demonstrate that the model can help to analyze whether the environmental carrying capacity of Tongzhou can meet the needs of the social economic objectives in the new town plan in the two scenarios and can assist decision makers in generating stable and balanced industrial structure patterns with consideration of the resources, energy and environmental constraints to meet the maximum social economic efficiency.

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

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.

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.

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.

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...

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.

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...

Personal Influence Model of Public Relations: A Case Study in Indonesia’s Mining Industry

Directory of Open Access Journals (Sweden)

Gregoria Arum Yudarwati

2013-11-01

Full Text Available Abstract: Studi kasus di industri pertambangan Indonesia dipilih sebagai jendela untuk memahami fungsi public relations (PR di era paska Suharto. Partisipan memandang era reformasi yang memungkinkan kebebasan berpendapat dan sistem desentralisasi sebagai pemicu untuk menyusun strategi public relations (PR yang baru dalam menjalin hubungan dengan publik. Personal relationship model of PR ditemukan sebagai model PR yang dominan di industri pertambangan Indonesia. Model ini dipilih sebagai strategi untuk membangun hubungan baik dengan orangorang kunci di komunitas yang dipahami sebagai masyarakat kolektif. Temuan ini mendukung proposisi yang menyatakan adanya pengaruh budaya setempat dan nilai-nilai lokal terhadap paktekPR.

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.

Robust modelling of heat-induced reactions in an industrial food production process exemplified by acrylamide generation in breakfast cereals

DEFF Research Database (Denmark)

Jensen, Bo Boye Busk; Lennox, Martin; Granby, Kit

2008-01-01

Data from an industrial case study of breakfast cereal production indicated that the generated amounts of acrylamide are greatly dependent upon the combined effects of temperature and heating time in a roasting step process. Two approaches to obtain process models for acrylamide generation were...... of difficulties in applying multi-parameter models and emphasized the advantages of "classical" approaches to process modelling, especially for use in an industrial context. The study faced with a significant degree of variability in the data, due to fluctuations in the process, which also emphasized...... the importance of robustness in the developed models. The correlations obtained for predicting acrylamide generation in the case study present a useful tool for food processing industry to minimize acrylamide generation. In the present case it was possible by lowering process temperature and prolonging residence...

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 ...

Using the Continuum of Design Modelling Techniques to Aid the Development of CAD Modeling Skills in First Year Industrial Design Students

Science.gov (United States)

Storer, I. J.; Campbell, R. I.

2012-01-01

Industrial Designers need to understand and command a number of modelling techniques to communicate their ideas to themselves and others. Verbal explanations, sketches, engineering drawings, computer aided design (CAD) models and physical prototypes are the most commonly used communication techniques. Within design, unlike some disciplines,…

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.

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...

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

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

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.)

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

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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.

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.

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

Management of logistics chains of industrial enterprises in high-tech industries

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Demchenko Alexander

2017-01-01

Full Text Available The article analyses the trends of high-tech industries development in the market globalization conditions. The economic growth of high-tech industries largely depends on technological innovations, products and equipment based on usage of the results of applied and fundamental scientific researches. It is shown that characteristics of high-tech productions influence the logistics chain structure. It justifies the importance to include partnering enterprises taking part in creation of intellectual and tangible assets in the logistic chain of the industrial enterprise. It is noted that development of production technologies contributes to formation of innovative logistic chains, which participants are enterprises cooperating for achievement of competitive power. The article offers a model of an industry logistic chain comprising the conventional logistic chain and innovative logistic chains corresponding to the industry market segments. It is proposed to use the customer value of the manufactured products as a criterion of the industrial enterprise’s logistic chains management efficiency. Implementation of the offered model of cooperation between the logistic chain participants is aimed at creation of a continuous innovations flow, reduction of technological development costs and uniting of the participants’ experience.

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)

Scheduling in the FMCG industry : an industrial case study

NARCIS (Netherlands)

Elzakker, van M.A.H.; Zondervan, E.; Raikar, N.B.; Grossmann, I.E.; Bongers, P.M.M.

2012-01-01

A problem-specific model is presented for the short-term scheduling problem in the Fast Moving Consumer Goods (FMCG) industry. To increase the computational efficiency, the limited intermediate inventory is modeled indirectly by relating mixing and packing intervals. In addition, the model size is

The Economic Benefits of Generation Revenue Assessment in Pool-Based Market Model for Restructured Electricity Supply Industry

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Ngadiron Zuraidah

2016-01-01

Full Text Available The electricity supply industry had undergo deregulation and restructuring toward becoming a more transparent and competitive electricity market environment. The pool market model is amongst the most preferred electricity market model. Even though it is a safe option to be more competitive and transparent electricity supply industry, there are issues on the welfare of the generators involved. This paper addresses the pricing issue in the pool market by extending the capacity payment mechanism in the single auction power pool. In the proposed model, the approach of minimum capacity payment involving the efficiency of the generators is introduced. A case study is conducted to illustrate the proposed model. An economic analysis is performed to highlight the merits of the proposed model with the pure pool in term of generation revenue.

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.

PENILAIAN TEKNOLOGI UNTUK MENENTUKAN POSISI INDUSTRI PESAING

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Wahyu Susihono

2013-02-01

Full Text Available PT Sumiati Ekspor Internasinal bergerak pada usaha penjualan handycraft yang dipasok oleh lima industri kecil binaannya. Perusahaan akan melakukan privatisasi dalam waktu dekat, manajer pusat menginginkan ada satu industri kecil mengambil alih pengelolaan. Pihak manajemen perusahaan menghendaki ada penilaian teknologi secara internal dan eksternal kepada lima industri kecil binaanya sebagai dasar pengambilan keputusan. Dalam Penelitian ini dilakukan penilaian kepada semua industri kecil pemasokhandycraft dengan pendekatan model teknometrik, yaitu memperkirakan derajat sophistication komponen teknologi, evaluasi tiap komponen technoware, humanware, inforware dan organware dan menilai state-of-the-art. Kuesioner yang disebarkan dari lima industri kecil diolah menggunakan pairwise comparison Analytic Hierarchy Process”(AHP, dilanjutkan dengan perhitungan TCC (Technology Contribution Coefficient. Penilaian internal perusahaan dilakukan dengan model DEA (data envelopment analysis. Hasil akhir TCC dan DEA secara kuantitatif dibandingkan. Hasil TCC (Technology Contribution Coefficient secara berturut-turut dari industry yang memperoleh nilai terbesar adalah Industri Maharani 52.23%, Industri Bestari 42.87%, Industri Priyo 41.51%, Industri Rizky 32.66%, Industri Teguh 31.93%. Unsur kontribusi teknologi terbesar yang dihasilkan industri Maharani adalah organware, sedangkan empat perusahaan lainnya humanware. Unsur teknologi yang harus dikembangkan dalam jangka pendek untuk semua industri kecil adalah technoware. Hasil penilaian internal perusahaan dengan model DEA menunjukan bahwa industri Maharani mempunyai rangking tertinggi, sedangkan Industri Rizki pada rangking terrendah. Model teknometrik dikombinasi pairwise comparison AHP dan DEA dapat membantu perusahaan besar melakukan penilaian teknologi kepada industri kecil sejenis. Kata Kunci : penilaian teknologi, model teknometrik, pairwise comparison AHP, DEA   Abstract Sumiati Export International

A Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem

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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.

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.

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.

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

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.

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.

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...

Modelling system development of risky industry on world experience base

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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.

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.

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...

Intra-industry adjustment to import competition: theory and application to the German clothing industry

OpenAIRE

Raff, Horst; Wagner, Joachim

2009-01-01

This paper uses an oligopoly model with heterogeneous firms to examine how an industry adjusts to rising import competition. The model predicts that in the short run the least efficient firms in the industry become inactive, surviving firms face a fall in output, mark-ups and profits, and the average productivity of survivors increases. These pro-competitive effects of import penetration on the domestic industry disappear in the long run. The predictions for the short run are confirmed in an ...

The Integrated Crisis Management Model for the Hotel Industry: Lowering Crisis Susceptibility and Strengthening Stakeholder Relationship Management

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Nicola ZECH

2016-03-01

Full Text Available This research paper focuses on crisis management processes within the hotel industry – an industry which still seems reluctant in implementing profound and structured crisis management concepts. Responses to crisis situations are mostly intuitive and ad-hoc. In times of high competition in almost all destinations, categories and conceptions no opportunity of convincing guests as well as all other stakeholders of a trustworthy management shall be missed in order to gain competitive advantage. Each corporate crisis affects several or all stakeholder groups of the organisation – to a varying extent. Stakeholders might either affect or be affected by the hotel organisation and the respective crisis management processes. Taking the manifold opportunities for co-operation of a hotel organisation and its respective stakeholder groups into consideration, an integrated crisis management model for the hotel industry is evolved based both on theoretical foundations and empirical findings from the analysis of expert interviews as well as stakeholder surveys. The model neutralizes the deficits and discrepancies revealed between general crisis management literature and status quo respectively specific prerequisites for the hotel industry.

Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management Programs: An Assessment of Performance Incentive Models

Science.gov (United States)

Gosman, Nathaniel

of alternative performance incentive program models to manage DSM risk in BC. Three performance incentive program models were assessed and compared to BC Hydro's current large industrial DSM incentive program, Power Smart Partners -- Transmission Project Incentives, itself a performance incentive-based program. Together, the selected program models represent a continuum of program design and implementation in terms of the schedule and level of incentives provided, the duration and rigour of measurement and verification (M&V), energy efficiency measures targeted and involvement of the private sector. A multi criteria assessment framework was developed to rank the capacity of each program model to manage BC large industrial DSM risk factors. DSM risk management rankings were then compared to program costeffectiveness, targeted energy savings potential in BC and survey results from BC industrial firms on the program models. The findings indicate that the reliability of DSM energy savings in the BC large industrial sector can be maximized through performance incentive program models that: (1) offer incentives jointly for capital and low-cost operations and maintenance (O&M) measures, (2) allow flexible lead times for project development, (3) utilize rigorous M&V methods capable of measuring variable load, process-based energy savings, (4) use moderate contract lengths that align with effective measure life, and (5) integrate energy management software tools capable of providing energy performance feedback to customers to maximize the persistence of energy savings. While this study focuses exclusively on the BC large industrial sector, the findings of this research have applicability to all energy utilities serving large, energy intensive industrial sectors.

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.

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...

Industry Platforms and New Industrial Policy in Russia

OpenAIRE

Svetlana V. Orekhova

2017-01-01

The article aims at clarifying Russian industrial policy as a result of business models changing and market reconstruction. The research bass on the hypothesis that the choice of the industrial policy administrative measures depends on the object of management. It is important to link government regulation of markets with corporate strategies. We reveal that modern economic systems based on using of electronic technologies, big data, and innovative activity. Technological platforms as the sin...

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”.

A practical model-based statistical approach for generating functional test cases: application in the automotive industry

OpenAIRE

Awédikian , Roy; Yannou , Bernard

2012-01-01

International audience; With the growing complexity of industrial software applications, industrials are looking for efficient and practical methods to validate the software. This paper develops a model-based statistical testing approach that automatically generates online and offline test cases for embedded software. It discusses an integrated framework that combines solutions for three major software testing research questions: (i) how to select test inputs; (ii) how to predict the expected...

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...

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...

Towards eco-agro industrial clusters in aquatic production: the case of shrimp processing industry in Vietnam

NARCIS (Netherlands)

Pham Thi Ahn,; Tran Thi My Dieu,; Mol, A.P.J.; Kroeze, C.; Bush, S.R.

2011-01-01

The concept of industrial ecology has been applied in this research to study possibilities to develop an eco-industrial cluster model for fishery production industry in Vietnam. By learning from experiments of other developed countries, we apply the principles of Industrial Ecology and of Ecological

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.

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.

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.

Combining computational modelling with radioisotope technology for a more cost- effective and time-efficient method of solving industrial and medical diagnostic problems

International Nuclear Information System (INIS)

Tu, J.Y.; Easey, J.F.; Burch, W.M.

1997-01-01

In this paper, some work on computational modelling for industrial operations and processes will be presented, for example, the modelling of fly-ash flow and the associated prediction of erosion in power utility boilers. The introduction and use of new formulations of encapsulated radioisotopes, currently being research at ANSTO, will open up further possibilities for the utilisation of radiotracer applications for a wider range of validation work not only in industrial but also in medical investigations. Applications of developed models to solving industrial problems will also be discussed in the paper

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

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

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.

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...

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.

Chemistry-Climate Interactions in the Goddard Institute for Space Studies General Circulation Model. 2; New Insights into Modeling the Pre-Industrial Atmosphere

Science.gov (United States)

Grenfell, J. Lee; Shindell, D. T.; Koch, D.; Rind, D.; Hansen, James E. (Technical Monitor)

2002-01-01

We investigate the chemical (hydroxyl and ozone) and dynamical response to changing from present day to pre-industrial conditions in the Goddard Institute for Space Studies General Circulation Model (GISS GMC). We identify three main improvements not included by many other works. Firstly, our model includes interactive cloud calculations. Secondly we reduce sulfate aerosol which impacts NOx partitioning hence Ox distributions. Thirdly we reduce sea surface temperatures and increase ocean ice coverage which impact water vapor and ground albedo respectively. Changing the ocean data (hence water vapor and ozone) produces a potentially important feedback between the Hadley circulation and convective cloud cover. Our present day run (run 1, control run) global mean OH value was 9.8 x 10(exp 5) molecules/cc. For our best estimate of pre-industrial conditions run (run 2) which featured modified chemical emissions, sulfate aerosol and sea surface temperatures/ocean ice, this value changed to 10.2 x 10(exp 5) molecules/cc. Reducing only the chemical emissions to pre-industrial levels in run 1 (run 3) resulted in this value increasing to 10.6 x 10(exp 5) molecules/cc. Reducing the sulfate in run 3 to pre-industrial levels (run 4) resulted in a small increase in global mean OH (10.7 x 10(exp 5) molecules/cc). Changing the ocean data in run 4 to pre-industrial levels (run 5) led to a reduction in this value to 10.3 x 10(exp 5) molecules/cc. Mean tropospheric ozone burdens were 262, 181, 180, 180, and 182 Tg for runs 1-5 respectively.

Analyzing Taiwan IC Assembly Industry by Grey-Markov Forecasting Model

Directory of Open Access Journals (Sweden)

Lei-Chuan Lin

2013-01-01

Full Text Available This study utilizes the black swan theorem to discuss how to face the lack of historical data and outliers. They may cause huge influences which make it impossible for people to predict the economy from their knowledge or experiences. Meanwhile, they cause the general dilemma of which prediction tool to be used which is also considered in this study. For the reason above, this study uses 2009 Q1 to 2010 Q4 quarterly revenue trend of Taiwan’s semiconductor packaging and testing industry under the global financial turmoil as basis and the grey prediction method to deal with nonlinear problems and small data. Under the lack of information and economic drastic changes, this study applies Markov model to predict the industry revenues of GM(1,1 and DGM(1,1 results. The results show that the accuracy of 2010 Q1–Q3 is 88.37%, 90.27%, sand 91.13%, respectively. Besides, they are better than the results of GM(1,1 and DGM(1,1 which are 86.51%, 77.35%, 75.46% and 73.77%, 74.25%, 59.72%. The results show that the prediction ability of the grey prediction with Markov model is better than traditional GM(1,1 and DGM(1,1 sfacing the changes of financial crisis. The results also prove that the grey-Markov chain prediction can be the perfect criterion for decision-makers judgment even when the environment has undergone drastic changes which bring the impact of unpredictable conditions.

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.

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.

Development Of Entrepreneur Learning Model Based On Problem Based Learning To Increase Competency Independence And Creativity Students Of Industrial Engineering

Directory of Open Access Journals (Sweden)

Leola Dewiyani

2017-10-01

Full Text Available Currently it is undeniable that the competition to get a job is very tight and of course universities have an important role in printing human resources that can compete globally not least with the Department of Industrial Engineering Faculty of Engineering Muhammadiyah University of Jakarta FT UMJ. Problems that occur is based on the analysis obtained from the track record of graduates researchers found that 60 percent of students of Industrial Engineering FT UMJ work not in accordance with the level of education owned so financially their income is still below the standard. This study aims to improve the competence of students of Industrial Engineering Department FT UMJ in entrepreneurship courses especially through the development of Problem Based Learning based learning model. Specific targets of this research were conducted with the aim to identify and analyze the need to implement learning model based on Problem Based Learning Entrepreneurship and to design and develop the model of entrepreneurship based on Problem Based Learning to improve the competence independence and creativity of Industrial Engineering students of FT UMJ in Entrepreneurship course. To achieve the above objectives this research uses research and development R amp D method. The product produced in this research is the detail of learning model of entrepreneurial model based on Problem Based Learning entrepreneurship model based on Problem Based Learning and international journals

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.

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

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.

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...

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.

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. 

APLIKASI STRUCTURAL EQUATION MODEL (SEM DALAM PENENTUAN ALTERNATIF PENGELOLAAN LINGKUNGAN INDUSTRI KOMPONEN ALAT BERAT BERBASIS PARTISIPASI DAN KEMITRAAN MASYARAKAT

Directory of Open Access Journals (Sweden)

Budi Setyo Utomo

2012-07-01

Full Text Available As a company engaged in the industrial sector by producing certain components and localized in an industrial area, there will be an impact on the environment. These impacts can be positive in the form of employment, reducing dependence on imported heavy equipment, increase in foreign exchange due to reduced imports and increased exports, increased government revenue from taxes, public facilities improvement and supporting infrastructure, and opening up opportunities for other related industries. These impacts can also be negative in the form of environmental degradation such as noise disturbance, dust, and micro climate change, and changes in social and cultural conditions surrounding the industry. Data analysis was performed descriptively and with the Structural Equation Model (SEM. SEM is a multivariate statistical technique which is a combination of factor analysis and regression analysis (correlation, which aims to test the connections between existing variables in a model, whether it is between the indicator with the construct, or the connections between constructs. SEM model consists of two parts, which is the latent variable model and the observed variable model. In contrast to ordinary regression linking the causality between the observed variables, it is also possible in SEM to identify the causality between latent variables. The results of SEM analysis showed that the developed model has a fairly high level of validity that is shown by the minimum fit chi-square value of 93.15 (P = 0.00029. Based on said model, it shows that the company's performance in waste management is largely determined by employee integrity and objectivity of the new employees followed later by the independence of the employees in waste management. The most important factor that determines the employee integrity in waste management in the model is honesty, individual wisdom, and a sense of responsibility. The most important factor in the employee objectivity

Size distribution and concentrations of heavy metals in atmospheric aerosols originating from industrial emissions as predicted by the HYSPLIT model

Science.gov (United States)

Chen, Bing; Stein, Ariel F.; Maldonado, Pabla Guerrero; Sanchez de la Campa, Ana M.; Gonzalez-Castanedo, Yolanda; Castell, Nuria; de la Rosa, Jesus D.

2013-06-01

This study presents a description of the emission, transport, dispersion, and deposition of heavy metals contained in atmospheric aerosols emitted from a large industrial complex in southern Spain using the HYSPLIT model coupled with high- (MM5) and low-resolution (GDAS) meteorological simulations. The dispersion model was configured to simulate eight size fractions (17 μm) of metals based on direct measurements taken at the industrial emission stacks. Twelve stacks in four plants were studied and the stacks showed considerable differences for both emission fluxes and size ranges of metals. We model the dispersion of six major metals; Cr, Co, Ni, La, Zn, and Mo, which represent 77% of the total mass of the 43 measured elements. The prediction shows that the modeled industrial emissions produce an enrichment of heavy metals by a factor of 2-5 for local receptor sites when compared to urban and rural background areas in Spain. The HYSPLIT predictions based on the meteorological fields from MM5 show reasonable consistence with the temporal evolution of concentrations of Cr, Co, and Ni observed at three sites downwind of the industrial area. The magnitude of concentrations of metals at two receptors was underestimated for both MM5 (by a factor of 2-3) and GDAS (by a factor of 4-5) meteorological runs. The model prediction shows that heavy metal pollution from industrial emissions in this area is dominated by the ultra-fine (<0.66 μm) and fine (<2.5 μm) size fractions.

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.

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...

Academic Medical Centers as Innovation Ecosystems: Evolution of Industry Partnership Models Beyond the Bayh-Dole Act.

Science.gov (United States)

Silva, Patrick J; Ramos, Kenneth S

2018-04-17

Innovation ecosystems tied to academic medical centers (AMCs) are inextricably linked to policy, practices, and infrastructure resulting from the passage of the Bayh-Dole Act in 1980. Bayh-Dole smoothed the way to patenting and licensing new drugs, and to some degree, medical devices and diagnostic reagents. Property rights under Bayh-Dole provided a significant incentive for industry investments in clinical trials, clinical validation, and industrial scale-up of products that advanced health care. Bayh-Dole amplified private investment in biotechnology drug development, and from the authors' perspective did not significantly interfere with the ability of AMCs to produce excellent peer-reviewed science. In today's policy environment, it is increasingly difficulty to patent and license products based on the laws of nature - as the scope of patentability has been narrowed by case law and development of a suitable clinical and business case for the technology is increasingly a gating consideration for licensees. Consequently, fewer academic patents are commercially valuable. The role of technology transfer organizations in engaging industry partners has thus become increasingly complex. The partnering toolbox and the organizational mandate for commercialization must evolve toward novel collaborative models that exploit opportunities for future patent creation (early drug discovery), data exchange (precision medicine using big data), cohort assembly (clinical trials), and decision rule validation (clinical trials). These inputs all contribute to intellectual property rights, and their clinical exploitation manifests the commercialization of translational science. New collaboration models between AMCs and industry must be established to leverage the assets within AMCs that industry partners deem valuable.

Free surface flows in industry

OpenAIRE

Murphy, Ellen

2014-01-01

peer-reviewed Applied mathematicians have long sourced problems from industrial processes. The relationship between mathematics and industry is mutually beneficial. Mathematical models provide industry with invaluable insights into the fundamental physical processes at play in a system and give mathematicians the opportunity to apply known techniques to new problems. In this thesis, two independent problems originating in industrial processes are studied, with a common featu...

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)

Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective

Directory of Open Access Journals (Sweden)

Sunil Luthra

2011-07-01

Full Text Available Purpose: Green Supply Chain Management (GSCM has received growing attention in the last few years. Most of the automobile industries are setting up their own manufacturing plants in competitive Indian market. Due to public awareness, economic, environmental or legislative reasons, the requirement of GSCM has increased.  In this context, this study aims to develop a structural model of the barriers to implement GSCM in Indian automobile industry.Design/methodology/approach: We have identified various barriers and contextual relationships among the identified barriers. Classification of barriers has been carried out based upon dependence and driving power with the help of MICMAC analysis. In addition to this, a structural model of barriers to implement GSCM in Indian automobile industry has also been put forward using Interpretive Structural Modeling (ISM technique. Findings: Eleven numbers of relevant barriers have been identified from literature and subsequent discussions with experts from academia and industry. Out of which, five numbers of barriers have been identified as dependent variables; three number of barriers have been identified as the driver variables and three number of barriers have been identified as the linkage variables. No barrier has been identified as autonomous variable. Four barriers have been identified as top level barriers and one bottom level barrier. Removal of these barriers has also been discussed.Research limitations/implications: A hypothetical model of these barriers has been developed based upon experts’ opinions. The conclusions so drawn may be further modified to apply in real situation problem. Practical implications: Clear understanding of these barriers will help organizations to prioritize better and manage their resources in an efficient and effective way.Originality/value: Through this paper we contribute to identify the barriers to implement GSCM in Indian automobile industry and to prioritize them

Project-oriented management of industrial production of fire and rescue equipment by means of geometric modelling

OpenAIRE

Rak, Iu; Bondarenko, V.

2013-01-01

Objective: The objective of the research is to develop a method based on the geometric modelling for the purpose of improving the effectiveness of fire protection project management in industrial production of fire protection technology systems. Methods: The theoretical inheritance mode of effective management in project-organizational structure of fire protection and specialized technical equipment production using geometric modelling. Results: Mathematical and geometric models of project ma...

Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model

International Nuclear Information System (INIS)

Xu, Bin; Lin, Boqiang

2016-01-01

Highlights: • We explore the driving forces of the iron and steel industry’s CO 2 emissions in China. • Energy efficiency plays a dominant role in reducing carbon dioxide emissions. • Urbanization has significant effect on CO 2 emissions due to mass real estate construction. • The role of economic growth in reducing emissions is more important than industrialization. - Abstract: Energy saving and carbon dioxide emission reduction in China is attracting increasing attention worldwide. At present, China is in the phase of rapid urbanization and industrialization, which is characterized by rapid growth of energy consumption and carbon dioxide (CO 2 ) emissions. China’s steel industry is highly energy-consuming and pollution-intensive. Between 1980 and 2013, the carbon dioxide emissions in China’s steel industry increased approximately 11 times, with an average annual growth rate of 8%. Identifying the drivers of carbon dioxide emissions in the iron and steel industry is vital for developing effective environmental policies. This study uses Vector Autoregressive model to analyze the influencing factors of the changes in carbon dioxide emissions in the industry. The results show that energy efficiency plays a dominant role in reducing carbon dioxide emissions. Urbanization also has significant effect on CO 2 emissions because of mass urban infrastructure and real estate construction. Economic growth has more impact on emission reduction than industrialization due to the massive fixed asset investment and industrial energy optimization. These findings are important for the relevant authorities in China in developing appropriate energy policy and planning for the iron and steel industry.

Empirical models for end-use properties prediction of LDPE: application in the flexible plastic packaging industry

Directory of Open Access Journals (Sweden)

Maria Carolina Burgos Costa

2008-03-01

Full Text Available The objective of this work is to develop empirical models to predict end use properties of low density polyethylene (LDPE resins as functions of two intrinsic properties easily measured in the polymers industry. The most important properties for application in the flexible plastic packaging industry were evaluated experimentally for seven commercial polymer grades. Statistical correlation analysis was performed for all variables and used as the basis for proper choice of inputs to each model output. Intrinsic properties selected for resin characterization are fluidity index (FI, which is essentially an indirect measurement of viscosity and weight average molecular weight (MW, and density. In general, models developed are able to reproduce and predict experimental data within experimental accuracy and show that a significant number of end use properties improve as the MW and density increase. Optical properties are mainly determined by the polymer morphology.

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.

Servitization in industry

CERN Document Server

2014-01-01

Presenting both a comprehensive collection of sectorial studies of servitization in manufacturing industries, on the one hand, and research investigating the necessity to adapt various processes and departments of manufacturing companies to servitized business models, on the other, ‘Servitization in Industry’ informs the scientific and managerial servitization debate with recent data regarding industrial servitization models. This book provides detailed analyses of manufacturing sectors that elucidate the options and barriers related to servitization from a sector-based perspective. This sector-based approach allows for an individual and in-depth examination of recent relationships among manufacturers and their clients by explaining leads and lags in servitization. Serving to maximize reader insight into the specific characteristics of different sectors with their barriers and potentials, the book presents frameworks for successful servitization of the core sectors in European manufacturing industries whi...

Decoupling of industrial energy consumption and CO2-emissions in energy-intensive industries in Scandinavia

International Nuclear Information System (INIS)

Enevoldsen, Martin K.; Ryelund, Anders V.; Andersen, Mikael Skou

2007-01-01

As methodology the ex-post analysis deserves more attention as a device to calibrate energy sector models. This paper studies the impact of energy prices and taxes on energy efficiency and carbon emissions of ten industrial sectors in the three Scandinavian countries. A database with sector-specific energy prices and taxes has been established, which allows the analysis to take various price reductions and tax exemptions better into account. A translog factor demand system estimation for a cross industry pooled model is explored and fixed effects across industries and time is estimated. The findings here confirm recent analyses which indicate higher long-term elasticities for industries than normally assumed in Scandinavian energy-sector models. With the observations on differences in energy-intensities among sectors and countries the findings allow for some optimism as to the opportunities for further decoupling between trends in gross value added, carbon emissions and energy consumption

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...

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

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.

Historicism and Industry Emergence

DEFF Research Database (Denmark)

Kirsch, David; Moeen, Mahka; Wadhwani, Dan

2014-01-01

Management and organization scholars have increasingly turned to historical sources to examine the emergence and evolution of industries over time. This scholarship has typically used historical evidence as observations for testing theoretically relevant processes of industry emergence....... In this chapter, an alternative approach is explored that focuses on reconstructing causes and processes that time and theory have erased. The emergence of three industries—plant biotechnology, savings banking, and the automobile—shows how time, along with prevailing functional models of industry evolution, leads...... excluded phenomena and explanations, reconstructing uncertainty and alternative paths of industry emergence, and studying the processes of information elision and exclusion in the formation of industry knowledge....

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

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.

Collaborative consumption : live fashion, don’t own it : developing new business models for the fashion industry

OpenAIRE

Duml, Valeria; Perlacia, Anna Soler

2016-01-01

The rise of collaborative consumption is a phenomenon that appeared in many industries, such as in space sharing (e.g. Airbnb), car sharing (e.g. Uber), video streaming (e.g. Netflix), and more recently also in the fashion industry. This has prompted fashion companies to innovate their business models and start changing the way of doing business (e.g. Rent the Runway, Tradesy, and Vestiaire Collective). Through a qualitative and exploratory study based on a sample of twenty-six companies, thi...

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.

Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production

International Nuclear Information System (INIS)

Wickart, Marcel; Madlener, Reinhard

2007-01-01

In this paper we develop an economic model that explains the decision-making problem under uncertainty of an industrial firm that wants to invest in a process technology. More specifically, the decision is between making an irreversible investment in a combined heat-and-power production (cogeneration) system, or to invest in a conventional heat-only generation system (steam boiler) and to purchase all electricity from the grid. In our model we include the main economic and technical variables of the investment decision process. We also account for the risk and uncertainty inherent in volatile energy prices that can greatly affect the valuation of the investment project. The dynamic stochastic model presented allows us to simultaneously determine the optimal technology choice and investment timing. We apply the theoretical model and illustrate our main findings with a numerical example that is based on realistic cost values for industrial oil- or gas-fired cogeneration and heat-only generation in Switzerland. We also briefly discuss expected effects of a CO 2 tax on the investment decision

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

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.

A Military and Industry Partnership Program: The Transfer of Military Simulation Technology Into Commercial Industry

National Research Council Canada - National Science Library

McGuire, William

1997-01-01

This research thesis is a study through a military commercial industry partnership to seek whether investments in military modeling and simulation can be easily transferred to benefit commercial industry...

Industrial numerical analysis

International Nuclear Information System (INIS)

McKee, S.; Elliott, C.M.

1986-01-01

The applications of mathematics to industrial problems involves the formulation of problems which are amenable to mathematical investigation, mathematical modelling, the solution of the mathematical problem and the inter-pretation of the results. There are 12 chapters describing industrial problems where mathematics and numerical analysis can be applied. These range from the numerical assessment of the flatness of engineering surfaces and plates, the design of chain links, control problems in tidal power generation and low thrust satellite trajectory optimization to mathematical models in welding. One chapter, on the ageing of stainless steels, is indexed separately. (UK)

Industrialized Innovation: The Connection of Science & Technology Innovation with Industrial Innovation

Institute of Scientific and Technical Information of China (English)

Yinxing Hong; Yao Lu; Jianghuai Zheng

2017-01-01

In light of the relationship and the current disconnection between science & technology (S&T) innovation and industrial innovation in China,it is necessary to put forward and emphasize the concept of industrialized innovation.Industrialized innovation is the bridge and intermediation between S&T innovation and industrial innovation,which is not only a concept,but also a mechanism and combination force.There are two ways to achieve industrialized innovation:through industry-university-research coordination and through technology entrepreneurship.The meaning of industry-university-research coordination is not about coordination among industry,university and research sectors in an institutional sense;rather it is about the coordination of the functions of cultivation and development in new industries,new technologies,and new talents of industrialized innovation.The incentive mechanism for industrialized innovation should motivate not only innovation but also coordination.Technology entrepreneurship is the industrialization of new technology through business start-ups,which occurs beyond the stage of incubation and development of new technology.The capital of technology entrepreneurship is the set consisting of knowledge capital manifested through technological innovation,human capital manifested through entrepreneurs,and physical capital in the form of venture capital.While physical capital is indispensable,knowledge capital and human capital play the decisive role in technology entrepreneurship.The industrialization of technological innovation involves two requirements:one is to enable the new technology industry to achieve a large scale rapidly,and the other is to fully realize the potential value of the new technology.Both requirements are reliant on effective innovation in business models.

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.

18th European Conference on Mathematics for Industry

CERN Document Server

Capasso, Vincenzo; Nicosia, Giuseppe; Romano, Vittorio

2016-01-01

This book presents a collection of papers emphasizing applications of mathematical models and methods to real-world problems of relevance for industry, life science, environment, finance, and so on. The biannual Conference of ECMI (the European Consortium of Mathematics in Industry) held in 2014 focused on various aspects of industrial and applied mathematics. The five main topics addressed at the conference were mathematical models in life science, material science and semiconductors, mathematical methods in the environment, design automation and industrial applications, and computational finance. Several other topics have been treated, such as, among others, optimization and inverse problems, education, numerical methods for stiff pdes, model reduction, imaging processing, multi physics simulation, mathematical models in textile industry. The conference, which brought together applied mathematicians and experts from industry, provided a unique opportunity to exchange ideas, problems and methodologies...

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…

La crise écologique exige une révolution de l’économie des services

Directory of Open Access Journals (Sweden)

Jean Gadrey

2008-09-01

Full Text Available Pour construire une économie écologique des services, il faut d’abord s’intéresser aux bilans écologiques complets de ces activités. Il apparaît alors que l’immatérialité parfois supposée des services est un mythe. Il pourrait bien en résulter des freins à l’expansion future des services dans l’emploi, dès lors que leurs externalités environnementales seraient internalisées et que l’agriculture et l’industrie seraient réorientées sur une voie non productiviste. Mais ces bilans et prospectives doivent être effectués à un niveau sectoriel plus fin que la trilogie traditionnelle.In order to build ecological economics of services, we need first to investigate the question of the environmental pressure that services exert and how to measure it. It appears that the alleged immateriality of services in largely a myth. Consequently, the trend towards increased service-sector employment could possibly be affected or even reversed, as far as environmental externalities are internalized and agriculture and manufacturing reoriented on a nonproductiviste way. But such an analysis ought to be carried out at a more detailed industry level than the traditional division in three sectors.

Financial risk of the biotech industry versus the pharmaceutical industry.

Science.gov (United States)

Golec, Joseph; Vernon, John A

2009-01-01

The biotech industry now accounts for a substantial and growing proportion of total R&D spending on new medicines. However, compared with the pharmaceutical industry, the biotech industry is financially fragile. This article illustrates the financial fragility of the biotech and pharmaceutical industries in the US and the implications of this fragility for the effects that government regulation could have on biotech firms. Graphical analysis and statistical tests were used to show how the biotech industry differs from the pharmaceutical industry. The two industries' characteristics were measured and compared, along with various measures of firms' financial risk and sensitivity to government regulation. Data from firms' financial statements provided accounting-based measures and firms' stock returns applied to a multifactor asset pricing model provided financial market measures. The biotech industry was by far the most research-intensive industry in the US, averaging 38% R&D intensity (ratio of R&D spending to total firm assets) over the past 25 years, compared with an average of 25% for the pharmaceutical industry and 3% for all other industries. Biotech firms exhibited lower and more volatile profits and higher market-related and size-related risk, and they suffered more negative stock returns in response to threatened government price regulation. Biotech firms' financial risks increase their costs of capital and make them more sensitive to government regulations that affect their financial prospects. As biotech products grow to represent a larger share of new medicines, general stock market conditions and government regulations could have a greater impact on the level of innovation of new medicines.

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.

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.

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...