WorldWideScience

Sample records for intelligent risk management

  1. Virtual Enterprise Risk Management Using Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    Hanning Chen

    2010-01-01

    Full Text Available Virtual enterprise (VE has to manage its risk effectively in order to guarantee the profit. However, restricting the risk in a VE to the acceptable level is considered difficult due to the agility and diversity of its distributed characteristics. First, in this paper, an optimization model for VE risk management based on distributed decision making model is introduced. This optimization model has two levels, namely, the top model and the base model, which describe the decision processes of the owner and the partners of the VE, respectively. In order to solve the proposed model effectively, this work then applies two powerful artificial intelligence optimization techniques known as evolutionary algorithms (EA and swarm intelligence (SI. Experiments present comparative studies on the VE risk management problem for one EA and three state-of-the-art SI algorithms. All of the algorithms are evaluated against a test scenario, in which the VE is constructed by one owner and different partners. The simulation results show that the PS2O algorithm, which is a recently developed SI paradigm simulating symbiotic coevolution behavior in nature, obtains the superior solution for VE risk management problem than the other algorithms in terms of optimization accuracy and computation robustness.

  2. Business intelligence for improving supply chain risk management

    NARCIS (Netherlands)

    Liu, L.; Daniels, H.A.M.; van Oosterhout, M.; van Dalen, J.

    2014-01-01

    The risk management over a supply chain has to be founded on the risk management in each of partner companies in the chain. The business relationship and operations dependence inevitably bind the management control efforts of partner companies together. This proposes challenges for supply chain risk

  3. Operational Risk Management A Practical Approach to Intelligent Data Analysis

    CERN Document Server

    Kenett, Ron

    2010-01-01

    The book will introduce modern Operational Risk (OpR) Management and illustrates the various sources of OpR assessment and OpR mitigation. This book discusses how various data sources can be integrated and analyzed and how OpR is synergetic to other risk management activities such as Financial Risk Management and Internationalization. The topics will include state of the art technology such as semantic analysis, ontology engineering, data mining and statistical analysis.

  4. Business intelligence for improving supply chain risk management

    NARCIS (Netherlands)

    Liu, L.; Daniels, H.A.M.; Hofman, W.; Hammoudi, S.; Cordeiro, J.; Maciaszek, L.A.; Filipe, J.

    2014-01-01

    The risk management over a supply chain has to be founded on the management controls in each of the partner companies in the chain. Inevitably, the business relationship and operations dependence bind the control efforts of partner companies together. This proposes challenges for supply chain risk

  5. The use of intelligent systems for risk management in software projects

    Directory of Open Access Journals (Sweden)

    Oksana A. Gushchina

    2017-06-01

    Full Text Available Introduction: The article identifies the main risks of a software project, examines the use of different types of intelligent systems in the risk management process for software projects, discusses the basic methods used for process estimation and forecasting in the field of software engineering, identifies currently used empty expert systems, software systems for analysis and risk management of software projects. Materials and Methods: The author describes the peculiarities of risk management in the field of software engineering with involvement of intelligent systems. The intelligent techniques allow solving the control task with expert precision without the involvement of human experts. Results: The result of this work: – identification of the key risks of a software project (tax, legal, financial and commercial risks, IT risks, personnel risks, risks related to competitors, suppliers, marketing and demand and market; – investigation of the current, applied to risk management of software system projects, artificial intelligence, particularly expert systems and software tools for evaluation of the process results; – identification of the most popular empty expert systems (Clips, G2 and Leonardo and software products of the analysis of large databases (Orange, Weka, Rattle GUI, Apache Mahout, SCaViS, RapidMiner, Databionic ESOM Tools, ELKI, KNIME, Pandas and UIMA; – consideration of the cluster, correlation, regression, factor and dispersion analysis methods for the estimation and prediction of the processes of software engineering. Discussion and Conclusions: The results show the feasibility of the application of various intelligent systems in the risk management process. The analysis of methods of evaluating risks and the tendency of their application in the modern systems of intellectual analysis can serve as a start point for creating a unified system of risk management for software projects of medium and high complexity with a

  6. A Risk Radar driven by Internet of intelligences serving for emergency management in community.

    Science.gov (United States)

    Huang, Chongfu; Wu, Tong; Renn, Ortwin

    2016-07-01

    Today, most of the commercial risk radars only have the function to show risks, as same as a set of risk matrixes. In this paper, we develop the Internet of intelligences (IOI) to drive a risk radar monitoring dynamic risks for emergency management in community. An IOI scans risks in a community by 4 stages: collecting information and experience about risks; evaluating risk incidents; verifying; and showing risks. Employing the information diffusion method, we optimized to deal with the effective information for calculating risk value. Also, a specific case demonstrates the reliability and practicability of risk radar. Copyright © 2016 Elsevier Inc. All rights reserved.

  7. Risk intelligence: How lessons from folktales/fables contribute to the implementation of risk management in banks

    Directory of Open Access Journals (Sweden)

    Sivave Mashingaidze

    2015-10-01

    Full Text Available The objective of this article is to outline credit risk in banks and how fables/folktales can provide with life lessons to implement risk management systems that should act as a stop-gate measure. Banking institutions need to show how proactively managing risk becomes a cornerstone to explore opportunities, rather than simply avoiding dynamites. Risk Intelligence gives companies the confidence to harness risk to explore new opportunities. Lessons were provided from folktales/fables from the animal kingdom. The article adopted a literature review methodology and the results were that, for a business to be successful the medicine does not lie in the policies but the therapy lies in the spirit of oneness in the banks from top management down to the shop floor employee in the branch. By working together the banks can afford to curb credit risks.

  8. Risk and Disaster Management: From Planning and Expertise to Smart, Intelligent, and Adaptive Systems.

    Science.gov (United States)

    Benis, Arriel; Notea, Amos; Barkan, Refael

    2018-01-01

    "Disaster" means some surprising and misfortunate event. Its definition is broad and relates to complex environments. Medical Informatics approaches, methodologies and systems are used as a part of Disaster and Emergency Management systems. At the Holon Institute of Technology - HIT, Israel, in 2016 a National R&D Center: AFRAN was established to study the disaster's reduction aspects. The Center's designation is to investigate and produce new approaches, methodologies and to offer recommendations in the fields of disaster mitigation, preparedness, response and recovery and to disseminate disaster's knowledge. Adjoint to the Center a "Smart, Intelligent, and Adaptive Systems" laboratory (SIAS) was established with the goal to study the applications of Information and Communication Technologies (ICT) and Artificial Intelligence (AI) to Risk and Disaster Management (RDM). In this paper, we are redefining the concept of Disaster, pointing-out how ICT, AI, in the Big Data era, are central players in the RDM game. In addition we show the merit of the Center and lab combination to the benefit of the performed research projects.

  9. Intelligent systems/software engineering methodology - A process to manage cost and risk

    Science.gov (United States)

    Friedlander, Carl; Lehrer, Nancy

    1991-01-01

    A systems development methodology is discussed that has been successfully applied to the construction of a number of intelligent systems. This methodology is a refinement of both evolutionary and spiral development methodologies. It is appropriate for development of intelligent systems. The application of advanced engineering methodology to the development of software products and intelligent systems is an important step toward supporting the transition of AI technology into aerospace applications. A description of the methodology and the process model from which it derives is given. Associated documents and tools are described which are used to manage the development process and record and report the emerging design.

  10. A long-term risk management tool for electricity markets using swarm intelligence

    International Nuclear Information System (INIS)

    Azevedo, F.; Vale, Z.A.; Khodr, H.M.; Oliveira, P.B. Moura

    2010-01-01

    This paper addresses the optimal involvement in derivatives electricity markets of a power producer to hedge against the pool price volatility. To achieve this aim, a swarm intelligence meta-heuristic optimization technique for long-term risk management tool is proposed. This tool investigates the long-term opportunities for risk hedging available for electric power producers through the use of contracts with physical (spot and forward contracts) and financial (options contracts) settlement. The producer risk preference is formulated as a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance of return and the expectation are based on a forecasted scenario interval determined by a long-term price range forecasting model. This model also makes use of particle swarm optimization (PSO) to find the best parameters allow to achieve better forecasting results. On the other hand, the price estimation depends on load forecasting. This work also presents a regressive long-term load forecast model that make use of PSO to find the best parameters as well as in price estimation. The PSO technique performance has been evaluated by comparison with a Genetic Algorithm (GA) based approach. A case study is presented and the results are discussed taking into account the real price and load historical data from mainland Spanish electricity market demonstrating the effectiveness of the methodology handling this type of problems. Finally, conclusions are dully drawn. (author)

  11. An intelligent system for helping petroleum industry risk management decision making

    Energy Technology Data Exchange (ETDEWEB)

    Barreto, Mara M.G.; Ebecken, Nelson F.F. [Universidade Federal, Rio de Janeiro, RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia

    1998-07-01

    The objective of this paper is to present an intelligent system for helping in decision making about risk analysis in petroleum industry management. Such a system supports explicit inconsistencies in its knowledge bases, and is able to solve it by means of a decision's procedure, in which Fuzzy Logic is used. Expert Systems which knowledge bases carry out explicitly inconsistencies are called paraconsistent systems and were initially proposed by Da Costa and Subrahmanian. The defuzzyfication process of a paraconsistent model was already suggested by Barreto, Ebecken and Clement, and established by Barreto and Ebecken. In Barreto, Ebecken and Clemente show an application of this model for helping in decision making in a business situation. The system that will be presented here is a simulation of many possible applications of this model, and helps the analyses of risk business petroleum project's investment, and, it is desirable, can point out some possibilities of getting out difficulties when the risk is increased. In the introduction, we define some risk result's indicators to be considered, such as, petroleum business project duration, staffing, priority; and we define the system's logical structure. In the Overriding Part, firstly, we show the implemented system's , simulation, how it works, how to get outputs from the given and how to analyze the final results, and explicit the methods used in situations where the inconsistencies appear giving comments about the critical situations. Finally, in the conclusion, we comment the coherence of results, and give comments about some others applications of this kind of systems. (author)

  12. The Implications of Integrating Governance, Risk and Compliance in Business Intelligence Systems on Corporate Performance Management

    NARCIS (Netherlands)

    J.J. Madlener (Jos)

    2009-01-01

    textabstractThe last decade organizations have understood more and more the importance of enforcing achievement of the goals defined by their strategy through metrics-driven management. The data warehousing process in Business Intelligence Systems, though supporting bottomup extraction of

  13. REDUCTION OF SYSTEMIC RISK IN SERBIA THROUGH INTELLIGENT RISK MANAGEMENT IN STATE-OWNED ENTERPRISES

    OpenAIRE

    Dragan Đuričin; Iva Vuksanović

    2012-01-01

    These days, the effects of the combined crisis in Serbia have been larger than ever. Serbia was already in a transitional recession when it entered global economic crisis of 2008. The global double dip recession and this domestic recession, caused by structural imbalances before and during the transition, exacerbate each other's negative effects. Consequently, companies find themselves exposed to systemic (or external) risk that is beyond their control, and is continually increasing. The curr...

  14. Intelligent Vehicle Health Management

    Science.gov (United States)

    Paris, Deidre E.; Trevino, Luis; Watson, Michael D.

    2005-01-01

    As a part of the overall goal of developing Integrated Vehicle Health Management systems for aerospace vehicles, the NASA Faculty Fellowship Program (NFFP) at Marshall Space Flight Center has performed a pilot study on IVHM principals which integrates researched IVHM technologies in support of Integrated Intelligent Vehicle Management (IIVM). IVHM is the process of assessing, preserving, and restoring system functionality across flight and ground systems (NASA NGLT 2004). The framework presented in this paper integrates advanced computational techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of INM. These real-time responses allow the IIVM to modify the affected vehicle subsystem(s) prior to a catastrophic event. Furthermore, the objective of this pilot program is to develop and integrate technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear the INM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition, to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission

  15. An investigation on the effects of financial management skills, wealth and financial intelligence on investors’ risk tolerance: Empirical evidence from Tehran Stock Exchange

    Directory of Open Access Journals (Sweden)

    Saied Aghasi

    2014-05-01

    Full Text Available During the past few years, Tehran Stock Exchange (TSE has been changed into one of the most popular places to invest and index has been quadrupled in fewer than three years. As a result, many people have been attracted to invest on TSE market. This paper presents an empirical investigation to study the effects of investors’ personal characteristics including financial management skills, wealth and financial intelligence on investors’ risk tolerance among 384 randomly chosen investors who were active on TSE market in city of Esfahan, Iran. Using structural equation modeling, the study has determined that financial management skills, wealth and financial intelligence influence positively on investors’ risk tolerance.

  16. Adapting risk management and computational intelligence network optimization techniques to improve traffic throughput and tail risk analysis.

    Science.gov (United States)

    2014-04-01

    Risk management techniques are used to analyze fluctuations in uncontrollable variables and keep those fluctuations from impeding : the core function of a system or business. Examples of this are making sure that volatility in copper and aluminum pri...

  17. Intelligent Integrated System Health Management

    Science.gov (United States)

    Figueroa, Fernando

    2012-01-01

    Intelligent Integrated System Health Management (ISHM) is the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system (Management: storage, distribution, sharing, maintenance, processing, reasoning, and presentation). Presentation discusses: (1) ISHM Capability Development. (1a) ISHM Knowledge Model. (1b) Standards for ISHM Implementation. (1c) ISHM Domain Models (ISHM-DM's). (1d) Intelligent Sensors and Components. (2) ISHM in Systems Design, Engineering, and Integration. (3) Intelligent Control for ISHM-Enabled Systems

  18. Intelligence Community Programs, Management, and Enduring Issues

    Science.gov (United States)

    2016-11-08

    books, journal papers, conference presentations, working papers, and other electronic and print publications. Intelligence Community Programs... Intelligence Community Programs, Management, and Enduring Issues Anne Daugherty Miles Analyst in Intelligence and National Security Policy...

  19. Business Intelligence in Hospital Management.

    Science.gov (United States)

    Escher, Achim; Hainc, Nicolin; Boll, Daniel

    2016-01-01

    Business intelligence (BI) is a worthwhile investment, and will play a significant role in hospital management in the near future. Implementation of BI is challenging and requires resources, skills, and a strategy, but enables management to have easy access to relevant analysis of data and visualization of important key performance indicators (KPI). Modern BI applications will help to overcome shortages of common "hand-made" analysis, save time and money, and will enable even managers to do "self-service" analysis and reporting.

  20. Risk management

    OpenAIRE

    Mcmanus, John

    2009-01-01

    Few projects are completed on time, on budget, and to their original requirement or specifications. Focusing on what project managers need to know about risk in the pursuit of delivering projects, Risk Management covers key components of the risk management process and the software development process, as well as best practices for risk identification, risk planning, and risk analysis. The book examines risk planning, risk analysis responses to risk, the tracking and modelling of risks, intel...

  1. Intelligent energy management; Intelligentes Energiemanagement

    Energy Technology Data Exchange (ETDEWEB)

    Schmidt, Carsten [Siemens AG, Nuernberg (Germany). Bereich Sales and Marketing; Kunzmann, Geo [Siemens AG, Nuernberg (Germany). Bereich Business Development

    2010-03-15

    As energy is getting shorter and increasingly expensive while consumption is increasing and legal regulations are getting stricter, intelligent energy management is becoming more necessary than ever. The autors propose an integrated strategy of ''identification - evaluation - saving''. They present a scalable energy management software that works also with existing hardware and helps to develop even savings potentials that are not identifiable at first glance. (orig.)

  2. Software for Intelligent System Health Management

    Science.gov (United States)

    Trevino, Luis C.

    2004-01-01

    This viewgraph presentation describes the characteristics and advantages of autonomy and artificial intelligence in systems health monitoring. The presentation lists technologies relevant to Intelligent System Health Management (ISHM), and some potential applications.

  3. Business Intelligence and Performance Management

    OpenAIRE

    TANASE, George Cosmin

    2015-01-01

    Globalisation, volatile markets, legal changes and technical progress have an immense impact on business environments in most industries. More and more IT is deployed to manage the complexity. As a result, companies and organisations have to handle growing volumes of data which have become a valuable asset. The ability to benefit from this asset is increasingly essential for business success. Therefore, fast storage, reliable data access, intelligent information retrieval, and new decision-ma...

  4. Effective Risk Management in Innovative Projects: A Case Study of the Construction of Energy-efficient, Sustainable Building of the Laboratory of Intelligent Building in Cracow

    Science.gov (United States)

    Krechowicz, Maria

    2017-10-01

    Many construction projects fail to meet deadlines or they exceed the assumed budget. This scenario is particularly common in the case of innovative projects, in which too late identification of a high risk of delays and exceeding the assumed costs makes a potentially profitable project untenable. A high risk level, far exceeding the level of risk in standard non-innovative projects, is a characteristic feature of the realization phase of innovative projects. This is associated not only with greater complexity of the design and construction phases, but also with the problems with application of new technologies and prototype solutions, lack of qualified personnel with suitable expertise in specialized areas, and with the ability to properly identify the gaps between available and required knowledge and skills. This paper discusses the process of effective risk management in innovative projects on the example of the realization phase of an innovative, energy-efficient and sustainable building of the Laboratory of Intelligent Building in Cracow - DLJM Lab, from the point of view of DORBUD S.A., its general contractor. In this paper, a new approach to risk management process for innovative construction projects is proposed. Risk management process was divided into five stages: gathering information, identification of the important unwanted events, first risk assessment, development and choice of risk reaction strategies, assessment of the residual risk after introducing risk reactions. 18 unwanted events in an innovative construction project were identified. The first risk assessment was carried out using two-parametric risk matrix, in which the probability of unwanted event occurrence and its consequences were analysed. Three levels of risks were defined: tolerable, controlled and uncontrolled. Risk reactions to each defined unwanted event were developed. The following risk reaction types were considered: risk retention, risk reduction, risk transfer and risk

  5. Emotional Intelligence and risk taking in investment decision-making

    OpenAIRE

    Enrico Rubaltelli; Sergio Agnoli; Michela Rancan; Tiziana Pozzoli

    2015-01-01

    Previous work on investment decision-making suggested that emotions prevent investors from taking risks and from investing in a rational way, whereas other work found that there is great variability in people’s ability to manage and use emotional feedbacks. We hypothesized that people with high trait emotional intelligence should be more willing, than people with low trait emotional intelligence, to accept risks when making an investment. Data supported a model in which trait emotional intell...

  6. Using business intelligence to manage supply costs.

    Science.gov (United States)

    Bunata, Ernest

    2013-08-01

    Business intelligence tools can help materials managers and managers in the operating room and procedural areas track purchasing costs more precisely and determine the root causes of cost increases. Data can be shared with physicians to increase their awareness of the cost of physician preference items. Proper use of business intelligence goes beyond price benchmarking to manage price performance over time.

  7. Artificial intelligence and knowledge management

    OpenAIRE

    Hoesch, Hugo Cesar; Barcellos, Vânia

    2006-01-01

    This article intends to make an analysis about the Artificial Intelligence (AI) and the Knowledge Management (KM). Faced with the dualism mind and body how we be able to see it AI? It doesn’t intent to create identical copy of human being, but try to find the better form to represent all the knowledge contained in our minds. The society of the information lives a great paradox, at the same time that we have access to an innumerable amount of information, the capacity and the forms of its proc...

  8. Artificial Intelligence and Information Management

    Science.gov (United States)

    Fukumura, Teruo

    After reviewing the recent popularization of the information transmission and processing technologies, which are supported by the progress of electronics, the authors describe that by the introduction of the opto-electronics into the information technology, the possibility of applying the artificial intelligence (AI) technique to the mechanization of the information management has emerged. It is pointed out that althuogh AI deals with problems in the mental world, its basic methodology relies upon the verification by evidence, so the experiment on computers become indispensable for the study of AI. The authors also describe that as computers operate by the program, the basic intelligence which is concerned in AI is that expressed by languages. This results in the fact that the main tool of AI is the logical proof and it involves an intrinsic limitation. To answer a question “Why do you employ AI in your problem solving”, one must have ill-structured problems and intend to conduct deep studies on the thinking and the inference, and the memory and the knowledge-representation. Finally the authors discuss the application of AI technique to the information management. The possibility of the expert-system, processing of the query, and the necessity of document knowledge-base are stated.

  9. An Architectural Modelfor Intelligent Network Management

    Institute of Scientific and Technical Information of China (English)

    罗军舟; 顾冠群; 费翔

    2000-01-01

    Traditional network management approach involves the management of each vendor's equipment and network segment in isolation through its own proprietary element management system. It is necessary to set up a new network management architecture that calls for operation consolidation across vendor and technology boundaries. In this paper, an architectural model for Intelligent Network Management (INM) is presented. The INM system includes a manager system, which controls all subsystems and coordinates different management tasks; an expert system, which is responsible for handling particularly difficult problems, and intelligent agents, which bring the management closer to applications and user requirements by spreading intelligent agents through network segments or domain. In the expert system model proposed, especially an intelligent fault management system is given.The architectural model is to build the INM system to meet the need of managing modern network systems.

  10. Application of artificial intelligence to risk analysis for forested ecosystems

    Science.gov (United States)

    Daniel L. Schmoldt

    2001-01-01

    Forest ecosystems are subject to a variety of natural and anthropogenic disturbances that extract a penalty from human population values. Such value losses (undesirable effects) combined with their likelihoods of occurrence constitute risk. Assessment or prediction of risk for various events is an important aid to forest management. Artificial intelligence (AI)...

  11. Risk management.

    Science.gov (United States)

    Chambers, David W

    2010-01-01

    Every plan contains risk. To proceed without planning some means of managing that risk is to court failure. The basic logic of risk is explained. It consists in identifying a threshold where some corrective action is necessary, the probability of exceeding that threshold, and the attendant cost should the undesired outcome occur. This is the probable cost of failure. Various risk categories in dentistry are identified, including lack of liquidity; poor quality; equipment or procedure failures; employee slips; competitive environments; new regulations; unreliable suppliers, partners, and patients; and threats to one's reputation. It is prudent to make investments in risk management to the extent that the cost of managing the risk is less than the probable loss due to risk failure and when risk management strategies can be matched to type of risk. Four risk management strategies are discussed: insurance, reducing the probability of failure, reducing the costs of failure, and learning. A risk management accounting of the financial meltdown of October 2008 is provided.

  12. Artificial intelligence and process management

    International Nuclear Information System (INIS)

    Epton, J.B.A.

    1989-01-01

    Techniques derived from work in artificial intelligence over the past few decades are beginning to change the approach in applying computers to process management. To explore this new approach and gain real practical experience of its potential a programme of experimental applications was initiated by Sira in collaboration with the process industry. This programme encompassed a family of experimental applications ranging from process monitoring, through supervisory control and troubleshooting to planning and scheduling. The experience gained has led to a number of conclusions regarding the present level of maturity of the technology, the potential for further developments and the measures required to secure the levels of system integrity necessary in on-line applications to critical processes. (author)

  13. Management Intelligent Systems : First International Symposium

    CERN Document Server

    Martínez-López, Francisco; Rodríguez, Juan

    2012-01-01

    The 2012 International Symposium on Management Intelligent Systems is believed to be the first international forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; i.e., what we propose to be named as Management Intelligent Systems (MiS). The three-day event aimed to bring together researchers interested in this promising interdisciplinary field who came from areas as varied as management, marketing, and business in general, computer science, artificial intelligence, statistics, etc. This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service person...

  14. Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

    Science.gov (United States)

    Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha

    2014-01-01

    Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…

  15. Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies.

    Science.gov (United States)

    Podgórski, Daniel; Majchrzycka, Katarzyna; Dąbrowska, Anna; Gralewicz, Grzegorz; Okrasa, Małgorzata

    2017-03-01

    Recent developments in domains of ambient intelligence (AmI), Internet of Things, cyber-physical systems (CPS), ubiquitous/pervasive computing, etc., have led to numerous attempts to apply ICT solutions in the occupational safety and health (OSH) area. A literature review reveals a wide range of examples of smart materials, smart personal protective equipment and other AmI applications that have been developed to improve workers' safety and health. Because the use of these solutions modifies work methods, increases complexity of production processes and introduces high dynamism into thus created smart working environments (SWE), a new conceptual framework for dynamic OSH management in SWE is called for. A proposed framework is based on a new paradigm of OSH risk management consisting of real-time risk assessment and the capacity to monitor the risk level of each worker individually. A rationale for context-based reasoning in SWE and a respective model of the SWE-dedicated CPS are also proposed.

  16. Identifying intelligent Building Management Systems (BMS) in ...

    African Journals Online (AJOL)

    Identifying intelligent Building Management Systems (BMS) in sustainable housing. ... Journal of Fundamental and Applied Sciences ... attention to the principles of sustainability of energy and organized approach to sustainable development.

  17. A measurement model of multiple intelligence profiles of management graduates

    Science.gov (United States)

    Krishnan, Heamalatha; Awang, Siti Rahmah

    2017-05-01

    In this study, developing a fit measurement model and identifying the best fitting items to represent Howard Gardner's nine intelligences namely, musical intelligence, bodily-kinaesthetic intelligence, mathematical/logical intelligence, visual/spatial intelligence, verbal/linguistic intelligence, interpersonal intelligence, intrapersonal intelligence, naturalist intelligence and spiritual intelligence are the main interest in order to enhance the opportunities of the management graduates for employability. In order to develop a fit measurement model, Structural Equation Modeling (SEM) was applied. A psychometric test which is the Ability Test in Employment (ATIEm) was used as the instrument to measure the existence of nine types of intelligence of 137 University Teknikal Malaysia Melaka (UTeM) management graduates for job placement purposes. The initial measurement model contains nine unobserved variables and each unobserved variable is measured by ten observed variables. Finally, the modified measurement model deemed to improve the Normed chi-square (NC) = 1.331; Incremental Fit Index (IFI) = 0.940 and Root Mean Square of Approximation (RMSEA) = 0.049 was developed. The findings showed that the UTeM management graduates possessed all nine intelligences either high or low. Musical intelligence, mathematical/logical intelligence, naturalist intelligence and spiritual intelligence contributed highest loadings on certain items. However, most of the intelligences such as bodily kinaesthetic intelligence, visual/spatial intelligence, verbal/linguistic intelligence interpersonal intelligence and intrapersonal intelligence possessed by UTeM management graduates are just at the borderline.

  18. Emotional intelligence, risk perception in abstinent cocaine dependent individuals.

    Science.gov (United States)

    Romero-Ayuso, Dulce; Mayoral-Gontán, Yolanda; Triviño-Juárez, José-Matías

    2016-01-01

    Cocaine is now responsible for the second-highest number of cessation intervention requests. In this study we analyze the different skills of emotional intelligence in cocaine- dependent patients maintaining abstinence. The Mayer- Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the Balloon Analogue Risk Task (BART) were administered to 50 subjects (25 individuals with no history of drug use and 25 individuals in treatment at the Addictive Behaviors Unit in a state of withdrawal at the time of evaluation). The results showed differences between these groups in overall emotional intelligence quotient, strategic emotional intelligence, understanding emotions and emotional management. Cocaine-addicted participants showed difficulties in analyzing complex emotions and regulating their emotional response, aspects that can interfere with interactions in daily life.

  19. Assessing risk from intelligent attacks: A perspective on approaches

    International Nuclear Information System (INIS)

    Guikema, Seth D.; Aven, Terje

    2010-01-01

    Assessing the uncertainties in and severity of the consequences of intelligent attacks are fundamentally different from risk assessment for accidental events and other phenomena with inherently random failures. Intelligent attacks against a system involve adaptation on the part of the adversary. The probabilities of the initiating events depend on the risk management actions taken, and they may be more difficult to assess due to high degrees of epistemic uncertainty about the motivations and future actions of adversaries. Several fundamentally different frameworks have been proposed for assessing risk from intelligent attacks. These include basing risk assessment and management on game theoretic modelling of attacker actions, using a probabilistic risk analysis (PRA) approach based on eliciting probabilities of different initiating events from appropriate experts, assessing uncertainties beyond probabilities and expected values, and ignoring the probabilities of the attacks and choosing to protect highest valued targets. In this paper we discuss and compare the fundamental assumptions that underlie each of these approaches. We then suggest a new framework that makes the fundamental assumptions underlying the approaches clear to decision makers and presents them with a suite of results from conditional risk analysis methods. Each of the conditional methods presents the risk from a specified set of fundamental assumptions, allowing the decision maker to see the impacts of these assumptions on the risk management strategies considered and to weight the different conditional results with their assessments of the relative likelihood of the different sets of assumptions.

  20. Leadership vs. Management From Competitive Intelligence Perspective

    Directory of Open Access Journals (Sweden)

    Valeriu Ivan

    2015-05-01

    Full Text Available This paper brings into attention a less studies topic: the analysis and intelligence productionspecificity – as competitive intelligence process stage – given that the beneficiary is practicing classic management or leadership. The contextualization of the issue imposed us to separate the two concepts from the current debates perspective regarding the relationship between management and leadership. We did this in respect of the competition and competitiveness. Although that report is not clearly and definitively established, we tried to identify the main characteristics and essential differences in the approach of the actionable information needs. The obtained results were correlated with the competitive intelligence cycle stages, in order to identify the approach similarities and differences for each stage. Subsequently, we suggested models of possible approaches in the information analysis and intelligence production activity in order for the resulted informational product to fulfil their role as decision support in competitiveness augmenting.

  1. Adding intelligence to scientific data management

    Science.gov (United States)

    Campbell, William J.; Short, Nicholas M., Jr.; Treinish, Lloyd A.

    1989-01-01

    NASA plans to solve some of the problems of handling large-scale scientific data bases by turning to artificial intelligence (AI) are discussed. The growth of the information glut and the ways that AI can help alleviate the resulting problems are reviewed. The employment of the Intelligent User Interface prototype, where the user will generate his own natural language query with the assistance of the system, is examined. Spatial data management, scientific data visualization, and data fusion are discussed.

  2. Software for Intelligent System Health Management (ISHM)

    Science.gov (United States)

    Trevino, Luis C.

    2004-01-01

    The slide presentation is a briefing in four areas: overview of health management paradigms; overview of the ARC-Houston Software Engineering Technology Workshop held on April 20-22, 2004; identified technologies relevant to technical themes of intelligent system health management; and the author's thoughts on these topics.

  3. An Intelligence Collection Management Model.

    Science.gov (United States)

    1984-06-01

    classification of inteligence collection requirements in terms of. the a-.- metnodo"c, .ev--e in Chaster Five. 116 APPgENDIX A A METHOD OF RANKING...of Artificial Intelligence Tools and Technigues to!TN’X n~l is n rs aa~emfft-.3-ufnyva: ’A TZ Ashby W. Ecss. An Introduction to Cybernetics. New York

  4. All-source Information Management and Integration for Improved Collective Intelligence Production

    Science.gov (United States)

    2011-06-01

    Intelligence (ELINT) • Open Source Intelligence ( OSINT ) • Technical Intelligence (TECHINT) These intelligence disciplines produce... intelligence , measurement and signature intelligence , signals intelligence , and open - source data, in the production of intelligence . All- source intelligence ...All- Source Information Integration and Management) R&D Project 3 All- Source Intelligence

  5. Applied software risk management a guide for software project managers

    CERN Document Server

    Pandian, C Ravindranath

    2006-01-01

    Few software projects are completed on time, on budget, and to their original specifications. Focusing on what practitioners need to know about risk in the pursuit of delivering software projects, Applied Software Risk Management: A Guide for Software Project Managers covers key components of the risk management process and the software development process, as well as best practices for software risk identification, risk planning, and risk analysis. Written in a clear and concise manner, this resource presents concepts and practical insight into managing risk. It first covers risk-driven project management, risk management processes, risk attributes, risk identification, and risk analysis. The book continues by examining responses to risk, the tracking and modeling of risks, intelligence gathering, and integrated risk management. It concludes with details on drafting and implementing procedures. A diary of a risk manager provides insight in implementing risk management processes.Bringing together concepts ...

  6. Management Intelligent Systems : 2nd International Symposium

    CERN Document Server

    Martínez-López, Francisco; Vicari, Rosa; Prieta, Fernando

    2013-01-01

    This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; what we call Management Intelligent Systems (MiS).   This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, an...

  7. Creating Business Intelligence from Course Management Systems

    Science.gov (United States)

    van Dyk, Liezl; Conradie, Pieter

    2007-01-01

    Purpose: This article seeks to address the interface between individual learning facilitators that use course management systems (CMS) data to support decision-making and course design and institutional infrastructure providers that are responsible for institutional business intelligence. Design/methodology/approach: The design of a data warehouse…

  8. Artificial Intelligence Applications to Fire Management

    Science.gov (United States)

    Don J. Latham

    1987-01-01

    Artificial intelligence could be used in Forest Service fire management and land-use planning to a larger degree than is now done. Robots, for example, could be programmed to monitor for fire and insect activity, to keep track of wildlife, and to do elementary thinking about the environment. Catching up with the fast-changing technology is imperative.

  9. Managing emotions - an ability of emotional intelligence.

    OpenAIRE

    Correia, Ana Almeida; Veiga-Branco, Augusta

    2011-01-01

    This study focuses on the concept Managing Emotions from Emotional Intelligence (I.E.), (Mayer-Salovey, 1990, 1997, Goleman, 1995), also identified as Emotional Regulation (Bisquerra, 2000), to obtain recognition and practical use of this concept, through the use of Emotional Fitness charts (Bimbela-Pedrola, 2008), to develop these abilities and manage emotions in contexts of practical life. Objective: To train preschool teachers, as well as primary and lower secondary sc...

  10. Using Intelligent Agents to Manage Business Processes

    OpenAIRE

    Jennings, N. R.; Faratin, P.; Johnson, M. J.; O'Brien, P.; Wiegand, M. E.

    1996-01-01

    Management of the business process requires pertinent, consistent and up-to-date information gathering and information dissemination. These complex and time consuming tasks prompt organizations to develop an Information Technology system to assist with the management of various aspects of their business processes. Intelligent agents are the strongest solution candidates because of their many advantages, namely: autonomy, social ability, responsiveness and proactiveness. Given these characteri...

  11. Managing risks

    International Nuclear Information System (INIS)

    Nathwani, J.S.

    1993-01-01

    The three principles to guide regulating authorities are: Risks shall be managed to maximize the total expected net benefit to society; The safety benefit to be promoted is quality-adjusted life expectancy; Decisions for the public in regard to health and safety must be open and apply across the entire range of hazards to life and health. Based on the principle that excessive spending on health and safety, or lack of necessary development, may cause poverty and thereby actually decrease (adjusted) life expectancy, the author has developed a Life Product Index which gives comparable results to the Human Development Index promoted by the United Nations Development Program. These two social indicators can be used for purposes such as project evaluation, choosing between alternative technologies, or evaluation of health and safety programs

  12. Intelligent distributed medical image management

    Science.gov (United States)

    Garcia, Hong-Mei C.; Yun, David Y.

    1995-05-01

    The rapid advancements in high performance global communication have accelerated cooperative image-based medical services to a new frontier. Traditional image-based medical services such as radiology and diagnostic consultation can now fully utilize multimedia technologies in order to provide novel services, including remote cooperative medical triage, distributed virtual simulation of operations, as well as cross-country collaborative medical research and training. Fast (efficient) and easy (flexible) retrieval of relevant images remains a critical requirement for the provision of remote medical services. This paper describes the database system requirements, identifies technological building blocks for meeting the requirements, and presents a system architecture for our target image database system, MISSION-DBS, which has been designed to fulfill the goals of Project MISSION (medical imaging support via satellite integrated optical network) -- an experimental high performance gigabit satellite communication network with access to remote supercomputing power, medical image databases, and 3D visualization capabilities in addition to medical expertise anywhere and anytime around the country. The MISSION-DBS design employs a synergistic fusion of techniques in distributed databases (DDB) and artificial intelligence (AI) for storing, migrating, accessing, and exploring images. The efficient storage and retrieval of voluminous image information is achieved by integrating DDB modeling and AI techniques for image processing while the flexible retrieval mechanisms are accomplished by combining attribute- based and content-based retrievals.

  13. Applying business intelligence innovations to emergency management.

    Science.gov (United States)

    Schlegelmilch, Jeffrey; Albanese, Joseph

    2014-01-01

    The use of business intelligence (BI) is common among corporations in the private sector to improve business decision making and create insights for competitive advantage. Increasingly, emergency management agencies are using tools and processes similar to BI systems. With a more thorough understanding of the principles of BI and its supporting technologies, and a careful comparison to the business model of emergency management, this paper seeks to provide insights into how lessons from the private sector can contribute to the development of effective and efficient emergency management BI utilisation.

  14. Risk management

    International Nuclear Information System (INIS)

    Magne, L.

    1999-01-01

    There is always a risk of an accident occurring at a nuclear power plant, however small. The problem lies in estimating the probability of it occurring. The method of probabilistic safety assessment provides this estimate, and by identifying the sources of potential risk, makes it possible to prevent them from occurring. It is not, however, a substitute for other decision-making processes. (author)

  15. Intelligent power system data management systems (DBMS)

    Energy Technology Data Exchange (ETDEWEB)

    Middleton, A.; Macdonald, E. [GE Digital Energy, Markham, ON (Canada); Schreiner, Z. [Intelligent Process Solutions GmbH, Lindau (Germany); Bizjak, J. [Elektro Ljubljana d.d., Ljubljana (Slovenia)

    2010-07-01

    Network owners/operators from around the world have moved from electromechanical products to intelligent electronic devices (IEDs). Most networks have a multi-generation technology mix because protection assets have a normal application lifespan of between 10 and 40 years. Associated data capture and maintenance management regimes have therefore moved from paper based into digitized media, creating a significant increase in the volume of acquired data, such that there is now a mix of paper and digitized storage. Data is rarely consolidated or used for decision making in asset management processes once testing is completed, having a major impact on overall power system reliability. This paper presented the concept of intelligent operative maintenance management, now becoming more recognized in the industry. The concept was described as the management of operational data, resulting actions and responses, wherever and by whoever they are needed, without any additional overhead. The paper discussed new techniques of testing as well as planning and operative maintenance. The practical benefits of the new system were also presented, with particular reference to central management; simplification of routine protocols; secondary testing; and reduced cost of data handling. It was concluded that the main benefit from all of the techniques discussed in this paper is that experienced expert test engineers can focus more time upon making good, critical decisions to ensure that utilities maximize their customer service and safety regimes. 13 refs., 7 figs.

  16. NASA's Risk Management System

    Science.gov (United States)

    Perera, Jeevan S.

    2011-01-01

    Leadership is key to success. Phased-approach for implementation of risk management is necessary. Risk management system will be simple, accessible and promote communication of information to all relevant stakeholders for optimal resource allocation and risk mitigation. Risk management should be used by all team members to manage risks -- risk office personnel. Each group is assigned Risk Integrators who are facilitators for effective risk management. Risks will be managed at the lowest-level feasible, elevate only those risks that require coordination or management from above. Risk reporting and communication is an essential element of risk management and will combine both qualitative and quantitative elements. Risk informed decision making should be introduced to all levels of management. Provide necessary checks and balances to insure that risks are caught/identified and dealt with in a timely manner. Many supporting tools, processes & training must be deployed for effective risk management implementation. Process improvement must be included in the risk processes.

  17. Intelligent management in the knowledge economy

    DEFF Research Database (Denmark)

    Junghagen, Sven; Linderoth, Henrik

    The knowledge economy is a notion that has been used, since the 1990s, to describe a new economic order perceived by scholars and practitioners. The authors argue that this order, triggered by new information and communication technologies, has resulted in a different set of challenges...... for effective management of the contemporary firm. Knowledge will play an important role in managing these challenges, with the onus being on new hardware and software as much as how businesses can be organized with regard to relationships with customers and suppliers. This volume shows how "intelligent...... management will be the key to how internal operations can be organized, in order to take advantage of opportunities brought about by new technologies. This change in management is discussed throughout the book from a wide array of perspectives ranging from contextual and philosophical aspects, through tools...

  18. The intelligent user interface for NASA's advanced information management systems

    Science.gov (United States)

    Campbell, William J.; Short, Nicholas, Jr.; Rolofs, Larry H.; Wattawa, Scott L.

    1987-01-01

    NASA has initiated the Intelligent Data Management Project to design and develop advanced information management systems. The project's primary goal is to formulate, design and develop advanced information systems that are capable of supporting the agency's future space research and operational information management needs. The first effort of the project was the development of a prototype Intelligent User Interface to an operational scientific database, using expert systems and natural language processing technologies. An overview of Intelligent User Interface formulation and development is given.

  19. NASA's Risk Management System

    Science.gov (United States)

    Perera, Jeevan S.

    2013-01-01

    Phased-approach for implementation of risk management is necessary. Risk management system will be simple, accessible and promote communication of information to all relevant stakeholders for optimal resource allocation and risk mitigation. Risk management should be used by all team members to manage risks - not just risk office personnel. Each group/department is assigned Risk Integrators who are facilitators for effective risk management. Risks will be managed at the lowest-level feasible, elevate only those risks that require coordination or management from above. Risk informed decision making should be introduced to all levels of management. ? Provide necessary checks and balances to insure that risks are caught/identified and dealt with in a timely manner. Many supporting tools, processes & training must be deployed for effective risk management implementation. Process improvement must be included in the risk processes.

  20. Assessment of Logistics Risk using Collective Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    Skitsko Volodymyr I.

    2017-12-01

    Full Text Available In substantiating management decisions in logistics, there can be used various economic and mathematical methods and models for quantitative risk assessment constructed with the help of a variety of instruments. Due to the increase in the processing power of computer equipment, economic and mathematical models become more complex, more precise, and the range of modeling tools expands. The current promising area in mathematical modeling is collective artificial intelligence, with the help of which it is possible to effectively solve weakly structured, multi-criteria, multi-purpose, complex economic problems. The mathematical model of the bat algorithm, the basic rules and steps of its functioning are presented, the application of the bat algorithm to solve the multi-index transport problem in the formulation of which the logistics risk is taken into account is shown, and the way to assess the logistics risk using the results of the functioning of the bat algorithm is shown.

  1. Risk Management in Complex Construction Projects that Apply Renewable Energy Sources: A Case Study of the Realization Phase of the Energis Educational and Research Intelligent Building

    Science.gov (United States)

    Krechowicz, Maria

    2017-10-01

    Nowadays, one of the characteristic features of construction industry is an increased complexity of a growing number of projects. Almost each construction project is unique, has its project-specific purpose, its own project structural complexity, owner’s expectations, ground conditions unique to a certain location, and its own dynamics. Failure costs and costs resulting from unforeseen problems in complex construction projects are very high. Project complexity drivers pose many vulnerabilities to a successful completion of a number of projects. This paper discusses the process of effective risk management in complex construction projects in which renewable energy sources were used, on the example of the realization phase of the ENERGIS teaching-laboratory building, from the point of view of DORBUD S.A., its general contractor. This paper suggests a new approach to risk management for complex construction projects in which renewable energy sources were applied. The risk management process was divided into six stages: gathering information, identification of the top, critical project risks resulting from the project complexity, construction of the fault tree for each top, critical risks, logical analysis of the fault tree, quantitative risk assessment applying fuzzy logic and development of risk response strategy. A new methodology for the qualitative and quantitative risk assessment for top, critical risks in complex construction projects was developed. Risk assessment was carried out applying Fuzzy Fault Tree analysis on the example of one top critical risk. Application of the Fuzzy sets theory to the proposed model allowed to decrease uncertainty and eliminate problems with gaining the crisp values of the basic events probability, common during expert risk assessment with the objective to give the exact risk score of each unwanted event probability.

  2. Intelligent techniques in engineering management theory and applications

    CERN Document Server

    Onar, Sezi

    2015-01-01

    This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

  3. Integrated Systems Health Management for Intelligent Systems

    Science.gov (United States)

    Figueroa, Fernando; Melcher, Kevin

    2011-01-01

    The implementation of an integrated system health management (ISHM) capability is fundamentally linked to the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system. It is akin to having a team of experts who are all individually and collectively observing and analyzing a complex system, and communicating effectively with each other in order to arrive at an accurate and reliable assessment of its health. In this paper, concepts, procedures, and approaches are presented as a foundation for implementing an intelligent systems ]relevant ISHM capability. The capability stresses integration of DIaK from all elements of a system. Both ground-based (remote) and on-board ISHM capabilities are compared and contrasted. The information presented is the result of many years of research, development, and maturation of technologies, and of prototype implementations in operational systems.

  4. Intelligent decision making in quality management theory and applications

    CERN Document Server

    Yanık, Seda

    2016-01-01

      This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.  .

  5. Intelligent Management of Intelligence Agencies: Beyond Accountability Ping-Pong

    Science.gov (United States)

    Tetlock, Philip E.; Mellers, Barbara A.

    2011-01-01

    The intelligence community (IC) is asked to predict outcomes that may often be inherently unpredictable--and is blamed for the inevitable forecasting failures, be they false positives or false negatives. To move beyond blame games of accountability ping-pong that incentivize bureaucratic symbolism over substantive reform, it is necessary to reach…

  6. Analytical, Practical and Emotional Intelligence and Line Manager Competencies

    Directory of Open Access Journals (Sweden)

    Anna Baczyńska

    2015-12-01

    Full Text Available Purpose: The research objective was to examine to what extent line manager competencies are linked to intelligence, and more specifically, three types of intelligence: analytical (fluid, practical and emotional. Methodology: The research was carried out with line managers (N=98 who took part in 12 Assessment Centre sessions and completed tests measuring analytical, practical and emotional intelligence. The adopted hypotheses were tested using a multiple regression. In the regression model, the dependent variable was a managerial competency (management and striving for results, social skills, openness to change, problem solving, employee development and the explanatory variables were the three types of intelligence. Five models, each for a separate management competency, were tested in this way. Findings: In the study, it was hypothesized that practical intelligence relates to procedural tacit knowledge and is the strongest indicator of managerial competency. Analysis of the study results testing this hypothesis indicated that practical intelligence largely accounts for the level of competency used in managerial work (from 21% to 38%. The study findings suggest that practical intelligence is a better indicator of managerial competencies among line managers than traditionally measured IQ or emotional intelligence. Originality: This research fills an important gap in the literature on the subject, indicating the links between major contemporary selection indicators (i.e., analytical, practical and emotional intelligence and managerial competencies presented in realistic work simulations measured using the Assessment Centre process.

  7. Enterprise risk management

    Energy Technology Data Exchange (ETDEWEB)

    Eaton, C. [Enbridge, Calgary, AB (Canada)

    2015-07-01

    Enterprise risk management (ERM) is a relative new, holistic and strategic approach for managing risks in modern organizations. ERM builds on and extends traditional risk management (RM). Risk is the effect of uncertainty on objectives - positive and/or negative. Risk management is a set of practices used to understand and address risk. ERM is a form of RM that emphasizes risk aggregation and integration. Risk aggregation is combining individual risks into categories ({sup r}olled up{sup )}. risk integration is embedding RM into organizational contexts ({sup b}uilt in{sup )}.

  8. Project Risk Management

    Science.gov (United States)

    Jr., R. F. Miles

    1995-01-01

    Project risk management is primarily concerned with performance, reliability, cost, and schedule. Environmental risk management is primarily concerned with human health and ecological hazards and likelihoods. This paper discusses project risk management and compares it to environmental risk management, both with respect to goals and implementation. The approach of the Jet Propulsion Laboratory to risk management is presented as an example of a project risk management approach that is an extension to NASA NHB 7120.5: Management of Major System Programs and Projects.

  9. Risk management and safety

    International Nuclear Information System (INIS)

    Niehaus, F.; Novegno, A.

    1985-01-01

    Risk assessment, including probabilistic analyses, has made great progress over the past decade. In spite of the inherent uncertainties it has now become possible to utilize methods and results for decision making at various levels. This paper will, therefore, review risk management in industrial installations, risk management for energy safety policy and prospects of risk management in highly industrialized areas. (orig.) [de

  10. Effective Approach to Elevate the Intelligence of Management Decision System

    Institute of Scientific and Technical Information of China (English)

    杨保安; 朱明; 唐志杰; 陈思

    2003-01-01

    Based on the sticking point of the low intelligence of the existing management decision system,this paper puts forward the idea of enriching and refining the knowledge of the system and endowing it with the ability to learn by means of adopting three types of heterogeneous knowledge representation and knowledge management measures.At length,this paper outlines the basic framework of an intelligence system for the sake of management decision problem.

  11. A Note on Systems Intelligence in Knowledge Management

    Science.gov (United States)

    Sasaki, Yasuo

    2017-01-01

    Purpose: This paper aims to show that systems intelligence (SI) can be a useful perspective in knowledge management, particularly in the context of the socialization, externalization, combination and internalization (SECI) model. SI is a recently developed systemic concept, a certain kind of human intelligence based on a systems thinking…

  12. Risk management at university

    OpenAIRE

    Ivanova, H.; Abramovich, S.

    2013-01-01

    This article observes the basic recommendations for the risk management system in higher education as an example Yanka Kupala State University of Grodno. Consider the risk-management standard that based in a process approach

  13. Management of business risks

    OpenAIRE

    BAZARBAY A.

    2015-01-01

    The article presents methodological ideas concerning the problem of risk management. Special attention is paid to increasing of enterprises' operating efficiency by means of risk-management system development in business organizations.

  14. WATCHMAN: A Data Warehouse Intelligent Cache Manager

    Science.gov (United States)

    Scheuermann, Peter; Shim, Junho; Vingralek, Radek

    1996-01-01

    Data warehouses store large volumes of data which are used frequently by decision support applications. Such applications involve complex queries. Query performance in such an environment is critical because decision support applications often require interactive query response time. Because data warehouses are updated infrequently, it becomes possible to improve query performance by caching sets retrieved by queries in addition to query execution plans. In this paper we report on the design of an intelligent cache manager for sets retrieved by queries called WATCHMAN, which is particularly well suited for data warehousing environment. Our cache manager employs two novel, complementary algorithms for cache replacement and for cache admission. WATCHMAN aims at minimizing query response time and its cache replacement policy swaps out entire retrieved sets of queries instead of individual pages. The cache replacement and admission algorithms make use of a profit metric, which considers for each retrieved set its average rate of reference, its size, and execution cost of the associated query. We report on a performance evaluation based on the TPC-D and Set Query benchmarks. These experiments show that WATCHMAN achieves a substantial performance improvement in a decision support environment when compared to a traditional LRU replacement algorithm.

  15. Rethinking risk management

    International Nuclear Information System (INIS)

    Kloman, H.F.

    1992-01-01

    The purpose of this paper is to bring together the ideas of those who currently practice the many different forms of risk management on a global basis. These forms include guidance of public policy on macro risks, risk financing and insurance for many larger commercial organizations, managing credit, currency and interest rate risks for financial institutions, plus other extensions of risk management including security, quality control, and quality assurance in a health-care environment

  16. Influence of the Risk-Contributing Factors on the Financing of the Investment Project for Building of Intelligent Buildings

    Directory of Open Access Journals (Sweden)

    Voytolovskiy Nikolay

    2017-01-01

    Full Text Available This article provides the generic classification of risks of the investment projects for the construction of intelligent buildings which differ by the detachment of the subjective perception of risk by the investor. Risk and uncertainty were justified as system characteristics of the investment projects for the construction of intelligent buildings. Characteristics of the development was given in the context of project management. Methodical schemes of the development of the investment project risks were specified on the basis of interconnection of risk and project effectiveness. Risk management procedure at realization of the developer project was developed.

  17. Influence of the Risk-Contributing Factors on the Financing of the Investment Project for Building of Intelligent Buildings

    OpenAIRE

    Voytolovskiy Nikolay; Trebukhin Anatoliy; Shoshinov Vitaly

    2017-01-01

    This article provides the generic classification of risks of the investment projects for the construction of intelligent buildings which differ by the detachment of the subjective perception of risk by the investor. Risk and uncertainty were justified as system characteristics of the investment projects for the construction of intelligent buildings. Characteristics of the development was given in the context of project management. Methodical schemes of the development of the investment projec...

  18. Commodity risk management

    Directory of Open Access Journals (Sweden)

    Hilary Till

    2016-09-01

    Full Text Available This article discusses the practical issues involved in applying a disciplined risk management methodology to commodity futures trading. Accordingly, the paper shows how to apply methodologies derived from both conventional asset management and hedge fund management to futures trading. The article also discusses some of the risk management issues that are unique to leveraged futures trading.

  19. Intelligent, Autonomous Electrical Power System Management and Distribution, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — EPS-MAESTRO (EPS Management through intelligent, AdaptivE, autonomouS, faulT identification and diagnosis, Reconfiguration/replanning/rescheduling Optimization)...

  20. Business intelligence and performance management theory, systems and industrial applications

    CERN Document Server

    2013-01-01

    This book covers all the basic concepts of business intelligence and performance management including strategic support, business applications, methodologies and technologies from the field, and thoroughly explores the benefits, issues and challenges of each.

  1. Certification and risk management

    International Nuclear Information System (INIS)

    Villanueva Fernandez, M.

    2015-01-01

    Nowadays more organizations are increasingly aware of the importance of properly managing the uncertainty of its activities and build competitive advantages through the identification, assessment and management of risks that they face. Risk management is also an aspect of great importance within the new version of ISO fact it is one of the most innovative and also the most laborious, because an appropriate risk management achieves expected results and customer satisfaction. In conclusion, risk management is a new field of business and can be considered a cross-cutting component for other relevant factors of organizational change management. (Author)

  2. Strategic Management Model with Lens of Knowledge Management and Competitive Intelligence: A Review Approach

    OpenAIRE

    Shujahat, Muhammad; Hussain, Saddam; Javed, Sammar; Muhammad, Imran Malik; Thursamy, Ramayah; Ali, Junaid

    2017-01-01

    Purpose:\\ud First purpose of this study is to discuss the synergic and separate use of knowledge and\\ud intelligence, via knowledge management and competitive intelligence, in each stage of strategic\\ud management process. Second purpose is to discuss the implications of each stage of strategic\\ud management process for knowledge management and competitive intelligence and vice versa.\\ud Methodology/Design/Approach:\\ud A systematic literature review was performed within timeframe of 2000 to 2...

  3. [Global risk management].

    Science.gov (United States)

    Sghaier, W; Hergon, E; Desroches, A

    2015-08-01

    Risk management is a fundamental component of any successful company, whether it is in economic, societal or environmental aspect. Risk management is an especially important activity for companies that optimal security challenge of products and services is great. This is the case especially for the health sector institutions. Risk management is therefore a decision support tool and a means to ensure the sustainability of an organization. In this context, what methods and approaches implemented to manage the risks? Through this state of the art, we are interested in the concept of risk and risk management processes. Then we focus on the different methods of risk management and the criteria for choosing among these methods. Finally we highlight the need to supplement these methods by a systemic and global approach including through risk assessment by the audits. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  4. Towards a value model for collaborative, business intelligence-supported risk assessment

    NARCIS (Netherlands)

    Liu, L.; Daniëls, H.A.M.; Johannesson, P.

    2012-01-01

    Collaborative business intelligence supports risk assessment and in return enhances management control on a business network. Nonetheless, it needs an incentive basis in the first place before it can be implemented, that is, the value model. Starting from the managerial challenges which arise from

  5. A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification

    Directory of Open Access Journals (Sweden)

    Mehdi Khashei

    2015-09-01

    Full Text Available Risk management is one of the most important branches of business and finance. Classification models are the most popular and widely used analytical group of data mining approaches that can greatly help financial decision makers and managers to tackle credit risk problems. However, the literature clearly indicates that, despite proposing numerous classification models, credit scoring is often a difficult task. On the other hand, there is no universal credit-scoring model in the literature that can be accurately and explanatorily used in all circumstances. Therefore, the research for improving the efficiency of credit-scoring models has never stopped. In this paper, a hybrid soft intelligent classification model is proposed for credit-scoring problems. In the proposed model, the unique advantages of the soft computing techniques are used in order to modify the performance of the traditional artificial neural networks in credit scoring. Empirical results of Australian credit card data classifications indicate that the proposed hybrid model outperforms its components, and also other classification models presented for credit scoring. Therefore, the proposed model can be considered as an appropriate alternative tool for binary decision making in business and finance, especially in high uncertainty conditions.

  6. Agile risk management

    CERN Document Server

    Moran, Alan

    2014-01-01

    This work is the definitive guide for IT managers and agile practitioners. It elucidates the principles of agile risk management and how these relate to individual projects. Explained in clear and concise terms, this synthesis of project risk management and agile techniques is illustrated using the major methodologies such as XP, Scrum and DSDM.Although the agile community frequently cites risk management, research suggests that risk is often narrowly defined and, at best, implicitly treated, which in turn leads to an inability to make informed decisions concerning risk and reward and a poor u

  7. Risk management in Takaful

    OpenAIRE

    Akhter, Waheed

    2010-01-01

    Risk management is of vital importance in Islam and Takāful provides a way to manage risks in business according to Sharī’ah principles. This research paper attempts to identify various types of risks involved in Takāful business that affect operational and investment functions of Takāful operators across the globe. It lays down criteria for Takāful operator to manage those risks effectively. However, Takāful operators often face difficulty in managing market and credit risks as Sharī’ah comp...

  8. Financial Risk Management

    OpenAIRE

    Catalin-Florinel Stanescu; Laurentiu Mircea Simion

    2011-01-01

    Concerns about the financial risk is increasing. In this climate, companies of all types and sizes want a robust framework for financial risk management to meet compliance requirements, contribute to better decision making and increase performance. Financial risk management professionals working with financial institutions and other corporate clients to achieve these objectives.

  9. Retail Managers' Situational Leadership Style and Emotional Intelligence

    Science.gov (United States)

    Schlott, Jason L.

    2012-01-01

    Researchers of leadership in management have explored why some managers excel in their positions and others fail. Some researchers have suggested that managers who use emotional intelligence while leading have a better opportunity to promote organizational success. Ineffective leadership may contribute to employees' poor performance and lack…

  10. Intelligent web data management software architectures and emerging technologies

    CERN Document Server

    Ma, Kun; Yang, Bo; Sun, Runyuan

    2016-01-01

    This book presents some of the emerging techniques and technologies used to handle Web data management. Authors present novel software architectures and emerging technologies and then validate using experimental data and real world applications. The contents of this book are focused on four popular thematic categories of intelligent Web data management: cloud computing, social networking, monitoring and literature management. The Volume will be a valuable reference to researchers, students and practitioners in the field of Web data management, cloud computing, social networks using advanced intelligence tools.

  11. Value of risk management

    OpenAIRE

    Vik, Marie Amdal

    2012-01-01

    Master's thesis in Risk management The overall aim of this study was to discuss the validity of the hypothesis that risk management contributes with added value to projects and the enterprise holding the projects, and consequently to the enterprise’s stakeholders. To examine this hypothesis, a case study of three projects taken from the same portfolio at Statoil was selected. The projects were said to have an active risk management. Data was collected from the project’s documentation as...

  12. Supply Cain Risk Management

    OpenAIRE

    Goodwin, Les

    2011-01-01

    “The management of supply chain risk is crucial to any business, more so to Rolls Royce who face an almost doubling of load within the next 10 years. So what is supply chain risk management and how well is it deployed within an operational business of Rolls Royce? What are the tools and techniques available and what are the key issues around implementing world class supply chain risk management with a Supply Chain Unit within Rolls Royce?”

  13. Supply chain risk management

    OpenAIRE

    Christian Hollstein; Frank Himpel

    2013-01-01

    Background: Supply chain risk management increasingly gains prominence in many international industries. In order to strengthen supply chain structures, processes, and networks, adequate potentials for risk management need to be built (focus on effective logistics) and to be utilized (focus on efficient logistics). Natural-based disasters, such as the case of Fukushima, illustrate how crucial risk management is. Method: By aligning a theoretical-conceptual framework with empirical-induct...

  14. Exchange Risk Management Policy

    CERN Document Server

    2005-01-01

    At the Finance Committee of March 2005, following a comment by the CERN Audit Committee, the Chairman invited the Management to prepare a document on exchange risk management policy. The Finance Committee is invited to take note of this document.

  15. Identifying and Managing Risk.

    Science.gov (United States)

    Abraham, Janice M.

    1999-01-01

    The role of the college or university chief financial officer in institutional risk management is (1) to identify risk (physical, casualty, fiscal, business, reputational, workplace safety, legal liability, employment practices, general liability), (2) to develop a campus plan to reduce and control risk, (3) to transfer risk, and (4) to track and…

  16. An Intelligent Alternative Approach to the efficient Network Management

    Directory of Open Access Journals (Sweden)

    MARTÍN, A.

    2012-12-01

    Full Text Available Due to the increasing complexity and heterogeneity of networks and services, many efforts have been made to develop intelligent techniques for management. Network intelligent management is a key technology for operating large heterogeneous data transmission networks. This paper presents a proposal for an architecture that integrates management object specifications and the knowledge of expert systems. We present a new approach named Integrated Expert Management, for learning objects based on expert management rules and describe the design and implementation of an integrated intelligent management platform based on OSI and Internet management models. The main contributions of our approach is the integration of both expert system and managed models, so we can make use of them to construct more flexible intelligent management network. The prototype SONAP (Software for Network Assistant and Performance is accuracy-aware since it can control and manage a network. We have tested our system on real data to the fault diagnostic in a telecommunication system of a power utility. The results validate the model and show a significant improvement with respect to the number of rules and the error rate in others systems.

  17. Emotional intelligence and glycemic management among type I diabetes patients.

    Science.gov (United States)

    Zysberg, Leehu; Bar Yoseph, Tal; Goldman, Mor

    2017-02-01

    Type 1 diabetes is a lifelong physical and emotional challenge. The concept of emotional intelligence may offer better understanding of personal resources facilitating management of such challenges. We therefore hypothesized that emotional intelligence will negatively associate with two measures of diabetic management: HA1c and blood sugar levels. A total of 78 young adults with type 1 diabetes mellitus reported their last HA1c test result and their blood sugar level, as well as demographics and took the audio-visual test of emotional intelligence. The results showed a negative association between emotional intelligence and HA1c and marginal results in the same direction with blood sugar levels even when controlling for demographics.

  18. Risk management overview

    International Nuclear Information System (INIS)

    McGovern, S.

    1995-01-01

    Launching of the first natural gas contract by the New York Mercantile Exchange (NYMEX) in April 1990 was a huge success which allowed natural gas to surpass crude oil as the most successful launch of any commodity contract. Despite this unprecedented initial success it must be kept in mind that in a competitive marketplace there are risks of many kinds (market risks, price risks, basis risks, currency risks and timing risks), that parties must deal with in everyday operations. The concept of risk management was defined, techniques and issues in risk management were explained, a glossary of fully explained industry terms, and basic financial tools most often used in risk management, were provided. 11 figs

  19. Appearing smart: the impression management of intelligence, person perception accuracy, and behavior in social interaction.

    Science.gov (United States)

    Murphy, Nora A

    2007-03-01

    Intelligence is an important trait that affects everyday social interaction. The present research utilized the ecological perspective of social perception to investigate the impression management of intelligence and strangers' evaluations of targets' intelligence levels. The ability to effectively portray an impression of intelligence to outside judges as well as interaction partners was appraised and the effect of impression management on the accurate judgment of intelligence was assessed. In addition, targets' behavior was studied in relation to impression management, perceived intelligence, and actual measured intelligence. Impression-managing targets appeared more intelligent to video judges but not to their interaction partner as compared to controls. The intelligence quotient (IQ) of impression-managing targets was more accurately judged than controls' IQ. Impression-managing targets displayed distinct nonverbal behavioral patterns that differed from controls. Looking while speaking was a key behavior: It significantly correlated with IQ, was successfully manipulated by impression-managing targets, and contributed to higher perceived intelligence ratings.

  20. Intelligent Sensors for Integrated Systems Health Management (ISHM)

    Science.gov (United States)

    Schmalzel, John L.

    2008-01-01

    IEEE 1451 Smart Sensors contribute to a number of ISHM goals including cost reduction achieved through: a) Improved configuration management (TEDS); and b) Plug-and-play re-configuration. Intelligent Sensors are adaptation of Smart Sensors to include ISHM algorithms; this offers further benefits: a) Sensor validation. b) Confidence assessment of measurement, and c) Distributed ISHM processing. Space-qualified intelligent sensors are possible a) Size, mass, power constraints. b) Bus structure/protocol.

  1. Role of Emotional Intelligence in Conflict Management Strategies of Nurses.

    Science.gov (United States)

    Başoğul, Ceyda; Özgür, Gönül

    2016-09-01

    This study analyzes the emotional intelligence levels and conflict management strategies of nurses and the association between them. This cross-sectional, descriptive study was conducted with 277 nurses in a stratified random sample from a university hospital in Turkey. The data were collected from nurses who gave their informed consent to participate using a personal information form, the Rahim Organizational Conflict Inventory-II and Bar-On's Emotional Quotient Inventory (EQ-I). Data were assessed by descriptive statistics, t tests, and Pearson correlation analyses, using SPSS software. The levels of the nurses' strategies were as follows: avoiding (M = 2.98), dominating (M = 2.76), and obliging (M = 2.71) were medium; compromising (M = 1.99) and integration (M = 1.96) were low. The levels of the emotional intelligence of nurses (mean = 2.75) were medium on a 5-point scale. Integration (r = .168), obliging (r = .25), dominating (r = .18), and compromising (r = .33), which are conflict management strategies, were positively correlated with scores of emotional intelligence, and avoiding (r = -.25) was negatively correlated with scores of emotional intelligence (p emotional intelligence affects conflict management strategies. To use effective strategies in conflict management, nurses must develop emotional intelligence. Training programs on conflict management and emotional intelligence are needed to improve effective conflict management in healthcare facilities. Copyright © 2016. Published by Elsevier B.V.

  2. Perspectives: Intellectual Risk Management

    Science.gov (United States)

    Hall, James C.

    2013-01-01

    Ask a college administrator about students and risk management, and you're likely to get a quick and agitated speech about alcohol consumption and bad behavior or a meditation on mental health and campus safety. But in colleges and universities, we manage intellectual risk-taking too. Bring that up, and you'll probably get little out of that same…

  3. Risk Management and Simulation

    DEFF Research Database (Denmark)

    Skovmand, David

    2014-01-01

    Review of: Risk Management and Simulation / Aparna Gupta. Boca Raton, FL: CRC Press, 2013, xxix + 491 pp., $99.95(H), ISBN: 978-1-4398-3594-4.......Review of: Risk Management and Simulation / Aparna Gupta. Boca Raton, FL: CRC Press, 2013, xxix + 491 pp., $99.95(H), ISBN: 978-1-4398-3594-4....

  4. How to Teach Emotional Intelligence Skills in IT Project Management

    Science.gov (United States)

    Connolly, Amy J.; Reinicke, Bryan

    2017-01-01

    High emotional intelligence ("EQ") is considered one of the greatest strengths of an alpha project manager, yet undergraduate project management students are not directly trained in EQ soft skills such as communication, politics and teamwork. This article describes examples of active learning exercises implemented in an undergraduate IT…

  5. Agricultural risk management

    DEFF Research Database (Denmark)

    Lund, Mogens; Oksen, Arne; Larsen, Torben U.

    2005-01-01

    A new model for risk management in agriculture is described in the paper. The risk model is constructed as a context dependent process, which includes four main phases. The model is aimed at agricultural advisors, who wish to facilitate and disseminate risk management to farmers. It is developed...... and tested by an action research approach in an attempt to make risk management more applicable on family farms. Our obtained experiences indicate that farmers don’t apply probabilistic thinking and other concepts according to formal decision theory....

  6. Application of artificial intelligence to the management of urological cancer.

    Science.gov (United States)

    Abbod, Maysam F; Catto, James W F; Linkens, Derek A; Hamdy, Freddie C

    2007-10-01

    Artificial intelligence techniques, such as artificial neural networks, Bayesian belief networks and neuro-fuzzy modeling systems, are complex mathematical models based on the human neuronal structure and thinking. Such tools are capable of generating data driven models of biological systems without making assumptions based on statistical distributions. A large amount of study has been reported of the use of artificial intelligence in urology. We reviewed the basic concepts behind artificial intelligence techniques and explored the applications of this new dynamic technology in various aspects of urological cancer management. A detailed and systematic review of the literature was performed using the MEDLINE and Inspec databases to discover reports using artificial intelligence in urological cancer. The characteristics of machine learning and their implementation were described and reports of artificial intelligence use in urological cancer were reviewed. While most researchers in this field were found to focus on artificial neural networks to improve the diagnosis, staging and prognostic prediction of urological cancers, some groups are exploring other techniques, such as expert systems and neuro-fuzzy modeling systems. Compared to traditional regression statistics artificial intelligence methods appear to be accurate and more explorative for analyzing large data cohorts. Furthermore, they allow individualized prediction of disease behavior. Each artificial intelligence method has characteristics that make it suitable for different tasks. The lack of transparency of artificial neural networks hinders global scientific community acceptance of this method but this can be overcome by neuro-fuzzy modeling systems.

  7. The management object in risk management approaches

    OpenAIRE

    Christiansen, Ulrik

    2013-01-01

    Using a systematic review of the last 55 years of research within risk management this paper explores how risk management as a management technology (methodologies, tools and frameworks to mitigate or manage risks) singles out risks as an object for management in order to make action possible. The paper synthesise by developing a framework of how different views on risk management enable and constrain the knowledge about risk and thus frame the possibilities to measure, analyse an...

  8. Individual Property Risk Management

    Directory of Open Access Journals (Sweden)

    Michael S. Finke

    2010-01-01

    Full Text Available This paper reviews household property risk management and estimates normatively optimal choice under theoretical assumptions. Although risk retention limits are common in the financial planning industry, estimates of optimal risk retention that include both financial and human wealth far exceed limits commonly recommended. Households appear to frame property losses differently from other wealth losses leading to wealth-reducing, excess risk transfer. Possible theoretical explanations for excess sensitivity to loss are reviewed. Differences between observed and optimal risk management imply a large potential gain from improved choice.

  9. Emotional Intelligence and Transformational Leadership in Physical Education Managers

    Directory of Open Access Journals (Sweden)

    Nooshin Esfahani,

    2013-03-01

    Full Text Available The aim of the present research was to investigate the relationship between emotional intelligence and transformational leadership in managers of physical education of Golestan province. The managers and deputies of Golestan physical education departments participated in this research and 47 subjects were selected as the statistical sample of this study. Emotional Intelligence questionnaire that assessed five micro scales of self-awareness, self-management, self-motivation, empathy and social skills, Multifactor Leadership questionnaire (MLQ by Bass and Avolio (1996 that measured five micro scales related to transformational leadership, three micro scales of transactional leadership, and laissez-faire leadership were used to collect the data. In order to analyze the data, ANOVA test, multiple regression test, and Pearson correlation coefficient were applied. The results showed a significant relationship between emotional intelligence and transformational leadership method. Also, the results of multiple regression test indicated that among transformational leadership micro scales, personal considerations was the strongest predictive variable in transformational leadership method and among emotional intelligence micro scales, empathy had a great influence on emotional intelligence of physical education managers.

  10. The relationship between emotional intelligence and stress management

    Directory of Open Access Journals (Sweden)

    Saras Ramesar

    2009-05-01

    Full Text Available Regardless of where one lives in the world, one cannot escape three defi ning forces of our time: globalisation, the information revolution and the speed of change (Cascio, 2001. To ensure continued organisational performance and to maintain the competitive advantage, organisations must therefore constantly implement changes in strategy, structure, process and culture (Higgs, 2002; Langley, 2000. Goleman (1998 proposes a solution of self-awareness as a key skill in handling stress, thereby indicating that a lack of emotional intelligence in such an unstable environment means possible failure that can impact on everyone’s future. The general aim of this research was to determine whether there is a relationship between emotional intelligence and stress management in a group of managers. This was done through a quantitative study of the relationship between stress management and emotional intelligence. These constructs were operationalised by means of a combination of scales present in the Feelings and Emotions domain of the Occupational Personality Questionnaire (OPQ32i and the Emotional Quotient Inventory (Bar-On EQ-i. The correlation and regression results seem to indicate that stress management (the ability to cope with stress is a component of emotional intelligence, while stress can be either an input or an outflow of emotional intelligence or the lack thereof.

  11. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

    Science.gov (United States)

    Contreras, Ivan; Vehi, Josep

    2018-05-30

    Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to deal with chronic diseases. One of the most lethal and prevalent chronic diseases is diabetes mellitus, which is characterized by dysfunction of glucose homeostasis. The objective of this paper is to review recent efforts to use artificial intelligence techniques to assist in the management of diabetes, along with the associated challenges. A review of the literature was conducted using PubMed and related bibliographic resources. Analyses of the literature from 2010 to 2018 yielded 1849 pertinent articles, of which we selected 141 for detailed review. We propose a functional taxonomy for diabetes management and artificial intelligence. Additionally, a detailed analysis of each subject category was performed using related key outcomes. This approach revealed that the experiments and studies reviewed yielded encouraging results. We obtained evidence of an acceleration of research activity aimed at developing artificial intelligence-powered tools for prediction and prevention of complications associated with diabetes. Our results indicate that artificial intelligence methods are being progressively established as suitable for use in clinical daily practice, as well as for the self-management of diabetes. Consequently, these methods provide powerful tools for improving patients' quality of life. ©Ivan Contreras, Josep Vehi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.05.2018.

  12. Artificial intelligence - New tools for aerospace project managers

    Science.gov (United States)

    Moja, D. C.

    1985-01-01

    Artificial Intelligence (AI) is currently being used for business-oriented, money-making applications, such as medical diagnosis, computer system configuration, and geological exploration. The present paper has the objective to assess new AI tools and techniques which will be available to assist aerospace managers in the accomplishment of their tasks. A study conducted by Brown and Cheeseman (1983) indicates that AI will be employed in all traditional management areas, taking into account goal setting, decision making, policy formulation, evaluation, planning, budgeting, auditing, personnel management, training, legal affairs, and procurement. Artificial intelligence/expert systems are discussed, giving attention to the three primary areas concerned with intelligent robots, natural language interfaces, and expert systems. Aspects of information retrieval are also considered along with the decision support system, and expert systems for project planning and scheduling.

  13. Recent progress in competitive intelligence, competitive technical intelligence and knowledge management

    Directory of Open Access Journals (Sweden)

    Dou Henri

    2011-04-01

    Full Text Available This paper discusses the role of competitive intelligence and knowledge management to create, maintain and sustain competitive advantages. The triple helix model, based on the integration of the public sector (government, business models (private corporations and universities to promote innovation is examined. Research trends in competitive intelligence are presented. It concludes that the systematic use of the technology monitoring should support the comparison between various business models of companies that hold the market best practices and form a basis to knowledge for the decision making process and strategies development.

  14. Optimizing risk management

    International Nuclear Information System (INIS)

    Kindred, G.W.

    2000-01-01

    Commercial nuclear power plant management is focussed on the safe, efficient, economical production of electricity. To accomplish the safe aspect of the equation, risk must be determined for the operation and maintenance of the facility. To accomplish the efficient aspect of the equation, management must understand those risks and factor risk insights into their decision process. The final piece of the equation is economical which is accomplished by minimizing, plant outage durations and proper utilization of resources. Probabilistic Risk Assessment can provide the risk insights to accomplish all three; safety, efficiency, and economically. How? Safe production of electricity can be quantified by use of PRA modeling and other risk insights that can determine the core damage frequency. Efficient production of electricity can be influenced by providing management with quantified risk insights for use in decision making. And, one example of economical production of electricity is by not having over conservative deterministic based defense in depth approaches to system maintenance and availability. By using risk-informed insights nuclear safety can be quantified and risk can be managed. Confidence in this approach can be achieved by ensuring the content and quality of the PRA is standardized throughout the industry. The time has arrived for Probabilistic Risk Assessment to take an active position as a major role player in the safe, efficient, and economical operation of commercial nuclear power plants. (author)

  15. Internal Audit and Risk Management

    OpenAIRE

    Constantin Nicolae Vasile; Alexandru Georgiana

    2011-01-01

    Internal audit and risk management have the same goal: the control of risk. There are various roles for the internal audit in respect of risk management. The main limitations of internal audit in respect of risk management regards assuming risk management tasks. One of the main issues regarding risk management is to make sure that the key risks are taken into consideration and that the management and the board of the organization take action as needed. Internal audit could give advice to mana...

  16. Intelligent community management system based on the devicenet fieldbus

    Science.gov (United States)

    Wang, Yulan; Wang, Jianxiong; Liu, Jiwen

    2013-03-01

    With the rapid development of the national economy and the improvement of people's living standards, people are making higher demands on the living environment. And the estate management content, management efficiency and service quality have been higher required. This paper in-depth analyzes about the intelligent community of the structure and composition. According to the users' requirements and related specifications, it achieves the district management systems, which includes Basic Information Management: the management level of housing, household information management, administrator-level management, password management, etc. Service Management: standard property costs, property charges collecting, the history of arrears and other property expenses. Security Management: household gas, water, electricity and security and other security management, security management district and other public places. Systems Management: backup database, restore database, log management. This article also carries out on the Intelligent Community System analysis, proposes an architecture which is based on B / S technology system. And it has achieved a global network device management with friendly, easy to use, unified human - machine interface.

  17. Risk Management Plan Rule

    Science.gov (United States)

    RMP implements Section 112(r) of the 1990 Clean Air Act amendments, and requires facilities that use extremely hazardous substances to develop a Risk Management Plan and revise/resubmit every five years. Find guidance, factsheets, training, and assistance.

  18. Emotional Intelligence and At-Risk Students

    Directory of Open Access Journals (Sweden)

    Abdullah Maria Chong

    2015-02-01

    Full Text Available This study examined the relationships between emotional intelligence (EI and the delinquent behavior (DB of the students. The level of DB reported by the students is categorized under the headings of crime, drugs, vandalism, pornography and sexual behavior, other misbehavior, and dishonesty. Meanwhile, EI is investigated by looking at the level of EI domains, such as self-awareness, self-regulation, self-motivation, empathy, social skills, maturity, and spiritual awareness. Data were gathered from a sample of 300 secondary school students aged 15 to 18 years in Selangor. The schools they attended were selected from the so-called “hardcore schools,” which were identified by Schools Division in the State of Selangor. Two instruments, namely, surveys on the “Behavior of Students” and “Malaysian Emotional Quotient Inventory (R–Adolescence (MEQI,” were utilized to collect the research data and were analyzed using SPSS 19.0. The data showed that the highest delinquency among the adolescents was misbehavior in school, followed by crime, vandalism, pornography, dishonesty, and drugs. Results also revealed a negative linear relationship between EI (r = −.208, n = 300, p = .001 and DB, implying that adolescents with better EI had lower levels of delinquency. Multiple regression analysis revealed that EI is a significant predictor of DB and self-awareness is the main factor of DB. This study contributes to the knowledge of the importance of EI in understanding DB. EI can be used to identify and discriminate emotional skills among those adolescents who exhibit DB. Addressing the role of EI as a predictor would probably prove to be effective in reducing DB.

  19. Cultural Intelligence as a Key Construct for Global Talent Management

    NARCIS (Netherlands)

    Bücker, J.J.L.E.; Al Ariss, A.

    2014-01-01

    This chapter focuses on the competencies needed to undertake global talent management (GTM), according to the concept of cultural intelligence (CQ) and its four main dimensions. Using real-world examples and excerpts from interviews with relevant actors in this field, this chapter outlines the CQ

  20. Applying intelligent transport systems to manage noise impacts

    NARCIS (Netherlands)

    Wilmink, I.R.; Vonk, T.

    2015-01-01

    This contribution discusses how traffic management, and many other measures that can be categorised as Intelligent Transport Systems (ITS, i.e. all traffic and transport measures that use ICT) can help reduce noise levels by influencing mobility choices and driving behaviour. Several examples of

  1. Making Risk Management Strategic

    DEFF Research Database (Denmark)

    Sax, Johanna; Andersen, Torben Juul

    2018-01-01

    Enterprise risk management (ERM) is an established management practice and is increasing in prominence as more firms spend substantial resources implementing ERM frameworks, partially induced by regulatory requirements. Yet, there is a lack of knowledge as to whether such frameworks add value and...... outcomes. The study develops a new multidimensional measure of adherence to ERM practices where earlier studies typically have relied on dichotomous proxies. We discuss the implications of these findings for ERM practice and strategic management in general....

  2. Big data based fraud risk management at Alibaba

    OpenAIRE

    Chen, Jidong; Tao, Ye; Wang, Haoran; Chen, Tao

    2015-01-01

    With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions....

  3. The moderating role of personality traits on emotional intelligence and conflict management styles.

    Science.gov (United States)

    Ann, Bao-Yi; Yang, Chun-Chi

    2012-06-01

    In a sample of 442 part-time MBA and undergraduate students, the relationships between emotional intelligence and the integrating style and between emotional intelligence and the dominating style of conflict management were moderated by extraversion. In addition, agreeableness moderated the relationships between emotional intelligence and compromising style and between emotional intelligence and dominating style.

  4. Impact of emotional intelligence on risk behaviour with mediating effect of positive and negative affect

    OpenAIRE

    Khan, I. (Iqra)

    2017-01-01

    Abstract Emotional intelligence and risk taking behaviour are considered as significant factors through which people engage in organizations and in daily life. This dissertation formulates the linkage between emotional intelligence, positive affect, negative affect and risk taking behavior. The underlying principle of this study was to develop a sense of relationship between emotional intelligence, positive affect, negative...

  5. Governmental management of chemical risk

    International Nuclear Information System (INIS)

    Zimmerman, R.

    1990-01-01

    This book is organized under the following headings: risk management in the government context; legal and regulatory decrees and directives for managing chemical risk; incentive-based approaches for regulating risk; risk management in the federal system; and traditional approaches and new initiatives for managing chemical risk

  6. Risk management versus incentives

    International Nuclear Information System (INIS)

    Aven, E.; Lovas, K.; Osmundsen, P.

    2006-01-01

    Portfolio theory indicates that risk management should take place at the group level. Hedging at the project level or in the individual business areas may lead to suboptimal results. However, the efficiency of a profit centre depends on its management's being able to influence factors that are crucial to the unit's financial results. Price hedging could be one such factor. In the wider perspective, this constitutes part of the balancing between centralisation and decentralisation. This article covers important elements of risk management and incentive design. It goes on to discuss the balancing of overall risk management at the group level and incentive design in profit centres and corporate units. Throughout the article, the oil industry serves as a case. (author)

  7. Intelligent energy management control for independent microgrid

    Indian Academy of Sciences (India)

    Energy management control; multi-agent system; microgrid; energy forecast; hybrid power ... power to the local load most of the time in this energy management strategy. ... Electrical and Electronics Engineering Department, PSG College of ...

  8. Intelligent Decision Support System for Bank Loans Risk Classification

    Institute of Scientific and Technical Information of China (English)

    杨保安; 马云飞; 俞莲

    2001-01-01

    Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BLRC, the key financial and non-financial factors are analyzed. Meanwhile, ES and Model Base (MB) which contain ANN are designed . The general framework,interaction and integration of the system are given. In addition, how the system realizes BLRC is elucidated in detail.

  9. Reviewing the development of an artificial intelligence based risk program

    International Nuclear Information System (INIS)

    Dixon, B.W.; Hinton, M.F.

    1985-01-01

    A successful application of nonconventional programming methods has been achieved in computer-assisted probabilistic risk assessment (PRA). The event tree sequence importance calculator, SQUIMP, provides for prompted data entry, generic expansion, on-line pruning, boolean reductions, and importance factor selection. SQUIMP employs constructs typically found in artificial intelligence (AI) programs. The development history of SQUIMP is outlined and its internal structure described as background for a discussion on the applicability of symbolic programming methods in PRA

  10. Risk management guide

    International Nuclear Information System (INIS)

    Briscoe, G.J.

    1977-06-01

    Risk management requires an assessment or a knowledge of risk. This, in turn, requires identification of hazards (sources of risk) and a determination of risk (evaluation of the hazard degree). The hazard identification and risk analysis techniques presented in this Guide are, in general, based on the MORT concept that accidents result from unwanted energy flow in the absence of adequate controls and/or barriers. This Guide presents an analytical tree designed to prevent oversight of specific energy sources in risk identification. Hazard identification by field personnel is also discussed. Quantitative risk analysis is discussed in the following section. A method for summary of the risks for each energy classification is given. This method uses a graphical log-normal projection so that low probability events, which are not adequately represented in the experience data, are included in the risk assessment. This permits a more acceptable risk assessment since catastrophes are not ignored, even though the actual risk is only approximated. In addition, a few examples of risk analysis of specific hazards are given. Rudimentary probability and fault tree theory are used in these examples. Total risk assessment and resource allocation and safety performance trend analysis are discussed

  11. The Relationship of Emotional Intelligence of Managers and Organization

    OpenAIRE

    Asghar Moshabaki; Vahab Khalili Shojaei

    2009-01-01

    AbstractThe pupose implementation of the present study is investigating the Relationship between EmotionalIntelligence (EI) of Managers and Organization Climate with Organizational learning culture of which NIOC1 has been chosen as case study. In this article, 30 managers of NIOC and suborganizations have been chosenby clusterly method base that using interview and questionnaire for gatering information. In this articlesubjects are splited for two classify. Fistyly, deal with emotional intell...

  12. Managing Risk and Opportunity

    DEFF Research Database (Denmark)

    Andersen, Torben Juul; Garvey, Maxine; Roggi, Oliviero

    outcomes. This topic is timely and of interest both to the academic community as well as to practicing managers, executives, and directors. The volume focuses on contemporary risk leadership issues based on recent research insights but avoids excessive technical language and mathematical formulas. The book...... is framed around the challenges imposed on executives and directors in dealing with an increasingly complex and unpredictable world. This requires a new risk leadership focus that not only avoids the downside risks but also considers ways to exploit the upside potential offered by a dynamic environment....... The underlying logic is built on the principles of financial economics where benefits derive from reducing bankruptcy costs and increasing future cash inflows. This provides a stringent framework for analyzing the effect of different risk management actions and behaviors in effective risk-taking organizations...

  13. Air quality risk management.

    Science.gov (United States)

    Williams, Martin L

    2008-01-01

    Rather than attempt to provide a comprehensive account of air quality risk assessment, as might be found in a textbook or manual, this article discusses some issues that are of current importance in the United Kingdom and the rest of Europe, with special emphasis on risk assessment in the context of policy formulation, and emerging scientific knowledge. There are two pollutants of particular concern and that both pose challenges for risk assessment and policy, and they are particulate matter (PM) and ozone. The article describes some issues for health risk assessment and finally some forward-looking suggestions for future approaches to air quality management.

  14. Managing power risk

    International Nuclear Information System (INIS)

    Rudd, D.C.

    1999-01-01

    Issues regarding the management of financial risks in the electric power market were discussed. The nature of the risk was defined for electricity producers, local utilities, traders/dealers, and brokers, each of which are exposed to different types of risks with the exception of credit risk, which is common to all. The main features of options, swaps, CFDs, bilateral financial contracts, futures contracts and the terms of the NYMEX electricity contract were outlined. Basic derivative strategies, the role of the broker, the elements of emissions trading, and trading strategies for consumers were also explained. 3 fig

  15. Intelligent energy management. Less electricity, same cooling; Energie intelligent managen. Weniger Strom, gleiche Kaelte

    Energy Technology Data Exchange (ETDEWEB)

    Sprado, Joern; Lawo, Michael [Bremen Univ. (DE). Technologie-Zentrum Informatik und Informationstechnik (TZI)

    2009-09-15

    In cooperation with the company netDV Unternehmensberatung GmbH, the Technology Center for Computational Science (TZI) at the University of Bremen has developed a computer-aided ''assistance system for intelligent energy management'' that considerably reduces the energy consumption of feed refrigeration systems in our supermarkets. Reductions of between 10 and 20 per cent lead to savings in the order of five-digit euro amounts. (orig.)

  16. An Intelligent Knowledge Management System from a Semantic Perspective

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2008-01-01

    Full Text Available Knowledge Management Systems (KMS are important tools by whichorganizations can better use information and, more importantly, manageknowledge. Unlike other strategies, knowledge management (KM is difficult todefine because it encompasses a range of concepts, management tasks,technologies, and organizational practices, all of which come under the umbrella ofthe information management. Semantic approaches allow easier and more efficienttraining, maintenance, and support knowledge. Current ICT markets are dominatedby relational databases and document-centric information technologies, proceduralalgorithmic programming paradigms, and stack architecture. A key driver of globaleconomic expansion in the coming decade is the build-out of broadbandtelecommunications and the deployment of intelligent services bundling. This paperintroduces the main characteristics of an Intelligent Knowledge ManagementSystem as a multiagent system used in a Learning Control Problem (IKMSLCP,from a semantic perspective. We describe an intelligent KM framework, allowingthe observer (a human agent to learn from experience. This framework makes thesystem dynamic (flexible and adaptable so it evolves, guaranteeing high levels ofstability when performing his domain problem P. To capture by the agent who learnthe control knowledge for solving a task-allocation problem, the control expertsystem uses at any time, an internal fuzzy knowledge model of the (businessprocess based on the last knowledge model.

  17. Computational Intelligence in Highway Management: A Review

    Directory of Open Access Journals (Sweden)

    Ondrej Pribyl

    2015-10-01

    Full Text Available Highway management systems are used to improve safety and driving comfort on highways by using control strategies and providing information and warnings to drivers. They use several strategies starting from speed and lane management, through incident detection and warning systems, ramp metering, weather information up to, for example, informing drivers about alternative roads. This paper provides a review of the existing approaches to highway management systems, particularly speed harmonization and ramp metering. It is focused only on modern and advanced approaches, such as soft computing, multi-agent methods and their interconnection. Its objective is to provide guidance in the wide field of highway management and to point out the most relevant recent activities which demonstrate that development in the field of highway management is still important and that the existing research exhibits potential for further enhancement.

  18. Management of radiation risk

    International Nuclear Information System (INIS)

    Hubert, P.

    1996-01-01

    The need to control the risk from ionizing radiation can be tracked back to the eve of the twentieth century. However, as knowledge improved and practices expanded, the approaches to this control have evolved. No longer is the mere respect of some forms of exposure limits or safety related standards sufficient. Rather, it is widely admitted that there is a need for managing radiation risk, both by balancing the advantages and disadvantages of enhancing protection and by setting up a proper organization that allows handling of the risk. This paper describes the multiple aspects of radiation risk management and points out the main related issues. It critically analyzes ALARA and ICRP recommendations. 74 refs, 8 figs, 5 tabs

  19. Managing Chemical & Material Risks

    Science.gov (United States)

    2011-12-01

    Certification Program Acquisition, Technology and Logistics 9 DoD Hexavalent Chromium Risk Reduction Non- Chrome Primer II EXAVAJ ENT CHROM lrUMI...Royal Demolition eXplosive (RDX) • Cyclotrimethylenetrinitramine  Hexavalent Chromium (Cr6+) Naphthalene …pending downgrade to watch list Beryllium...T1me (secondo) 700 Acquisition, Technology and Logistics 10 Hexavalent Chromium Risk Management Actions • DoD minimization policy signed April

  20. An intelligent agent for optimal river-reservoir system management

    Science.gov (United States)

    Rieker, Jeffrey D.; Labadie, John W.

    2012-09-01

    A generalized software package is presented for developing an intelligent agent for stochastic optimization of complex river-reservoir system management and operations. Reinforcement learning is an approach to artificial intelligence for developing a decision-making agent that learns the best operational policies without the need for explicit probabilistic models of hydrologic system behavior. The agent learns these strategies experientially in a Markov decision process through observational interaction with the environment and simulation of the river-reservoir system using well-calibrated models. The graphical user interface for the reinforcement learning process controller includes numerous learning method options and dynamic displays for visualizing the adaptive behavior of the agent. As a case study, the generalized reinforcement learning software is applied to developing an intelligent agent for optimal management of water stored in the Truckee river-reservoir system of California and Nevada for the purpose of streamflow augmentation for water quality enhancement. The intelligent agent successfully learns long-term reservoir operational policies that specifically focus on mitigating water temperature extremes during persistent drought periods that jeopardize the survival of threatened and endangered fish species.

  1. Managing risk at Hanford

    International Nuclear Information System (INIS)

    Hesser, W.A.; Stillwell, W.G.; Rutherford, W.A.

    1994-01-01

    Clearly, there is sufficient motivation from Washington for the Hanford community to pay particular attention to the risks associated with the substantial volumes of radiological, hazardous, and mixed waste at Hanford. But there is also another reason for emphasizing risk: Hanford leaders have come to realize that their decisions must consider risk and risk reduction if those decisions are to be technically sound, financially affordable, and publicly acceptable. The 560-square miles of desert land is worth only a few thousand dollars an acre (if that) -- hardly enough to justify the almost two billion dollars that will be spent at Hanford this year. The benefit of cleaning up the Hanford Site is not the land but the reduction of potential risk to the public and the environment for future generations. If risk reduction is our ultimate goal, decisions about priority of effort and resource allocation must consider those risks, now and in the future. The purpose of this paper is to describe how Hanford is addressing the issues of risk assessment, risk management, and risk-based decision making and to share some of our experiences in these areas

  2. Artificial intelligence costs, benefits, and risks for selected spacecraft ground system automation scenarios

    Science.gov (United States)

    Truszkowski, Walter F.; Silverman, Barry G.; Kahn, Martha; Hexmoor, Henry

    1988-01-01

    In response to a number of high-level strategy studies in the early 1980s, expert systems and artificial intelligence (AI/ES) efforts for spacecraft ground systems have proliferated in the past several years primarily as individual small to medium scale applications. It is useful to stop and assess the impact of this technology in view of lessons learned to date, and hopefully, to determine if the overall strategies of some of the earlier studies both are being followed and still seem relevant. To achieve that end four idealized ground system automation scenarios and their attendant AI architecture are postulated and benefits, risks, and lessons learned are examined and compared. These architectures encompass: (1) no AI (baseline); (2) standalone expert systems; (3) standardized, reusable knowledge base management systems (KBMS); and (4) a futuristic unattended automation scenario. The resulting artificial intelligence lessons learned, benefits, and risks for spacecraft ground system automation scenarios are described.

  3. Artificial intelligence costs, benefits, risks for selected spacecraft ground system automation scenarios

    Science.gov (United States)

    Truszkowski, Walter F.; Silverman, Barry G.; Kahn, Martha; Hexmoor, Henry

    1988-01-01

    In response to a number of high-level strategy studies in the early 1980s, expert systems and artificial intelligence (AI/ES) efforts for spacecraft ground systems have proliferated in the past several years primarily as individual small to medium scale applications. It is useful to stop and assess the impact of this technology in view of lessons learned to date, and hopefully, to determine if the overall strategies of some of the earlier studies both are being followed and still seem relevant. To achieve that end four idealized ground system automation scenarios and their attendant AI architecture are postulated and benefits, risks, and lessons learned are examined and compared. These architectures encompass: (1) no AI (baseline), (2) standalone expert systems, (3) standardized, reusable knowledge base management systems (KBMS), and (4) a futuristic unattended automation scenario. The resulting artificial intelligence lessons learned, benefits, and risks for spacecraft ground system automation scenarios are described.

  4. Implementing a risk management program at Falconbridge

    International Nuclear Information System (INIS)

    Blechta, G.

    2003-01-01

    A corporate overview of Falconbridge was presented. Falconbridge, founded in 1928 is a leading producer of nickel, copper, cobalt and platinum group metals at low cost. A map displaying its worldwide locations was shown. In Canada, Falconbridge operates in Ontario and Nunavik Territory. The experience in Norway was briefly described, touching on market volatility, market intelligence, portfolio management, and risk management guidelines. The author then explained the purpose of the Energy Project Team, which was responsible for preparing for deregulation, developing strategies for purchasing energy, and minimizing the cost of purchased energy in a competitive market. The plan was described, and the emphasis placed on the core Ontario team. Communication played a large part. The management system functions were reviewed, and analysis provided. The financial integration model was presented. Risk management was dealt with, followed by market intelligence and operational hedge. Division impact was discussed. The major Falconbridge issues were: budget exposure to electricity price variability, how much fixed-price power supply and how long should the contracts be, regulatory structure, market purchase timing, and adhere to corporate risk management policy. The procurement process was described. The author concluded that the product must be kept simple and the number of products limited. A realistic schedule must by adhered to, and a short bidding period of four hours proved ideal. Supplier relationship must be consumer driven. The importance of communication plan was emphasized. Getting pre-approval to make the deal is important. tabs., figs

  5. Emotional intelligence and human relationship management as ...

    African Journals Online (AJOL)

    ... human relationship management as predictors of organizational commitment. ... The study seeks to explain the interactive and relative effects of emotional ... Simple random sampling technique was used in selecting 300 participants from ...

  6. Emotional Intelligence as a Predictor of Adolescent Risk Behavior Participation and Perception

    Science.gov (United States)

    Skaar, Nicole R.; Williams, John E.

    2012-01-01

    The current study aimed to investigate emotional intelligence as a predictor of adolescent risk participation and risk perception. While research has suggested that certain personality traits relate to adolescent risk behavior and perception, the extent to which emotional intelligence relates to risk behavior participation and perception is…

  7. Investigation of risk management auditing

    International Nuclear Information System (INIS)

    Cao Lu

    2012-01-01

    2004, COSO published 'Enterprise Risk Management Framework', 2009, SASAC issued the 'central enterprise-wide risk management guidelines' to promote risk management within the formal state-owned enterprises in medium and large. Nuclear Group, which risk management in all branches to carry out the project homeopathic, and A Ⅱ will carry out risk management program as the first unit has accumulated more experience. This article from the perspective of internal control, based on the company's risk management practices carried out to try for the nuclear power enterprise risk management audit to describe and propose new ideas. Which expounds the significance of risk management, audit, risk management audit of the ways and means, for practical application of risk management audit of a representative summary of the issues and the ways and means to solve the problem of forward-looking recommendations. (authors)

  8. Managing Risk and Opportunity

    DEFF Research Database (Denmark)

    Andersen, Torben Juul; Garvey, Maxine; Roggi, Oliviero

    outcomes. This topic is timely and of interest both to the academic community as well as to practicing managers, executives, and directors. The volume focuses on contemporary risk leadership issues based on recent research insights but avoids excessive technical language and mathematical formulas. The book...... is framed around the challenges imposed on executives and directors in dealing with an increasingly complex and unpredictable world. This requires a new risk leadership focus that not only avoids the downside risks but also considers ways to exploit the upside potential offered by a dynamic environment...

  9. Information gathering, management and transfering for geospacial intelligence

    Science.gov (United States)

    Nunes, Paulo; Correia, Anacleto; Teodoro, M. Filomena

    2017-07-01

    Information is a key subject in modern organization operations. The success of joint and combined operations with organizations partners depends on the accurate information and knowledge flow concerning the operations theatre: provision of resources, environment evolution, markets location, where and when an event occurred. As in the past and nowadays we cannot conceive modern operations without maps and geo-spatial information (GI). Information and knowledge management is fundamental to the success of organizational decisions in an uncertainty environment. The georeferenced information management is a process of knowledge management, it begins in the raw data and ends on generating knowledge. GI and intelligence systems allow us to integrate all other forms of intelligence and can be a main platform to process and display geo-spatial-time referenced events. Combining explicit knowledge with peoples know-how to generate a continuous learning cycle that supports real time decisions mitigates the influences of fog of everyday competition and provides the knowledge supremacy. Extending the preliminary analysis done in [1], this work applies the exploratory factor analysis to a questionnaire about the GI and intelligence management in an organization company allowing to identify future lines of action to improve information process sharing and exploration of all the potential of this important resource.

  10. Normalizing difference: Emotional intelligence and diversity management competence in healthcare managers

    Directory of Open Access Journals (Sweden)

    Adebukola E. Oyewunmi

    2018-05-01

    Full Text Available Purpose: Diversity is synonymous with difference. The diverse workforce presents an array of complexities which necessitates the deployment of specific managerial competencies. Empirical evidences have indicated the role of emotional intelligence in the enhancement of abilities. Thus, this study investigated the relationship between emotional intelligence and diversity management competency amongst healthcare managers in Southwest Nigeria.  Design: The descriptive survey method was adopted for the study. A total of 360 respondents completed the structured questionnaire titled Emotional Intelligence and Diversity Management Competency Questionnaire (EIDMCQ. Data was analyzed using descriptive and inferential statistics such as, Multiple Regression Analyses and Pearson Product Moment Correlation Statistical methods.  Findings: A positive correlation was found between emotional intelligence and diversity management competency. Gender, ethnicity, and age, did not moderate the relationship between emotional intelligence and diversity management competency.  Practical Implications: As difference is the reality of modern organizations, it is important to conceptualize it as normal and positive. Emotional intelligence is recommended as a critical tool to normalize the individual perceptions of difference. The re-assessment of the functions of managers must be followed by total commitment to capacity building in emotional intelligence, as well as the re-engineering of organizational and national cultures to promote equal opportunities, inclusion and diversity leveraging.  Originality/value: This study pioneers research on emotional intelligence and diversity management competency in Nigeria’s public healthcare sector. It conceptualizes diversity management on an individual- managerial level. Practical interventions are provided to enhance the application of specific competencies to optimize a diverse workplace.

  11. Risk management in customs control

    OpenAIRE

    Drobot, Elena; Klevleeva, Aziza

    2016-01-01

    The particularities of risk-management system implementation within customs control are discussed in the article. The authors single out the elements of risk-management system, evaluate effectiveness of risk-management in customs control. The main reasons for non-implementation of risk-management system in customs control are described, as well. Particular attention is paid to the benefits of customs risk management.

  12. Risk management in nuclear projects

    International Nuclear Information System (INIS)

    Salles, Claudio J.R.

    2002-01-01

    The risk management will be defined by different aspects: danger or loss possibility, or responsibility for damage. The risk management is one stage of project management. The risk management is a continuous process of planning, identification, quantification, answer and risk control to maximize the success potential of activity. The reduction of risk is part of priority establishment. This work will indicate how introduce this important instrument in the management of nuclear projects. (author)

  13. The Management Object in Risk Management Approaches

    DEFF Research Database (Denmark)

    Christiansen, Ulrik

    Using a systematic review of the last 55 years of research within risk management this paper explores how risk management as a management technology (methodologies, tools and frameworks to mitigate or manage risks) singles out risks as an object for management in order to make action possible....... The paper synthesise by developing a framework of how different views on risk management enable and constrain the knowledge about risk and thus frame the possibilities to measure, analyse and calculate uncertainty and risk. Inspired by social studies of finance and accounting, the paper finally develops...... three propositions that illustrate how the framing of risk establishes a boundary for how managers might understand value creation and the possible future and how this impacts the possible responses to risk....

  14. Artificial-intelligence-based optimization of the management of snow removal assets and resources.

    Science.gov (United States)

    2002-10-01

    Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent : snow removal asset management system (SRAMS). The system has been evaluated through a case study examining : snow removal from the ...

  15. A SCADA System for Energy Management in Intelligent Buildings

    OpenAIRE

    Figueiredo, Joao; Sá da Costa, Jose

    2012-01-01

    This paper develops an energy management platform for intelligent buildings using a SCADA system (Supervisory Control And Data Acquisition). This SCADA system integrates different types of information coming from the several technologies present in modern buildings (control of ventilation, temperature, illumination, etc.). The developed control strategy implements an hierarchical cascade controller where inner loops are performed by local PLCs (Programmable Logic Controller), and the outer...

  16. Continuous Risk Management: An Overview

    Science.gov (United States)

    Rosenberg, Linda; Hammer, Theodore F.

    1999-01-01

    Software risk management is important because it helps avoid disasters, rework, and overkill, but more importantly because it stimulates win-win situations. The objectives of software risk management are to identify, address, and eliminate software risk items before they become threats to success or major sources of rework. In general, good project managers are also good managers of risk. It makes good business sense for all software development projects to incorporate risk management as part of project management. The Software Assurance Technology Center (SATC) at NASA GSFC has been tasked with the responsibility for developing and teaching a systems level course for risk management that provides information on how to implement risk management. The course was developed in conjunction with the Software Engineering Institute at Carnegie Mellon University, then tailored to the NASA systems community. This is an introductory tutorial to continuous risk management based on this course. The rational for continuous risk management and how it is incorporated into project management are discussed. The risk management structure of six functions is discussed in sufficient depth for managers to understand what is involved in risk management and how it is implemented. These functions include: (1) Identify the risks in a specific format; (2) Analyze the risk probability, impact/severity, and timeframe; (3) Plan the approach; (4) Track the risk through data compilation and analysis; (5) Control and monitor the risk; (6) Communicate and document the process and decisions.

  17. Controls and Health Management Technologies for Intelligent Aerospace Propulsion Systems

    Science.gov (United States)

    Garg, Sanjay

    2004-01-01

    With the increased emphasis on aircraft safety, enhanced performance and affordability, and the need to reduce the environmental impact of aircraft, there are many new challenges being faced by the designers of aircraft propulsion systems. The Controls and Dynamics Technology Branch at NASA (National Aeronautics and Space Administration) Glenn Research Center (GRC) in Cleveland, Ohio, is leading and participating in various projects in partnership with other organizations within GRC and across NASA, the U.S. aerospace industry, and academia to develop advanced controls and health management technologies that will help meet these challenges through the concept of an Intelligent Engine. The key enabling technologies for an Intelligent Engine are the increased efficiencies of components through active control, advanced diagnostics and prognostics integrated with intelligent engine control to enhance component life, and distributed control with smart sensors and actuators in an adaptive fault tolerant architecture. This paper describes the current activities of the Controls and Dynamics Technology Branch in the areas of active component control and propulsion system intelligent control, and presents some recent analytical and experimental results in these areas.

  18. Comparative Study of Intelligent Systems for Management of GIT Cancers

    Directory of Open Access Journals (Sweden)

    Labib Nevine

    2017-01-01

    Full Text Available Intelligent Systems contribute in the management of different GIT cancer types. The paper discusses different types of intelligent systems, classified according to the medical task achieved, such as early detection, diagnosis and prognosis. It is found out that these types include rule-based and case-based expert systems, artificial neural networks, genetic algorithms, machine learning, in addition to data mining techniques and statistical methods. The study focuses on comparing between different techniques and tools used. The comparison results in identifying the benefits of using data mining techniques for the diagnosis task, since it is based on huge amounts of data in order to discover new patterns hence new predisposing factors. It also points out the use of expert systems in the prognosis task, since this task is mainly based on the specialist experience that should be transferred to less- experienced medical professionals. Based on the previous results, it is recommended to develop an Intelligent Tutoring System (ITS that focuses on the early diagnosis of GIT cancers, since managing the disease depends mainly on proper diagnosis, and also to build an expert system that helps transferring GIT cancers management knowledge to medical doctors in different hospitals.

  19. Artificial intelligence applications in accident management

    International Nuclear Information System (INIS)

    Cain, D.G.

    1989-01-01

    For nuclear power plant accident management, there are some addition concerns: linking AI systems to live data streams must be mastered; techniques for processing sensor inputs with varying data quality need to be provided; systems responsiveness to changing plant conditions and multiple user requests should, in general, be improved; there is a need for porting applications from specialized AI machines onto conventional computer hardware without incurring unacceptable performance penalties; human factors guidelines are required for new user interfaces in AI applications; methods for verification and validation of AI-based systems must be developed; and, finally, there is a need for proven methods to evaluate use effectiveness and firmly establish the benefits of AI-based accident management systems. (orig./GL)

  20. Business Intelligence Support For Project Management

    OpenAIRE

    Muntean, Mihaela; Cabau, Liviu Gabiel

    2013-01-01

    With respect to the project management framework, a project live cycle consists of phases like: initiation, planning, execution, monitoring & control and closing. Monitoring implies measuring the progress and performance of the project during its execution and communicating the status. Actual performance is compared with the planned one. Therefore, a minimal set of key performance indicators will be proposed. Monitoring the schedule progress, the project budget and the scope will be possible....

  1. ALGORITHMS FOR TRAFFIC MANAGEMENT IN THE INTELLIGENT TRANSPORT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Andrey Borisovich Nikolaev

    2017-09-01

    Full Text Available Traffic jams interfere with the drivers and cost billions of dollars per year and lead to a substantial increase in fuel consumption. In order to avoid such problems the paper describes the algorithms for traffic management in intelligent transportation system, which collects traffic information in real time and is able to detect and manage congestion on the basis of this information. The results show that the proposed algorithms reduce the average travel time, emissions and fuel consumption. In particular, travel time has decreased by about 23%, the average fuel consumption of 9%, and the average emission of 10%.

  2. Modeling intelligent adversaries for terrorism risk assessment: some necessary conditions for adversary models.

    Science.gov (United States)

    Guikema, Seth

    2012-07-01

    Intelligent adversary modeling has become increasingly important for risk analysis, and a number of different approaches have been proposed for incorporating intelligent adversaries in risk analysis models. However, these approaches are based on a range of often-implicit assumptions about the desirable properties of intelligent adversary models. This "Perspective" paper aims to further risk analysis for situations involving intelligent adversaries by fostering a discussion of the desirable properties for these models. A set of four basic necessary conditions for intelligent adversary models is proposed and discussed. These are: (1) behavioral accuracy to the degree possible, (2) computational tractability to support decision making, (3) explicit consideration of uncertainty, and (4) ability to gain confidence in the model. It is hoped that these suggested necessary conditions foster discussion about the goals and assumptions underlying intelligent adversary modeling in risk analysis. © 2011 Society for Risk Analysis.

  3. Information Risk Management and Resilience

    Science.gov (United States)

    Dynes, Scott

    Are the levels of information risk management efforts within and between firms correlated with the resilience of the firms to information disruptions? This paper examines the question by considering the results of field studies of information risk management practices at organizations and in supply chains. The organizations investigated differ greatly in the degree of coupling from a general and information risk management standpoint, as well as in the levels of internal awareness and activity regarding information risk management. The comparison of the levels of information risk management in the firms and their actual or inferred resilience indicates that a formal information risk management approach is not necessary for resilience in certain sectors.

  4. Nuclear risk management

    International Nuclear Information System (INIS)

    2001-01-01

    This paper gives the list of contributions to Eurosafe 2001 which was organised around two round tables on the first day and five seminars on the second day. The first round table dealt with the technical, organisational and societal aspects of risk management aimed at the prevention of accidents in nuclear power plants. The second round table focused on radiological risks from the normal operation of nuclear installations. Special consideration has been given to the involvement of stakeholders. The five seminars were held in order to provide opportunities for comparing experiences and learning about recent activities of IRSN, GRS and their partners in the European Union and Eastern Europe: - Safety assessment and analysis of nuclear installations; -Nuclear safety research; -Environment and radiation protection; - Waste management; - Nuclear material security. (author)

  5. Nuclear risk management

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-07-01

    This paper gives the list of contributions to Eurosafe 2001 which was organised around two round tables on the first day and five seminars on the second day. The first round table dealt with the technical, organisational and societal aspects of risk management aimed at the prevention of accidents in nuclear power plants. The second round table focused on radiological risks from the normal operation of nuclear installations. Special consideration has been given to the involvement of stakeholders. The five seminars were held in order to provide opportunities for comparing experiences and learning about recent activities of IRSN, GRS and their partners in the European Union and Eastern Europe: - Safety assessment and analysis of nuclear installations; -Nuclear safety research; -Environment and radiation protection; - Waste management; - Nuclear material security. (author)

  6. Credit risk management in banks

    OpenAIRE

    Pětníková, Tereza

    2014-01-01

    The subject of this diploma thesis is managing credit risk in banks, as the most significant risk faced by banks. The aim of this work is to define the basic techniques, tools and methods that are used by banks to manage credit risk. The first part of this work focuses on defining these procedures and describes the entire process of credit risk management, from the definition of credit risk, describing credit strategy and policy, organizational structure, defining the most used credit risk mi...

  7. Current Chemical Risk Management Activities

    Science.gov (United States)

    EPA's existing chemicals programs address pollution prevention, risk assessment, hazard and exposure assessment and/or characterization, and risk management for chemicals substances in commercial use.

  8. Tele-maintenance 'intelligent' system for technical plants result management

    International Nuclear Information System (INIS)

    Concetti, Massimo; Cuccioletta, Roberto; Fedele, Lorenzo; Mercuri, Giampiero

    2009-01-01

    The management of technical plant for productivity and safety is generally a complex activity, particularly when many plants distributed in the territory are considered (i.e. the more and more frequent case of outsourced plants maintenance by specialized companies), granted quality and cost results are required (i.e. the case of some rather innovative contract solutions) and the technology involved is heterogeneous and innovative (i.e. electro-mechanical plants). In order to efficiently achieve the above aims an 'intelligent' maintenance-management system for the distant monitoring and controlling by a remote control center has been developed. The so-called GrAMS (granted availability management system) system is conceived to give to organizations involved in technical-industrial plants management the possibility to tend to a 'well-known availability' and 'zero-failures' management. In particular, this study deals with the diagnostic aspects and safety level of technical plants (such as elevators, thermo-technical plants, etc.), and with the involvement of ad hoc designed software analysis tools based on neural networks and reliability indicators. Part of the research dealing with the tele-maintenance intelligent system has been financed by the Italian High Institute for Safety (ISPESL) and led to the development of a pre-industrial prototype whose realization and testing is here described

  9. IVHM Framework for Intelligent Integration for Vehicle Health Management

    Science.gov (United States)

    Paris, Deidre; Trevino, Luis C.; Watson, Michael D.

    2005-01-01

    Integrated Vehicle Health Management (IVHM) systems for aerospace vehicles, is the process of assessing, preserving, and restoring system functionality across flight and techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of Integrated Intelligent Vehicle Management (IIVM). These real-time responses allow the IIVM to modify the affected vehicle subsystem(s) prior to a catastrophic event. Furthermore, this framework integrates technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear that IIVM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission objectives. These systems include the following: Guidance and Navigation; Communications and Tracking; Vehicle Monitoring; Information Transport and Integration; Vehicle Diagnostics; Vehicle Prognostics; Vehicle Mission Planning, Automated Repair and Replacement; Vehicle Control; Human Computer Interface; and Onboard Verification and Validation. Furthermore, the presented

  10. Managing Complex Environmental Risks

    Energy Technology Data Exchange (ETDEWEB)

    Karlsson, Mikael [Karlstad Univ. (Sweden). Dept. of Environmental Sciences

    2006-09-15

    Environmental and public health risks are often handled in a process in which experts, and sometimes policy makers, try their best to quantitatively assess, evaluate and manage risks. This approach harmonises with mainstream interpretations of sustainable development, which aim at defining a desirable relationship between human and natural systems, for instance by policies that define limit values of different forms of disturbances. However, under conditions of high scientific incertitude, diverging values and distrust, this approach is far from satisfactory. The use of cell phones, hazardous chemicals, nuclear or fossil energy systems, and modern biotechnology are examples of activities causing such risks with high complexity. Against this background, a complementary interpretation of the concept of sustainable development is suggested. This interpretation is operationalised through new formulations of three common principles for public risk management; the precautionary principle, the polluter pays principle and the principle of public participation. Implementation of these reformulated principles would challenge some foundations of present mainstream views on environmental decision-making, but would on the other hand contribute to improved practices for long-term human welfare and planetary survival (full text of contribution)

  11. Managing Complex Environmental Risks

    International Nuclear Information System (INIS)

    Karlsson, Mikael

    2006-01-01

    Environmental and public health risks are often handled in a process in which experts, and sometimes policy makers, try their best to quantitatively assess, evaluate and manage risks. This approach harmonises with mainstream interpretations of sustainable development, which aim at defining a desirable relationship between human and natural systems, for instance by policies that define limit values of different forms of disturbances. However, under conditions of high scientific incertitude, diverging values and distrust, this approach is far from satisfactory. The use of cell phones, hazardous chemicals, nuclear or fossil energy systems, and modern biotechnology are examples of activities causing such risks with high complexity. Against this background, a complementary interpretation of the concept of sustainable development is suggested. This interpretation is operationalised through new formulations of three common principles for public risk management; the precautionary principle, the polluter pays principle and the principle of public participation. Implementation of these reformulated principles would challenge some foundations of present mainstream views on environmental decision-making, but would on the other hand contribute to improved practices for long-term human welfare and planetary survival (full text of contribution)

  12. Improving societal acceptance of rad waste management policy decisions: an approach based on complex intelligence

    International Nuclear Information System (INIS)

    Rao, Suman

    2008-01-01

    In today's context elaborate public participation exercises are conducted around the world to elicit and incorporate societal risk perceptions into nuclear policy Decision-Making. However, on many occasions, such as in the case of rad waste management, the society remains unconvinced about these decisions. This naturally leads to the questions: are techniques for incorporating societal risk perceptions into the rad waste policy decision making processes sufficiently mature? How could societal risk perceptions and legal normative principles be better integrated in order to render the decisions more equitable and convincing to society? Based on guidance from socio-psychological research this paper postulates that a critical factor for gaining/improving societal acceptance is the quality and adequacy of criteria for option evaluation that are used in the policy decision making. After surveying three rad waste public participation cases, the paper identifies key lacunae in criteria abstraction processes as currently practiced. A new policy decision support model CIRDA: Complex Intelligent Risk Discourse Abstraction model that is based on the heuristic of Risk-Risk Analysis is proposed to overcome these lacunae. CIRDA's functionality of rad waste policy decision making is modelled as a policy decision-making Abstract Intelligent Agent and the agent program/abstraction mappings are presented. CIRDA is then applied to a live (U.K.) rad waste management case and the advantages of this method as compared to the Value Tree Method as practiced in the GB case are demonstrated. (author)

  13. Intelligent Shuttle Management and Routing Algorithm

    Science.gov (United States)

    Thomas, Toshen M.; Subashanthini, S.

    2017-11-01

    Nowadays, most of the big Universities and campuses have Shuttle cabs running in them to cater the transportational needs of the students and faculties. While some shuttle services ask for a meagre sum to be paid for the usage, no digital payment system is onboard these vehicles to go truly cashless. Even more troublesome is the fact that sometimes during the day, some of these cabs run with bare number of passengers, which can result in unwanted budget loss to the shuttle operator. The main purpose of this paper is to create a system with two types of applications: A web portal and an Android app, to digitize the Shuttle cab industry. This system can be used for digital cashless payment feature, tracking passengers, tracking cabs and more importantly, manage the number of shuttle cabs in every route to maximize profit. This project is built upon an ASP.NET website connected to a cloud service along with an Android app that tracks and reads the passengers ID using an attached barcode reader along with the current GPS coordinates, and sends these data to the cloud for processing using the phone’s internet connectivity.

  14. Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

    Directory of Open Access Journals (Sweden)

    Dorel PARASCHIV

    2008-01-01

    Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

  15. Relation of Employee and Manager Emotional Intelligence to Job Satisfaction and Performance

    Science.gov (United States)

    Sy, Thomas; Tram, Susanna; O'Hara, Linda A.

    2006-01-01

    This study examined the relationships among employees' emotional intelligence, their manager's emotional intelligence, employees' job satisfaction, and performance for 187 food service employees from nine different locations of the same restaurant franchise. We predicted and found that employees' emotional intelligence was positively associated…

  16. CEA - 2014 risk management assessment

    International Nuclear Information System (INIS)

    Bonnevie, Edwige; Verwaerde, Daniel; Maillot, Bernard

    2015-06-01

    After introducing presentations of CEA managers in charge of risk management and controls, this document presents and comments the actions undertaken by the CEA and the obtained results in terms of risk management in different fields: protection and control of the environment, installation safety, health, safety and radiation protection, transport of hazardous materials, waste management, protection of sites, installations and heritage, management of emergency situations, management of legal risks, internal audits and controls. Other topics are addressed like the presentation of the risk management department, and the role of the CEA in the relationship between research and industry

  17. CEA: risk management assessment 2011

    International Nuclear Information System (INIS)

    Bigot, Bernard; Bonnevie, Edwige; Maillot, Bernard

    2012-01-01

    This report proposes a qualitative and quantitative overview of CEA activities in the field of risk management during 2011. These activities concerned the impact on the environment, the safety of installations, the management of professional risks (safety and health at work), the radiological protection of workers, the transports of hazardous materials, waste management, protection of sites, installations and heritage, the management of emergency situations, the management of law risks, controls and audits

  18. Risk Management in Cocurricular Activities.

    Science.gov (United States)

    Webb, Edward M.

    1988-01-01

    Discusses risk management for colleges' cocurricular activities. Discusses tort liability, contributory negligence, and assumption of risk. Provides six concrete steps for managing risks responsibly and professionally: adopting an educational mission statement, assigning risk to others, establishing safety standards, training club advisors,…

  19. Managing Corruption Risks

    DEFF Research Database (Denmark)

    Krause Hansen, Hans

    2011-01-01

    This article investigates the emerging engagement of private actors and specifically Western corporations in international anti-corruption, drawing on Foucauldian studies of governmentality. It explores this engagement as governing practices that have emanated quite independently from the inter......-state system commonly understood to be at the core of the anti-corruption regime. It demonstrates how corporate anti-corruption ties in with a relatively new way of perceiving corruption. In this framing, anti-corruption comes out as risk management, which is latched on to notions of corporate social...... responsibility and business ethics. Moreover, the constitution of corruption risk relates to the rise of new actors and networks engaged in a wider business of anti-corruption, including commercial and hybrid actors that supply corporations with managerial instruments, benchmarks for best practice, rankings...

  20. INTERNAL AUDIT AND RISK MANAGEMENT

    OpenAIRE

    Elena RUSE; Georgiana SUSMANSCHI (BADEA); Daniel DĂNECI-PĂTRĂU

    2014-01-01

    The existence of risk in economic activity can not be denied. In fact, the risk is a concept which exists in every activity, the term of risk being identified with uncertainty, respectively the (un)chance to produce an undesirable event. Internal audit and risk management aim at the same goal, namely the control of risks. Internal Audit performs several roles in risk management plan. The objectives of the internal audit function varies from company to company, but in all economic entities int...

  1. Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection

    National Research Council Canada - National Science Library

    Willis, Henry H; LaTourrette, Tom; Kelly, Terrence K; Hickey, Scot; Neill, Samuel

    2007-01-01

    ...? The Office of Intelligence and Analysis (OI&A) at DHS is responsible for using information and intelligence from multiple sources to identify and assess current and future threats to the United States...

  2. Managing Climate Change Risks

    Energy Technology Data Exchange (ETDEWEB)

    Jones, R. [CSIRO Atmospheric Research, PMB1 Aspendale, Victoria 3195 (Australia)

    2003-07-01

    Issues of uncertainty, scale and delay between action and response mean that 'dangerous' climate change is best managed within a risk assessment framework that evolves as new information is gathered. Risk can be broadly defined as the combination of likelihood and consequence; the latter measured as vulnerability to greenhouse-induced climate change. The most robust way to assess climate change damages in a probabilistic framework is as the likelihood of critical threshold exceedance. Because vulnerability is dominated by local factors, global vulnerability is the aggregation of many local impacts being forced beyond their coping ranges. Several case studies, generic sea level rise and temperature, coral bleaching on the Great Barrier Reef and water supply in an Australian catchment, are used to show how local risk assessments can be assessed then expressed as a function of global warming. Impacts treated thus can be aggregated to assess global risks consistent with Article 2 of the UNFCCC. A 'proof of concept' example is then used to show how the stabilisation of greenhouse gases can constrain the likelihood of exceeding critical thresholds at both the both local and global scale. This analysis suggests that even if the costs of reducing greenhouse gas emissions and the benefits of avoiding climate damages can be estimated, the likelihood of being able to meet a cost-benefit target is limited by both physical and socio-economic uncertainties. In terms of managing climate change risks, adaptation will be most effective at reducing vulnerability likely to occur at low levels of warming. Successive efforts to mitigate greenhouse gases will reduce the likelihood of reaching levels of global warming from the top down, with the highest potential temperatures being avoided first, irrespective of contributing scientific uncertainties. This implies that the first cuts in emissions will always produce the largest economic benefits in terms of avoided

  3. Intelligent information system for waste management; Jaetehuollon aelykaes tietojaerjestelmae

    Energy Technology Data Exchange (ETDEWEB)

    Nuortio, T. [Kuopio Univ. (Finland)

    2005-07-01

    'iWaste - Intelligent Information System for Waste Management' - was a joint project of the University of Kuopio and the Tampere University of Technology. The main objective of the project was to improve the management and use of waste management data. Also the project focused on the development of information management systems. The results of the project are numerous. A study of the present state of information management in the field of waste management was carried out. The studied aspects were for example information needs of different actors and their requirements for the information quality, communication requirements among different actors, and the characteristics and applications of the software products. The conceptual data model of waste management was developed and resulted as the hyper document for connecting waste and information management specialists, and for research and educational purposes. Also, this model can be used for the development of political regulation. Methodologies and models for processing data into information for decision making were developed. The methodologies and models include e.g. data mining techniques, prediction of waste generation and optimisation of waste pick-up and transport. (orig.)

  4. Communicating Risk to Program Managers

    Science.gov (United States)

    Shivers, C. Herbert

    2005-01-01

    Program Managers (PM) can protect program resources and improve chances of success by anticipating, understanding and managing risks. Understanding the range of potential risks helps one to avoid or manage the risks. A PM must choose which risks to accept to reduce fire fighting, must meet the expectations of stakeholders consistently, and avoid falling into costly "black holes" that may open. A good risk management process provides the PM more confidence to seize opportunities save money, meet schedule, even improve relationships with people important to the program. Evidence of managing risk and sound internal controls can mean better support from superiors for the program by building a trust and reputation from being on top of issues. Risk managers have an obligation to provide the PM with the best information possible to allow the benefits to be realized (Small Business Consortium, 2004). The Institute for Chartered Accountants in England and Wales sees very important benefits for companies in providing better information about what they do to assess and manage key business risks. Such information will: a) provide practical forward-looking information; b) reduce the cost of capital; c) encourage better risk management; and d) improve accountability for stewardship, investor protection and the usefulness of financial reporting. We are particularly convinced that enhanced risk reporting will help listed companies obtain capital at the lowest possible cost (The Institute of Chartered Accountants in England &Wales, June 2002). Risk managers can take a significant role in quantifying the success of their department and communicating those figures to executive (program) management levels while pushing for a broader risk management role. Overall, risk managers must show that risk management work matters in the most crucial place-the bottom line- as they prove risk management can be a profit center (Sullivan, 2004).

  5. Intelligence

    Science.gov (United States)

    Sternberg, Robert J.

    2012-01-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301

  6. Intelligence.

    Science.gov (United States)

    Sternberg, Robert J

    2012-03-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.

  7. Intelligent Integrated Health Management for a System of Systems

    Science.gov (United States)

    Smith, Harvey; Schmalzel, John; Figueroa, Fernando

    2008-01-01

    An intelligent integrated health management system (IIHMS) incorporates major improvements over prior such systems. The particular IIHMS is implemented for any system defined as a hierarchical distributed network of intelligent elements (HDNIE), comprising primarily: (1) an architecture (Figure 1), (2) intelligent elements, (3) a conceptual framework and taxonomy (Figure 2), and (4) and ontology that defines standards and protocols. Some definitions of terms are prerequisite to a further brief description of this innovation: A system-of-systems (SoS) is an engineering system that comprises multiple subsystems (e.g., a system of multiple possibly interacting flow subsystems that include pumps, valves, tanks, ducts, sensors, and the like); 'Intelligent' is used here in the sense of artificial intelligence. An intelligent element may be physical or virtual, it is network enabled, and it is able to manage data, information, and knowledge (DIaK) focused on determining its condition in the context of the entire SoS; As used here, 'health' signifies the functionality and/or structural integrity of an engineering system, subsystem, or process (leading to determination of the health of components); 'Process' can signify either a physical process in the usual sense of the word or an element into which functionally related sensors are grouped; 'Element' can signify a component (e.g., an actuator, a valve), a process, a controller, an actuator, a subsystem, or a system; The term Integrated System Health Management (ISHM) is used to describe a capability that focuses on determining the condition (health) of every element in a complex system (detect anomalies, diagnose causes, prognosis of future anomalies), and provide data, information, and knowledge (DIaK) not just data to control systems for safe and effective operation. A major novel aspect of the present development is the concept of intelligent integration. The purpose of intelligent integration, as defined and

  8. Managing information technology security risk

    Science.gov (United States)

    Gilliam, David

    2003-01-01

    Information Technology (IT) Security Risk Management is a critical task for the organization to protect against the loss of confidentiality, integrity and availability of IT resources. As systems bgecome more complex and diverse and and attacks from intrusions and malicious content increase, it is becoming increasingly difficult to manage IT security risk. This paper describes a two-pronged approach in addressing IT security risk and risk management in the organization: 1) an institutional enterprise appraoch, and 2) a project life cycle approach.

  9. Credit derivatives and risk management

    OpenAIRE

    Michael S. Gibson

    2007-01-01

    The striking growth of credit derivatives suggests that market participants find them to be useful tools for risk management. I illustrate the value of credit derivatives with three examples. A commercial bank can use credit derivatives to manage the risk of its loan portfolio. An investment bank can use credit derivatives to manage the risks it incurs when underwriting securities. An investor, such as an insurance company, asset manager, or hedge fund, can use credit derivatives to align its...

  10. Artificial intelligence applied to fuel management in BWR type reactors

    International Nuclear Information System (INIS)

    Ortiz S, J.J.

    1998-01-01

    In this work two techniques of artificial intelligence, neural networks and genetic algorithms were applied to a practical problem of nuclear fuel management; the determination of the optimal fuel reload for a BWR type reactor. This is an important problem in the design of the operation cycle of the reactor. As a result of the application of these techniques, comparable or even better reloads proposals than those given by expert companies in the subject were obtained. Additionally, two other simpler problems in reactor physics were solved: the determination of the axial power profile and the prediction of the value of some variables of interest at the end of the operation cycle of the reactor. Neural networks and genetic algorithms have been applied to solve many problems of engineering because of their versatility but they have been rarely used in the area of fuel management. The results obtained in this thesis indicates the convenience of undertaking further work on this area and suggest the application of these techniques of artificial intelligence to the solution of other problems in nuclear reactor physics. (Author)

  11. Is ALARP applicable to the management of terrorist risks?

    International Nuclear Information System (INIS)

    Guikema, S.D.; Aven, T.

    2010-01-01

    In this paper, we discuss the applicability of the as low as reasonable practicable (ALARP) principle to terrorist risk management. ALARP is a commonly used framework for managing risk due to non-intelligent threats, but terrorism introduces difficult issues, both technically and socially. In particular, the probability of a terrorist attack is difficult to define, terrorist threats are adaptive, and some terrorist risk management actions raise issues of loss of civil liberties not raised by risk management measures for other types of risk. We discuss these issues and their implications for risk management. After showing how ALARP is used to manage the risk from other hazards in different economic sectors, we discuss both the benefits and difficulties associated with extending the ALARP framework for terrorist risk analysis. We conclude that the ALARP framework can be modified to make it appropriate for risk management for adaptive risks, provided that care is taken to explicitly consider adaptive reallocation of risk in response to risk management actions, to account for perceived or actual loss of civil liberties resulting from risk management actions, and to consider the difficulties associated with using probability to measure uncertainty in adversary actions.

  12. The Key to Risk Management: Management

    OpenAIRE

    Adrian E. Tschoegl

    2000-01-01

    The Barings, Daiwa Bank and Sumitomo Corp. financial debacles in the mid-1990s suggest that management failures rather than misfortune, errors, or complexity are a major source of the risk of financial debacles. These errors are systematic and are a concommittant of the structure of trading and of human nature. Risk management systems must take these facts into account.

  13. Risk Management in Insurance Companies

    OpenAIRE

    Yang, Xufeng

    2006-01-01

    Insurance is the uncertain business in uncertain society. Today, insures face more complex and difficult risks. Efficient risk management mechanisms are essential for the insurers. The paper is set out initially to explore UK insurance companies risk management and risk disclosure by examining companies annual report after all the listed insurance companies are required to disclose risk information in their annual report, which seeks to reflect the recent development in UK insurance companies...

  14. Information systems for risk management

    OpenAIRE

    Michael S. Gibson

    1997-01-01

    Risk management information systems are designed to overcome the problem of aggregating data across diverse trading units. The design of an information system depends on the risk measurement methodology that a firm chooses. Inherent in the design of both a risk management information system and a risk measurement methodology is a tradeoff between the accuracy of the resulting measures of risk and the burden of computing them. Technical progress will make this tradeoff more favorable over time...

  15. Framework for systematic risk management

    International Nuclear Information System (INIS)

    Knief, R.A.; Mahn, J.A.; Briant, V.S.; Lee, R.B.; Long, R.L.

    1991-01-01

    The first paper of the Symposium described GPU Nuclear's Risk Management Group (RMG) and the use of literature search and interviews in a extensive study of risk management. One of the most important goals of the study was to identify comprehensive approaches to managing risk in the nuclear and major high-technology industries. This paper discusses RMG's multi-step generic risk-management process consisting of the following steps to: identify hazards; screen hazards and identify preventive actions, including costs; evaluate hazards for severity, probable frequency, and cost of preventive actions; prioritize preventive actions (preference to high risk and low cost); implement preventive actions; monitor and provide feedback

  16. Trends in risk management in nuclear industry

    International Nuclear Information System (INIS)

    Kim, Inn Seock

    1996-01-01

    Safety management may be classified into three dimensions: risk management, accident management, and emergency management. This paper addresses the recent trends of safety management in nuclear industry, focussing on risk management and accident management

  17. Application of Artificial Intelligence for Optimization in Pavement Management

    Directory of Open Access Journals (Sweden)

    Reus Salini

    2015-07-01

    Full Text Available Artificial intelligence (AI is a group of techniques that have quite a potential to be applied to pavement engineering and management. In this study, we developed a practical, flexible and out of the box approach to apply genetic algorithms to optimizing the budget allocation and the road maintenance strategy selection for a road network. The aim is to provide an alternative to existing software and better fit the requirements of an important number of pavement managers. To meet the objectives, a new indicator, named Road Global Value Index (RGVI, was created to contemplate the pavement condition, the traffic and the economic and political importance for each and every road section. This paper describes the approach and its components by an example confirming that genetic algorithms are very effective for the intended purpose.

  18. Risk assessment and risk management in managed aquifer recharge

    CSIR Research Space (South Africa)

    Page, D

    2012-06-01

    Full Text Available This chapter presents the methodologies used for risk assessment and risk management in MAR in Australia and the European Union, qualitative and quantitative approaches adopted within the RECLAIM Water project and case studies where the outcomes...

  19. Understanding and managing risk attitude

    National Research Council Canada - National Science Library

    Hillson, David; Murray-Webster, Ruth

    2007-01-01

    ... This book highlights how risk attitude factors influence the human psyche, and carefully explains the impacts. Organisations seeking to dramatically improve the effectiveness of their risk management process will want to use this book's insights. Craig Peterson, President, PMI Risk Management SIG This book has prompted me to think more deeply as a change d...

  20. An intelligent content discovery technique for health portal content management.

    Science.gov (United States)

    De Silva, Daswin; Burstein, Frada

    2014-04-23

    Continuous content management of health information portals is a feature vital for its sustainability and widespread acceptance. Knowledge and experience of a domain expert is essential for content management in the health domain. The rate of generation of online health resources is exponential and thereby manual examination for relevance to a specific topic and audience is a formidable challenge for domain experts. Intelligent content discovery for effective content management is a less researched topic. An existing expert-endorsed content repository can provide the necessary leverage to automatically identify relevant resources and evaluate qualitative metrics. This paper reports on the design research towards an intelligent technique for automated content discovery and ranking for health information portals. The proposed technique aims to improve efficiency of the current mostly manual process of portal content management by utilising an existing expert-endorsed content repository as a supporting base and a benchmark to evaluate the suitability of new content A model for content management was established based on a field study of potential users. The proposed technique is integral to this content management model and executes in several phases (ie, query construction, content search, text analytics and fuzzy multi-criteria ranking). The construction of multi-dimensional search queries with input from Wordnet, the use of multi-word and single-word terms as representative semantics for text analytics and the use of fuzzy multi-criteria ranking for subjective evaluation of quality metrics are original contributions reported in this paper. The feasibility of the proposed technique was examined with experiments conducted on an actual health information portal, the BCKOnline portal. Both intermediary and final results generated by the technique are presented in the paper and these help to establish benefits of the technique and its contribution towards effective

  1. Methods of Financial Risk Management

    Directory of Open Access Journals (Sweden)

    Korzh Natalia

    2016-10-01

    Full Text Available The essence and nature of financial risks are investigated. Their classification is conducted. The features of financial risk management and the main methods of management are considered. The ways of risk compensation are identified. It is proved that the objective external risk basis is such market imperfections as externalities of enterprises and incomplete information about the operation of the business environment and internal objective basis risk – the objective function to maximise profits in a competitive environment. It is revealed that to compensate market imperfections business entities should develop a strategy that combines fill in missing information and neutralise or minimise externalities that tactically implemented in financial risk management programs.

  2. The role of cultural intelligence of managers in promoting employees’ collaboration

    Directory of Open Access Journals (Sweden)

    Seyed Ali Akbar Ahmadi

    2013-07-01

    Full Text Available Collaboration can be a very challenging process precisely because it is a highly intense way of working, requiring new ways of thinking, behavior and ways of operating. Cultural Intelligence (CI is an antecedent for collaboration . The primary goal of this survey is to investigate the relationship between cultural intelligence of managers and their employees’ collaboration. This research is a descriptive-correlation study where 119 managers and 175 employees are selected by stratified random sampling from the Social Security organization managers and their workers. To measure cultural intelligence, the Iranian version of the cultural intelligence questionnaire is implemented and collaboration is measured using a questionnaire developed by the researcher. The Cronbach's alpha reliability coefficient respectively for cultural intelligence and collaboration questionnaires are 0.933 and 0.813, respectively, which are well above the minimum acceptable limit. Data collected using SPSS 19 and they are analyzed using LISREL 8.54 software packages. The results indicate a significant and positive relationship between cultural intelligence among managers and their employees’ collaboration. As the relationship between motivational and behavioral CI dimensions and collaboration is also determined to be positive and significant. Based on demographic factors such as gender, age and education we cannot comment on the cultural intelligence of managers and employee’s collaboration but having inter-cultural experiences has had a positive impact on the cultural intelligence of managers. Based on the findings obtained we can say that Cultural Intelligence is a key factor, influencing and determining for collaboration.

  3. IMPLEMENTING A RISK MANAGEMENT STANDARD

    Directory of Open Access Journals (Sweden)

    Constantin PREDA

    2013-01-01

    Full Text Available After risk management “conquered” more and more project managers’ minds and showed its benefits for business and programs, the need to have a global risk management standard has become a crucial issue in the world of risk management. But having a global risk management standard has been a big challenge, starting from the decision of developing the standard (March-June 2005, to the moment of publishing it, November 2009. So, developing the ISO 31000:2009 standard has been more or less like a bumpy ride. Apparently, the people involved in developing the global risk management standard understood from the very beginning that no challenges are too big, nor any tasks too small and that the task of having a new, comprehensive global risk management standard should be completed with excellence: defining the principles and the framework guiding the risk management process applicable for all type of organizations and for a wide range of activities. Coming up with a global standard should always be based on the real organizations’ needs and should fulfill real risk management requirements. The article is trying to present the pros and cons of risk management standard implementation, challenging the implementation process itself and the added value of implementing the standard due to the lack of implementation enablers, like risk culture, a real problem especially in an international environment.

  4. Analysis on the Chinese Urban Sustainable Development Demands for the Management Plan of Intelligent Transportation Systems

    Institute of Scientific and Technical Information of China (English)

    赵历男

    2002-01-01

    This article analyzes the demands of the sustainable development and Chinese urban environmental protection for the management plan of intelligent transportation systems. The article also comments on how to work out the management plan of intelligent transportation systems with China's own characteristics.

  5. How Do Motivational Regulation Strategies Affect Achievement: Mediated by Effort Management and Moderated by Intelligence

    Science.gov (United States)

    Schwinger, Malte; Steinmayr, Ricarda; Spinath, Birgit

    2009-01-01

    It was assumed that the effect of motivational regulation strategies on achievement is mediated by effort management and moderated by intelligence. A sample of 231 11th and 12th grade German high-school students provided self-reports on their use of motivational regulation strategies and effort management and completed an intelligence test.…

  6. RISK MANAGEMENT: AN INTEGRATED APPROACH TO RISK MANAGEMENT AND ASSESSMENT

    Directory of Open Access Journals (Sweden)

    Szabo Alina

    2012-12-01

    Full Text Available Purpose: The objective of this paper is to offer an overview over risk management cycle by focusing on prioritization and treatment, in order to ensure an integrated approach to risk management and assessment, and establish the ‘top 8-12’ risks report within the organization. The interface with Internal Audit is ensured by the implementation of the scoring method to prioritize risks collected from previous generated risk report. Methodology/approach: Using evidence from other research in the area and the professional expertise, this article outlines an integrated approach to risk assessment and risk management reporting processes, by separating the risk in two main categories: strategic and operational risks. The focus is on risk prioritization and scoring; the final output will comprise a mix of strategic and operational (‘top 8-12’ risks, which should be used to establish the annual Internal Audit plan. Originality/value: By using an integrated approach to risk assessment and risk management will eliminate the need for a separate Internal Audit risk assessment over prevailing risks. It will reduce the level of risk assessment overlap by different functions (Tax, Treasury, Information System over the same risk categories as a single methodology, is used and will align timings of risk assessment exercises. The risk prioritization by usage of risk and control scoring criteria highlights the combination between financial and non-financial impact criteria allowing risks that do not naturally lend themselves to a financial amount to be also assessed consistently. It is emphasized the usage of score method to prioritize the risks included in the annual audit plan in order to increase accuracy and timelines.

  7. Innovations in Quantitative Risk Management

    CERN Document Server

    Scherer, Matthias; Zagst, Rudi

    2015-01-01

    Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling...

  8. Emotional intelligence (EI) and nursing leadership styles among nurse managers.

    Science.gov (United States)

    Tyczkowski, Brenda; Vandenhouten, Christine; Reilly, Janet; Bansal, Gaurav; Kubsch, Sylvia M; Jakkola, Raelynn

    2015-01-01

    Less than 12.5% of nurses aspire to leadership roles, noting lack of support and stress as major factors in their decision not to pursue this area of practice. Psychological resiliency, described as the ability to properly adapt to stress and adversity, is key to successful nurse managers. Emotional intelligence (EI) is a related concept to resiliency and is another noteworthy predictor of leadership and management success. This study was undertaken to determine the level of and relationship between EI and leadership style of nurse managers employed in Wisconsin and Illinois facilities. A descriptive, exploratory study design was utilized, with a convenience sample of nurse managers working in 6 large Midwestern health systems. Nurse managers were invited to participate in the study by their employer, completing the online consent form and the demographic, Multifactor Leadership Questionnaire (MLQ) Form 5X and the Emotional Quotient Inventory (EQ-i 2.0) surveys. Statistically significant positive relationships were noted between EI and transformational leadership and the outcomes of leadership (extra effort, effectiveness, and satisfaction). No statistically significant relationships were noted between EI and transactional or laissez-faire leadership styles.

  9. Intelligent Resource Management for Local Area Networks: Approach and Evolution

    Science.gov (United States)

    Meike, Roger

    1988-01-01

    The Data Management System network is a complex and important part of manned space platforms. Its efficient operation is vital to crew, subsystems and experiments. AI is being considered to aid in the initial design of the network and to augment the management of its operation. The Intelligent Resource Management for Local Area Networks (IRMA-LAN) project is concerned with the application of AI techniques to network configuration and management. A network simulation was constructed employing real time process scheduling for realistic loads, and utilizing the IEEE 802.4 token passing scheme. This simulation is an integral part of the construction of the IRMA-LAN system. From it, a causal model is being constructed for use in prediction and deep reasoning about the system configuration. An AI network design advisor is being added to help in the design of an efficient network. The AI portion of the system is planned to evolve into a dynamic network management aid. The approach, the integrated simulation, project evolution, and some initial results are described.

  10. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  11. RISK MANAGEMENT IN CUSTOMS CONTROL

    Directory of Open Access Journals (Sweden)

    Elena Valerievna Drobot

    2017-06-01

    Full Text Available Customs administrations operating in the modern global economy are faced with a complex range of challenges. The prime responsibilities remain the collection of revenues and the protection of the society, but these demanding tasks must be performed effectively and efficiently, whilst at the same time facilitating the flow of legitimate goods. Risk management is a logical and systematic method of identifying, analyzing and managing risks. Risk management can be associated with any activity, function or process within the organization and will enable the organization to take advantage of opportunities and minimize potential losses. Minimization of the human factor in customs control through the implementation of non-intrusive inspection equipment can be very useful. The particularities of risk-management system (RMS implementation within customs control are discussed in the article. The authors single out the elements of the risk-management system, evaluate the effectiveness of risk-management in customs control. The main reasons for non-implementation of the risk-management system in customs control are described as well. The particular attention is paid to the benefits of customs risk management. The authors’ hypothesis is that risk management in customs control must find a balance between costs and benefits to address all risks equally. Criteria are needed to decide what constitutes an acceptable or unacceptable risk. Thus, system analysis and risk management system are the effective mechanisms for acceleration of customs clearance and improve the quality of customs control. As a conclusion, the authors give recommendations for the improvement of the effectiveness of risk management system in customs control.

  12. Risk management and corporate value

    Directory of Open Access Journals (Sweden)

    Milan Cupic

    2015-12-01

    Full Text Available The paper presents a theoretical framework for assessing the impact of risk management on corporate value. As the relevant factors that determine this impact, the paper analyzes market imperfections and investors’ risk aversion. The results of the present research indicate that risk management contributes to an increase in corporate value if, under the influence of market imperfections, corporate risk exposure is concave. As an expression of market imperfections, the paper analyzes the costs of financial distress, agency costs, and taxation. The results of the research also indicate that the risk management policy should not aim to minimize, but rather optimize risk exposure, by taking into account the costs of risk management, investors’ risk aversion and the competitive advantage a corporation has on the relevant market.

  13. Unmanned air vehicles - real time intelligence without the risk

    OpenAIRE

    Miller, James Bryan.

    1988-01-01

    Unmanned Air Vehicles (UAVs) are capable of supporting the officer in tactical command (OTC) by gathering intelligence in real- or near real-time. UAVs now under development will be able to collect high-resolution imagery, and thus provide the OTC with the option of gathering tactical intelligence without using manned reconnaissance platforms. This thesis asserts that UAVs should be used to supplement existing intelligence sensors, particularly in those cases where current sources are too amb...

  14. Intelligent model-based diagnostics for vehicle health management

    Science.gov (United States)

    Luo, Jianhui; Tu, Fang; Azam, Mohammad S.; Pattipati, Krishna R.; Willett, Peter K.; Qiao, Liu; Kawamoto, Masayuki

    2003-08-01

    The recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. These advances facilitate remote monitoring, diagnosis and condition-based maintenance of automotive systems. With the increased sophistication of electronic control systems in vehicles, there is a concomitant increased difficulty in the identification of the malfunction phenomena. Consequently, the current rule-based diagnostic systems are difficult to develop, validate and maintain. New intelligent model-based diagnostic methodologies that exploit the advances in sensor, telecommunications, computing and software technologies are needed. In this paper, we will investigate hybrid model-based techniques that seamlessly employ quantitative (analytical) models and graph-based dependency models for intelligent diagnosis. Automotive engineers have found quantitative simulation (e.g. MATLAB/SIMULINK) to be a vital tool in the development of advanced control systems. The hybrid method exploits this capability to improve the diagnostic system's accuracy and consistency, utilizes existing validated knowledge on rule-based methods, enables remote diagnosis, and responds to the challenges of increased system complexity. The solution is generic and has the potential for application in a wide range of systems.

  15. An Intelligent Handover Management System for Future Generation Wireless Networks

    Directory of Open Access Journals (Sweden)

    Kassar Meriem

    2008-01-01

    Full Text Available Abstract Future generation wireless networks should provide to mobile users the best connectivity to services anywhere at anytime. The most challenging problem is the seamless intersystem/vertical mobility across heterogeneous wireless networks. In order to answer it, a vertical handover management system is needed. In our paper, we propose an intelligent solution answering user requirements and ensuring service continuity. We focus on a vertical handover decision strategy based on the context-awareness concept. The given strategy chooses the appropriate time and the most suitable access network among those available to perform a handover. It uses advanced decision algorithms (for more efficiency and intelligence and it is governed by handover policies as decision rules (for more flexibility and optimization. To maintain a seamless service continuity, handover execution is based on mobile IP functionalities. We study our decision system in a case of a 3G/UMTS-WLAN scenario and we discuss all the handover decision issues in our solution.

  16. Risk management of precious metals

    NARCIS (Netherlands)

    S.M. Hammoudeh (Shawkat); F. Malik (Farooq); M.J. McAleer (Michael)

    2010-01-01

    textabstractThis paper examines volatility and correlation dynamics in price returns of gold, silver, platinum and palladium, and explores the corresponding risk management implications for market risk and hedging. Value-at-Risk (VaR) is used to analyze the downside market risk associated with

  17. Risk Management in Logystics Chains

    OpenAIRE

    Butrin, Andrey; Vikulov, Vladimir

    2013-01-01

    Article is devoted to risk management of supply chain. The authors considered indicators of supply chain risks, including risks caused by supplier. Authors formed a method of optimizing the level of supply chain risk in the integration with suppliers and customers.

  18. Improving Information Security Risk Management

    Science.gov (United States)

    Singh, Anand

    2009-01-01

    manaOptimizing risk to information to protect the enterprise as well as to satisfy government and industry mandates is a core function of most information security departments. Risk management is the discipline that is focused on assessing, mitigating, monitoring and optimizing risks to information. Risk assessments and analyses are critical…

  19. THE COMBINED USE OF BUSINESS MANAGEMENT WITH FACILITY MANAGEMENT AS AN OPTION FOR INTELLIGENT BUILDING

    Directory of Open Access Journals (Sweden)

    Andreas Dittmar Weise

    2014-01-01

    Full Text Available Words like Business Management (BM and Facility Management (FM are well known as separate management methods. FM offers transparency about their property costs and exploitation, starting from the planning phase until its demolition. The investor sees this in the property invested capital and its recoverable yield. This means they also want a profit with their real estates. Besides this, changes in the social and environmental requirements become necessary to adapt the properties. The solution is called Intelligent Building. Its primary aim is to collect and select previous knowledge and information about Facility Management and Business Management. It is an application, mainly with sight to characterize and describe the possibilities of use of intelligent buildings as a combination of Facility and Business Management. This paper is an indirect survey carried out through a documental procedure in the form of a bibliographic research and theoretician study. Intelligent Building as combination of FM and BM is new, but in our times necessary to satisfy the needs of the demand. This type of building needs to be flexible in its structure and services, open for changes in environmental requirements, e.g. saving energy, and needs a lot of technology to realize their functions. Consequently, it will be sustainable for a value enhancement. With a Computer Aided Facilities Management system this is possible and the company will be more flexible in relation to the competitors and future changes.

  20. Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

    Science.gov (United States)

    Labovitz, Daniel L; Shafner, Laura; Reyes Gil, Morayma; Virmani, Deepti; Hanina, Adam

    2017-05-01

    This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulants, while reducing the need for monitoring, have also placed pressure on patients to self-manage. Suboptimal adherence goes undetected as routine laboratory tests are not reliable indicators of adherence, placing patients at increased risk of stroke and bleeding. A randomized, parallel-group, 12-week study was conducted in adults (n=28) with recently diagnosed ischemic stroke receiving any anticoagulation. Patients were randomized to daily monitoring by the artificial intelligence platform (intervention) or to no daily monitoring (control). The artificial intelligence application visually identified the patient, the medication, and the confirmed ingestion. Adherence was measured by pill counts and plasma sampling in both groups. For all patients (n=28), mean (SD) age was 57 years (13.2 years) and 53.6% were women. Mean (SD) cumulative adherence based on the artificial intelligence platform was 90.5% (7.5%). Plasma drug concentration levels indicated that adherence was 100% (15 of 15) and 50% (6 of 12) in the intervention and control groups, respectively. Patients, some with little experience using a smartphone, successfully used the technology and demonstrated a 50% improvement in adherence based on plasma drug concentration levels. For patients receiving direct oral anticoagulants, absolute improvement increased to 67%. Real-time monitoring has the potential to increase adherence and change behavior, particularly in patients on direct oral anticoagulant therapy. URL: http://www.clinicaltrials.gov. Unique identifier: NCT02599259. © 2017 American Heart Association, Inc.

  1. RISKS MANAGEMENT: NEW LITERATURE REVIEW

    OpenAIRE

    Ennouri Wissem

    2013-01-01

    The complexity of the industrial activities and the important mass of flows crossing the supply chain promotes the emergence of risks that must be considered in the decision process. For this reason, we have developed this paper to clarify the basics of risk management through a short new suggestion of literature review for risk management. Our justification of this attempt is that this area is the most discussed in our days and it is impossible to present all definition of the risk concept, ...

  2. Integrated supply chain risk management

    OpenAIRE

    Riaan Bredell; Jackie Walters

    2007-01-01

    Integrated supply chain risk management (ISCRM) has become indispensable to the theory and practice of supply chain management. The economic and political realities of the modern world require not only a different approach to supply chain management, but also bold steps to secure supply chain performance and sustainable wealth creation. Integrated supply chain risk management provides supply chain organisations with a level of insight into their supply chains yet to be achieved. If correctly ...

  3. Managing the risks of risk management on large fires

    Science.gov (United States)

    Donald G. MacGregor; Armando González-Cabán

    2013-01-01

    Large fires pose risks to a number of important values, including the ecology, property and the lives of incident responders. A relatively unstudied aspect of fire management is the risks to which incident managers are exposed due to organizational and sociopolitical factors that put them in a position of, for example, potential liability or degradation of their image...

  4. Adolescents with Low Intelligence Are at Risk of Functional Somatic Symptoms : The TRAILS Study

    NARCIS (Netherlands)

    Kingma, Eva M.; Janssens, Karin A. M.; Venema, Manon; Ormel, Johan; de Jonge, Peter; Rosmalen, Judith G. M.

    2011-01-01

    Purpose: Low intelligence is a risk factor for functional somatic symptoms (FSSs) in adults, but it is unknown whether a similar association exists in adolescents. We hypothesized that low intelligence may lead to FSS, and that this association is mediated by low school performance. In addition, we

  5. At-risk students and the role of implicit theories of intelligence in educational professionals’ actions

    NARCIS (Netherlands)

    Tiekstra, Marlous; Minnaert, Alexander

    2017-01-01

    Implicit theories of intelligence play a role in teacher's actions. Adaptive instruction in and out of the classroom is important to optimize learning processes, especially in the case of at-risk students. This study explored to what extent implicit theories of intelligence play a role in the

  6. The Uncertainties of Risk Management

    DEFF Research Database (Denmark)

    Vinnari, Eija; Skærbæk, Peter

    2014-01-01

    for expanding risk management. More generally, such uncertainties relate to the professional identities and responsibilities of operational managers as defined by the framing devices. Originality/value – The paper offers three contributions to the extant literature: first, it shows how risk management itself......Purpose – The purpose of this paper is to analyse the implementation of risk management as a tool for internal audit activities, focusing on unexpected effects or uncertainties generated during its application. Design/methodology/approach – Public and confidential documents as well as semi......-structured interviews are analysed through the lens of actor-network theory to identify the effects of risk management devices in a Finnish municipality. Findings – The authors found that risk management, rather than reducing uncertainty, itself created unexpected uncertainties that would otherwise not have emerged...

  7. VIRTUAL COGNITIVE CENTERS AS INTELLIGENT SYSTEMS FOR MANAGEMENT INFORMATION SUPPORT OF REGIONAL SECURITY

    Directory of Open Access Journals (Sweden)

    A. V. Masloboev

    2014-03-01

    Full Text Available The paper deals with engineering problems and application perspectives of virtual cognitive centers as intelligent systems for information support of interagency activities in the field of complex security management of regional development. A research prototype of virtual cognitive center for regional security management in crisis situations, implemented as hybrid cloud service based on IaaS architectural framework with the usage of multi-agent and web-service technologies has been developed. Virtual cognitive center is a training simulator software system and is intended for solving on the basis of distributed simulation such problems as: strategic planning and forecasting of risk-sustainable development of regional socioeconomic systems, agents of management interaction specification synthesis for regional components security in different crisis situations within the planning stage of joint anti-crisis actions.

  8. Continuous Risk Management at NASA

    Science.gov (United States)

    Hammer, Theodore F.; Rosenberg, Linda

    1999-01-01

    NPG 7120.5A, "NASA Program and Project Management Processes and Requirements" enacted in April, 1998, requires that "The program or project manager shall apply risk management principles..." The Software Assurance Technology Center (SATC) at NASA GSFC has been tasked with the responsibility for developing and teaching a systems level course for risk management that provides information on how to comply with this edict. The course was developed in conjunction with the Software Engineering Institute at Carnegie Mellon University, then tailored to the NASA systems community. This presentation will briefly discuss the six functions for risk management: (1) Identify the risks in a specific format; (2) Analyze the risk probability, impact/severity, and timeframe; (3) Plan the approach; (4) Track the risk through data compilation and analysis; (5) Control and monitor the risk; (6) Communicate and document the process and decisions. This risk management structure of functions has been taught to projects at all NASA Centers and is being successfully implemented on many projects. This presentation will give project managers the information they need to understand if risk management is to be effectively implemented on their projects at a cost they can afford.

  9. DEFENSE PROGRAMS RISK MANAGEMENT FRAMEWORK

    Directory of Open Access Journals (Sweden)

    Constantin PREDA

    2012-01-01

    Full Text Available For the past years defense programs have faced delays in delivering defense capabilities and budget overruns. Stakeholders are looking for ways to improve program management and the decision making process given the very fluid and uncertain economic and political environment. Consequently, they have increasingly resorted to risk management as the main management tool for achieving defense programs objectives and for delivering the defense capabilities strongly needed for the soldiers on the ground on time and within limited defense budgets. Following a risk management based decision-making approach the stakeholders are expected not only to protect program objectives against a wide range of risks but, at the same time, to take advantage of the opportunities to increase the likelihood of program success. The prerequisite for making risk management the main tool for achieving defense programs objectives is the design and implementation of a strong risk management framework as a foundation providing an efficient and effective application of the best risk management practices. The aim of this paper is to examine the risk management framework for defense programs based on the ISO 31000:2009 standard, best risk management practices and the defense programs’ needs and particularities. For the purposes of this article, the term of defense programs refers to joint defense programs.

  10. Emotional Intelligence and Transformational Leadership in Nurse Managers.

    Science.gov (United States)

    Spano-Szekely, Lauraine; Quinn Griffin, Mary T; Clavelle, Joanne; Fitzpatrick, Joyce J

    2016-02-01

    This study describes the relationship between emotional intelligence (EI) and transformational leadership (TL) in nurse managers (NMs). Effective NM leadership is important as they have direct influence over RN performance and patient outcomes. Research has demonstrated that a TL style generates greater commitment from followers than other leadership styles. EI is 1 potential characteristic of TL. A descriptive exploratory research study was conducted to correlate EI and TL practices of NMs. EI was significantly positively correlated with TL and outcome measures of extra-effort, effectiveness, and satisfaction and significantly negatively correlated with laissez-faire leadership. A positive relationship was found between TL and NMs with advanced education and administrative certification. Nursing administrators should consider EI characteristics when hiring NMs and lead efforts to advance education to align with organization needs for business and strategic essentials necessary for NM effectiveness.

  11. Online Services Management Support for an Intelligent Locality

    Directory of Open Access Journals (Sweden)

    Lorena BĂTĂGAN

    2011-07-01

    Full Text Available As the number of habitants of large cities is expanding, put greater pressure on city infrastructure delivering vital services, such as health, education, public safety and transport. These efforts are added to changing public demands for better information, better education, environmental programs, a more open government, lower maintenance costs and other housing options for older people. Therefore, to achieve these goals, it must take into account the quality of all services, but especially the quality of online services based on the use of modern information and communication technologies.The management of service quality on-line offers a performance evaluation and comparative analysis of indicators. He also works as a decision support to improve the quality of online services and increasing customer satisfaction, essential elements in an intelligent city.

  12. Software to manage transformers using intelligent electronic device

    Directory of Open Access Journals (Sweden)

    Marcio Zamboti Fortes

    2016-01-01

    Full Text Available Power companies usually answer the increase in power demand by building new generation facilities. Nevertheless, an efficient use of energy could reduce and delay the costs of investment in new power plants. This paper shows a software system to manage transformers and evaluate losses when they work with zero loads. This system contributes to reduce the waste of energy with some simple actions such as shutting off an unused transformer or reconnecting disabled equipment based on the customer’s demand. It uses real time measurements collected from Intelligent Electronic Devices as a base for software decisions. It also measures and reports the total power saving.

  13. Intelligence systems in environmental management theory and applications

    CERN Document Server

    Sari, İrem

    2017-01-01

    This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspec...

  14. Intelligent heat management in cooling modules; Intelligentes Thermomanagement in Kuehlmodulen

    Energy Technology Data Exchange (ETDEWEB)

    Wilken, H. [Sueddeutsche Kuehlerfabrik Julius F. Behr GmbH und Co. KG, Stuttgart (Germany); Loehle, M. [Sueddeutsche Kuehlerfabrik Julius F. Behr GmbH und Co. KG, Stuttgart (Germany); Bauer, D. [Sueddeutsche Kuehlerfabrik Julius F. Behr GmbH und Co. KG, Stuttgart (Germany)

    1995-12-31

    The combination of numerous components which transfer heat, transport and conduct air and the corresponding control devices into a single module enables the realisation of additional functions, the increase of quality and the minimisation of weight, volume and cost. The integration of further components provides the opportunity to develop an intelligent thermo-management system. The advantages and capabilities of such a system which has been developed by only one responsible purveyor are explained. (orig.) [Deutsch] Die Zusammenfassung einer Vielzahl waermeuebertragender, luftfoerdernder, luftleitender Komponenten und Regeleinrichtungen in einem einzigen Modul ermoeglicht die Wahrnehmung zusaetzlicher Funktionen, die Steigerung der Qualitaet sowie Minimierung von Gewicht, Volumen und Kosten. Die Integration weiterer Komponenten bietet die Chance der Weiterentwicklung hin zu einem intelligenten Thermomanagementsystem. Vorteile und Moeglichkeiten eines derartigen, in der Hand eines systemverantwortlichen Zulieferers entwickelten Systemes werden aufgezeigt. (orig.)

  15. RISK MANAGEMENT: AN INTEGRATED APPROACH TO RISK MANAGEMENT AND ASSESSMENT

    OpenAIRE

    Szabo Alina

    2012-01-01

    Purpose: The objective of this paper is to offer an overview over risk management cycle by focusing on prioritization and treatment, in order to ensure an integrated approach to risk management and assessment, and establish the ‘top 8-12’ risks report within the organization. The interface with Internal Audit is ensured by the implementation of the scoring method to prioritize risks collected from previous generated risk report. Methodology/approach: Using evidence from other research in ...

  16. NGNP Risk Management Database: A Model for Managing Risk

    International Nuclear Information System (INIS)

    Collins, John

    2009-01-01

    To facilitate the implementation of the Risk Management Plan, the Next Generation Nuclear Plant (NGNP) Project has developed and employed an analytical software tool called the NGNP Risk Management System (RMS). A relational database developed in Microsoft(reg s ign) Access, the RMS provides conventional database utility including data maintenance, archiving, configuration control, and query ability. Additionally, the tool's design provides a number of unique capabilities specifically designed to facilitate the development and execution of activities outlined in the Risk Management Plan. Specifically, the RMS provides the capability to establish the risk baseline, document and analyze the risk reduction plan, track the current risk reduction status, organize risks by reference configuration system, subsystem, and component (SSC) and Area, and increase the level of NGNP decision making.

  17. NGNP Risk Management Database: A Model for Managing Risk

    Energy Technology Data Exchange (ETDEWEB)

    John Collins

    2009-09-01

    To facilitate the implementation of the Risk Management Plan, the Next Generation Nuclear Plant (NGNP) Project has developed and employed an analytical software tool called the NGNP Risk Management System (RMS). A relational database developed in Microsoft® Access, the RMS provides conventional database utility including data maintenance, archiving, configuration control, and query ability. Additionally, the tool’s design provides a number of unique capabilities specifically designed to facilitate the development and execution of activities outlined in the Risk Management Plan. Specifically, the RMS provides the capability to establish the risk baseline, document and analyze the risk reduction plan, track the current risk reduction status, organize risks by reference configuration system, subsystem, and component (SSC) and Area, and increase the level of NGNP decision making.

  18. Knowledge management, business intelligence, and content management the IT practitioner's guide

    CERN Document Server

    Keyes, Jessica

    2006-01-01

    The New Intelligence: The Birth of the KnowledgeManagement Industry Buried in Information From Batch to Decision Support A Short Course in Knowledge Representation Data, Information, Knowledge, and Wisdom - and Why WeNeed to Do This Embedding Knowledge Management in the OrganizationWhere Do We Go Next?Knowledge Management Transfer Strategies KM Frameworks Knowledge Transfer TechniquesWhere Do We Go Next?Knowledge-Engineering Techniques Two Levels of Knowledge ElicitationA Knowledge-Engineering MethodologyWhere Do We Go Next? Innovation ManagementSources of InnovationGenerating Innovation Compu

  19. Worldwide Intelligent Systems: Approaches to Telecommunications and Network Management. Frontiers in Artificial Intelligence and Applications, Volume 24.

    Science.gov (United States)

    Liebowitz, Jay, Ed.; Prerau, David S., Ed.

    This is an international collection of 12 papers addressing artificial intelligence (AI) and knowledge technology applications in telecommunications and network management. It covers the latest and emerging AI technologies as applied to the telecommunications field. The papers are: "The Potential for Knowledge Technology in…

  20. Selecting Copulas for Risk Management

    NARCIS (Netherlands)

    H.J.W.G. Kole (Erik); C.G. Koedijk (Kees); M.J.C.M. Verbeek (Marno)

    2006-01-01

    textabstractCopulas offer financial risk managers a powerful tool to model the dependence between the different elements of a portfolio and are preferable to the traditional, correlation-based approach. In this paper we show the importance of selecting an accurate copula for risk management. We

  1. Corporate risk management : an overview

    NARCIS (Netherlands)

    Oosterhof, Casper M.

    2001-01-01

    Corporate risk management and hedging are important activities within financial as well as non-financial corporations. Under the assumptions of Modigliani and Miller [1958], corporate risk management is a redundant activity. However, the existence of market imperfections can explain the corporate

  2. Systems Intelligence in Knowledge Management Implementation: A Momentum of the SECI Model

    OpenAIRE

    Sasaki, Yasuo

    2014-01-01

    This paper discusses the role of systems intelligence in knowledge management implementations, in particular, in the SECI model, a widely acknowledged knowledge creation process in an organization identified by Nonaka and Takeuchi (1995). The SECI model deals with interactions and conversions of tacit knowledge and explicit knowledge and mainly consists of four stages. The author illustrates systems intelligence, a certain kind of human intelligence focusing on systems thinking perspective pr...

  3. DIFFERENCES IN SOCIAL AND MACHIAVELLIAN INTELLIGENCE BETWEEN THE MANAGEMENT STUDENTS FROM THE CZECH AND SLOVAK REPUBLIC

    OpenAIRE

    Miroslav Frankovský; Zuzana Birknerová

    2013-01-01

    Identifying and specifying social and Machiavellian intelligence is related to the broader discussion about the existence of several kinds of intelligence. When characterizing these two particular types it is inevitable to take a broader social context defining them into account. In the report we present the results of comparisons of assessing the selected attributes of social and Machiavellian intelligence by the management students from Czech Republic and Slovakia by means of the TSIS metho...

  4. Emotional Intelligence and Health Risk Behaviors in Nursing Students.

    Science.gov (United States)

    Lana, Alberto; Baizán, Eva María; Faya-Ornia, Goretti; López, María Luisa

    2015-08-01

    To explore the association between emotional intelligence (EI) and risky health behaviors in nursing students at the University of Oviedo (Spain). This cross-sectional study of 275 students used a validated questionnaire to measure EI level, nine risky behaviors (smoking, excessive alcohol consumption, illicit drug use, unhealthy diet, being overweight, sedentarism, risky sun exposure, occupational risk, and unsafe sex), and other factors that may influence EI. Students with the highest EI score had a lower probability of drinking too much alcohol (odds ratio [OR], 0.31; 95% confidence interval [CI] [0.19, 0.67]), eating too few fruits and vegetables (OR, 0.60; 95% CI [0.34, 0.99]), and having unsafe sex (OR, 0.10; 95% CI [0.01, 0.74]). A dose-response effect was found for those three behaviors (p for trend excessive alcohol consumption, unhealthy diet, and unsafe sex. Training nursing students about EI could improve health behaviors, and thus the role of nurses as health promoters. Copyright 2015, SLACK Incorporated.

  5. The Supply Chain Risk Management

    OpenAIRE

    Skitsko Volodymyr I.; Voynikov Mykola Yu.

    2018-01-01

    The article considers current approaches of risk-management in supply chains, the main steps of the risk management process are analyzed and detailed both for a separate enterprise – participant of supply chain, for the supply chain in general, and for the Beer game, based on the international risk management standards. The article provides a way to assess the risks of the «producer» in the Beer game according to the three strategies of its behavior, which presumably can correspond to differe...

  6. Risk management for whales

    OpenAIRE

    Cont, R; Wagalath, L

    2016-01-01

    We propose framework for modeling portfolio risk which integrates market risk with liquidation costs which may arise in stress scenarios. Our model provides a systematic method for computing liquidation-adjusted risk measures for a portfolio. Calculation of Liquidation-adjusted VaR (LVaR) for sample portfolios reveals a substantial impact of liquidation costs on portfolio risk for portfolios with large concentrated positions.

  7. Business risk management

    International Nuclear Information System (INIS)

    Cosby, C.

    2015-01-01

    Bruce Power's definition: an emerging and demonstrable event or change in business plan assumptions that could impact Bruce Power's achievement of its business plan objectives and results. Risks can be either negative (threats) or positive (opportunities). Risks against the 5 year business plan Net Risk = impact * probability.

  8. Business risk management

    Energy Technology Data Exchange (ETDEWEB)

    Cosby, C., E-mail: Christine.cosby@brucepower.com [Bruce Power, Tiverton, ON (Canada)

    2015-07-01

    Bruce Power's definition: an emerging and demonstrable event or change in business plan assumptions that could impact Bruce Power's achievement of its business plan objectives and results. Risks can be either negative (threats) or positive (opportunities). Risks against the 5 year business plan Net Risk = impact * probability.

  9. Benchmarking Global Food Safety Performances: The Era of Risk Intelligence.

    Science.gov (United States)

    Valleé, Jean-Charles Le; Charlebois, Sylvain

    2015-10-01

    Food safety data segmentation and limitations hamper the world's ability to select, build up, monitor, and evaluate food safety performance. Currently, there is no metric that captures the entire food safety system, and performance data are not collected strategically on a global scale. Therefore, food safety benchmarking is essential not only to help monitor ongoing performance but also to inform continued food safety system design, adoption, and implementation toward more efficient and effective food safety preparedness, responsiveness, and accountability. This comparative study identifies and evaluates common elements among global food safety systems. It provides an overall world ranking of food safety performance for 17 Organisation for Economic Co-Operation and Development (OECD) countries, illustrated by 10 indicators organized across three food safety risk governance domains: risk assessment (chemical risks, microbial risks, and national reporting on food consumption), risk management (national food safety capacities, food recalls, food traceability, and radionuclides standards), and risk communication (allergenic risks, labeling, and public trust). Results show all countries have very high food safety standards, but Canada and Ireland, followed by France, earned excellent grades relative to their peers. However, any subsequent global ranking study should consider the development of survey instruments to gather adequate and comparable national evidence on food safety.

  10. TRManager – Technical Risk Manager

    Directory of Open Access Journals (Sweden)

    Mark A. Gregory

    2009-06-01

    Full Text Available This paper presents research into the development of a new information management technique called Technical Risk Manager. Project management involves the use of processes and information management techniques to aid decision making in the pursuit of project success. Project success may be achieved by meeting time, cost or performance criteria. Current project management practices focus on achieving time and cost project success criteria by using three information management techniques developed in the 1950s: Gantt, PERT and Critical Path Method. Technical Risk Manager has been developed to provide an information management technique that may be used to aid project management decision making in the pursuit of achieving the performance project success criteria.

  11. Smart Grid Risk Management

    Science.gov (United States)

    Abad Lopez, Carlos Adrian

    Current electricity infrastructure is being stressed from several directions -- high demand, unreliable supply, extreme weather conditions, accidents, among others. Infrastructure planners have, traditionally, focused on only the cost of the system; today, resilience and sustainability are increasingly becoming more important. In this dissertation, we develop computational tools for efficiently managing electricity resources to help create a more reliable and sustainable electrical grid. The tools we present in this work will help electric utilities coordinate demand to allow the smooth and large scale integration of renewable sources of energy into traditional grids, as well as provide infrastructure planners and operators in developing countries a framework for making informed planning and control decisions in the presence of uncertainty. Demand-side management is considered as the most viable solution for maintaining grid stability as generation from intermittent renewable sources increases. Demand-side management, particularly demand response (DR) programs that attempt to alter the energy consumption of customers either by using price-based incentives or up-front power interruption contracts, is more cost-effective and sustainable in addressing short-term supply-demand imbalances when compared with the alternative that involves increasing fossil fuel-based fast spinning reserves. An essential step in compensating participating customers and benchmarking the effectiveness of DR programs is to be able to independently detect the load reduction from observed meter data. Electric utilities implementing automated DR programs through direct load control switches are also interested in detecting the reduction in demand to efficiently pinpoint non-functioning devices to reduce maintenance costs. We develop sparse optimization methods for detecting a small change in the demand for electricity of a customer in response to a price change or signal from the utility

  12. From Management Information Systems to Business Intelligence: The Development of Management Information Needs

    Directory of Open Access Journals (Sweden)

    Gėlytė Kazakevičienė

    2013-09-01

    Full Text Available Despite the advances in IT, information systems intended for management informing did not uniformly fulfil the increased expectations of users; this can be said mostly about complex information needs. Although some of the technologies for supporting complicated insights, like management decision support systems and technologies, experienced reduction in interest both from researchers and practitioners, this did not reduce the importance of well-supported business informing and decision making. Being attributed to the group of intelligent systems and technologies, decision support (DS technologies have been largely supplemented by business intelligence (BI technologies. Both types of technologies are supported by respective information technologies, which often appear to be quite closely related. The objective of this paper is to define relations between simple and complex informing intended to satisfy different sets of needs and provided by different sets of support tools. The paper attempts to put together decision support and business intelligence technologies, based on common goals of sense-making and use of advanced analytical tools. A model of two interconnected cycles has been developed to relate the activities of decision support and business intelligence. Empirical data from earlier research is used to direct possible further insights into this area.

  13. INTERNAL AUDIT AND RISK MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Elena RUSE

    2014-04-01

    Full Text Available The existence of risk in economic activity can not be denied. In fact, the risk is a concept which exists in every activity, the term of risk being identified with uncertainty, respectively the (unchance to produce an undesirable event. Internal audit and risk management aim at the same goal, namely the control of risks. Internal Audit performs several roles in risk management plan. The objectives of the internal audit function varies from company to company, but in all economic entities internal audit department aims to improve performance management, enterprise performance and thus improve the internal control system. This paper aims to demonstrate, among other things, that any event that may result in failure is unquestionably classified as risk.

  14. Integrated supply chain risk management

    Directory of Open Access Journals (Sweden)

    Riaan Bredell

    2007-11-01

    Full Text Available Integrated supply chain risk management (ISCRM has become indispensable to the theory and practice of supply chain management. The economic and political realities of the modern world require not only a different approach to supply chain management, but also bold steps to secure supply chain performance and sustainable wealth creation. Integrated supply chain risk management provides supply chain organisations with a level of insight into their supply chains yet to be achieved. If correctly applied, this process may optimise management decision-making and assist in the protection and enhancement of shareholder value.

  15. A Risk Management Architecture for Emergency Integrated Aircraft Control

    Science.gov (United States)

    McGlynn, Gregory E.; Litt, Jonathan S.; Lemon, Kimberly A.; Csank, Jeffrey T.

    2011-01-01

    Enhanced engine operation--operation that is beyond normal limits--has the potential to improve the adaptability and safety of aircraft in emergency situations. Intelligent use of enhanced engine operation to improve the handling qualities of the aircraft requires sophisticated risk estimation techniques and a risk management system that spans the flight and propulsion controllers. In this paper, an architecture that weighs the risks of the emergency and of possible engine performance enhancements to reduce overall risk to the aircraft is described. Two examples of emergency situations are presented to demonstrate the interaction between the flight and propulsion controllers to facilitate the enhanced operation.

  16. Handling risk attitudes for preference learning and intelligent decision support

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2015-01-01

    Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. Attitudes and preferences articulate and come together under a decision process that should be explicitly modeled...

  17. Enterprise risk management and disclosure

    Directory of Open Access Journals (Sweden)

    Nicoleta Farcane

    2008-01-01

    Full Text Available Our paper deals with aspects regarding risk and uncertainty. Many risk management methods are today implemented in organizations. This perspective reveals that managers are linked in different forms to the activities they are managing, depending on the conditions and levels of uncertainty they are in. Actually, these multiple levels of uncertainty lead to the conclusion that any situation in an organizational system can be classified in two different models of organizational phenomena: the organizational phenomena that are putting managers and stakeholders in conditions of risk and the organizational phenomena that are putting them in condition of uncertainty. Using content analyze in this paper we survey the disclosure level of risk management information in the annual report of top Romanian listed companies.

  18. Handbook on Decision Making Vol 2 Risk Management in Decision Making

    CERN Document Server

    Lu, Jie; Zhang, Guangquan

    2012-01-01

    This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

  19. The Interplay among Emotional Intelligence, Classroom Management, and Language Proficiency of Iranian EFL Teachers

    Directory of Open Access Journals (Sweden)

    Hadi Hamidi

    2016-06-01

    Full Text Available The present study was an attempt to investigate the interplay among Iranian EFL teachers’ emotional intelligence, classroom management, and their general English language proficiency. The result of the data analysis showed that: 1 there was a statistically significant relationship between the emotional intelligence and the classroom management of Iranian EFL teachers, 2 there was a statistically significant relationship between the emotional intelligence and the language proficiency of Iranian EFL teachers, and 3 there was a statistically significant relationship between the classroom management and the language proficiency of Iranian EFL teachers. Teacher trainers, researchers in teacher education, and language teachers may benefit from the findings of the present research.

  20. Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management

    Science.gov (United States)

    Lozada Aguilar, Miguel Ángel; Khrennikov, Andrei; Oleschko, Klaudia; de Jesús Correa, María

    2017-10-01

    The paper starts with a brief review of the literature about uncertainty in geological, geophysical and petrophysical data. In particular, we present the viewpoints of experts in geophysics on the application of Bayesian inference and subjective probability. Then we present arguments that the use of classical probability theory (CP) does not match completely the structure of geophysical data. We emphasize that such data are characterized by contextuality and non-Kolmogorovness (the impossibility to use the CP model), incompleteness as well as incompatibility of some geophysical measurements. These characteristics of geophysical data are similar to the characteristics of quantum physical data. Notwithstanding all this, contextuality can be seen as a major deviation of quantum theory from classical physics. In particular, the contextual probability viewpoint is the essence of the Växjö interpretation of quantum mechanics. We propose to use quantum probability (QP) for decision-making during the characterization, modelling, exploring and management of the intelligent hydrocarbon reservoir. Quantum Bayesianism (QBism), one of the recently developed information interpretations of quantum theory, can be used as the interpretational basis for such QP decision-making in geology, geophysics and petroleum projects design and management. This article is part of the themed issue `Second quantum revolution: foundational questions'.

  1. Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management.

    Science.gov (United States)

    Lozada Aguilar, Miguel Ángel; Khrennikov, Andrei; Oleschko, Klaudia; de Jesús Correa, María

    2017-11-13

    The paper starts with a brief review of the literature about uncertainty in geological, geophysical and petrophysical data. In particular, we present the viewpoints of experts in geophysics on the application of Bayesian inference and subjective probability. Then we present arguments that the use of classical probability theory (CP) does not match completely the structure of geophysical data. We emphasize that such data are characterized by contextuality and non-Kolmogorovness (the impossibility to use the CP model), incompleteness as well as incompatibility of some geophysical measurements. These characteristics of geophysical data are similar to the characteristics of quantum physical data. Notwithstanding all this, contextuality can be seen as a major deviation of quantum theory from classical physics. In particular, the contextual probability viewpoint is the essence of the Växjö interpretation of quantum mechanics. We propose to use quantum probability (QP) for decision-making during the characterization, modelling, exploring and management of the intelligent hydrocarbon reservoir Quantum Bayesianism (QBism), one of the recently developed information interpretations of quantum theory, can be used as the interpretational basis for such QP decision-making in geology, geophysics and petroleum projects design and management.This article is part of the themed issue 'Second quantum revolution: foundational questions'. © 2017 The Author(s).

  2. Managing knowledge business intelligence: A cognitive analytic approach

    Science.gov (United States)

    Surbakti, Herison; Ta'a, Azman

    2017-10-01

    The purpose of this paper is to identify and analyze integration of Knowledge Management (KM) and Business Intelligence (BI) in order to achieve competitive edge in context of intellectual capital. Methodology includes review of literatures and analyzes the interviews data from managers in corporate sector and models established by different authors. BI technologies have strong association with process of KM for attaining competitive advantage. KM have strong influence from human and social factors and turn them to the most valuable assets with efficient system run under BI tactics and technologies. However, the term of predictive analytics is based on the field of BI. Extracting tacit knowledge is a big challenge to be used as a new source for BI to use in analyzing. The advanced approach of the analytic methods that address the diversity of data corpus - structured and unstructured - required a cognitive approach to provide estimative results and to yield actionable descriptive, predictive and prescriptive results. This is a big challenge nowadays, and this paper aims to elaborate detail in this initial work.

  3. RISKS IN INVESTMENT AND MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Ms. Tatiana A. Ykovleva

    2016-12-01

    Full Text Available The article discusses the features of investment risks and their causes, as well as provides a detailed classification of investment risks. The authors reveal the essence and content of the investment process, risk management, providing material for presentation in the form of a diagram. In conclusion, the article explains the use of the system of specialized institutions as a way to exclude the basic, or primary investment risk.

  4. Artificial intelligence based decision support for trumpeter swan management

    Science.gov (United States)

    Sojda, Richard S.

    2002-01-01

    The number of trumpeter swans (Cygnus buccinator) breeding in the Tri-State area where Montana, Idaho, and Wyoming come together has declined to just a few hundred pairs. However, these birds are part of the Rocky Mountain Population which additionally has over 3,500 birds breeding in Alberta, British Columbia, Northwest Territories, and Yukon Territory. To a large degree, these birds seem to have abandoned traditional migratory pathways in the flyway. Waterfowl managers have been interested in decision support tools that would help them explore simulated management scenarios in their quest towards reaching population recovery and the reestablishment of traditional migratory pathways. I have developed a decision support system to assist biologists with such management, especially related to wetland ecology. Decision support systems use a combination of models, analytical techniques, and information retrieval to help develop and evaluate appropriate alternatives. Swan management is a domain that is ecologically complex, and this complexity is compounded by spatial and temporal issues. As such, swan management is an inherently distributed problem. Therefore, the ecological context for modeling swan movements in response to management actions was built as a multiagent system of interacting intelligent agents that implements a queuing model representing swan migration. These agents accessed ecological knowledge about swans, their habitats, and flyway management principles from three independent expert systems. The agents were autonomous, had some sensory capability, and could respond to changing conditions. A key problem when developing ecological decision support systems is empirically determining that the recommendations provided are valid. Because Rocky Mountain trumpeter swans have been surveyed for a long period of time, I was able to compare simulated distributions provided by the system with actual field observations across 20 areas for the period 1988

  5. Risk Management Issues - An Aerospace Perspective

    Science.gov (United States)

    Perera, Jeevan S.

    2011-01-01

    Phased-approach for implementation of risk management is necessary. Risk management system will be simple, accessible and promote communication of information to all relevant stakeholders for optimal resource allocation and risk mitigation. Risk management should be used by all team members to manage risks--risk office personnel. Each group is assigned Risk Integrators who are facilitators for effective risk management. Risks will be managed at the lowest-level feasible, elevate only those risks that require coordination or management from above. Risk reporting and communication is an essential element of risk management and will combine both qualitative and quantitative elements.. Risk informed decision making should be introduced to all levels of management. Provide necessary checks and balances to insure that risks are caught/identified and dealt with in a timely manner, Many supporting tools, processes & training must be deployed for effective risk management implementation. Process improvement must be included in the risk processes.

  6. Improving Operational Risk Management Using Business Performance Management Technologies

    OpenAIRE

    Bram Pieket Weeserik; Marco Spruit

    2018-01-01

    Operational Risk Management (ORM) comprises the continuous management of risks resulting from: human actions, internal processes, systems, and external events. With increasing requirements, complexity and a growing volume of risks, information systems provide benefits for integrating risk management activities and optimizing performance. Business Performance Management (BPM) technologies are believed to provide a solution for effective Operational Risk Management by offering several combined ...

  7. Scope of environmental risk management

    Energy Technology Data Exchange (ETDEWEB)

    O' Riordan, T

    1979-01-01

    Environmental risk management embraces three techniques for project appraisal: cost/benefit analysis, environmental impact analysis and risk assessment. It also explicitly relates scientific investigations to political judgments, sometimes so closely that the two cannot be separated. Indeed it is now apparent that environmental risk management encompasses procedures both to review the relative merits and priorities of policies as well as to appraise the environmental risks of particular schemes. Until recently this relationship has not been fully appreciated, so much imagination and innovation is still required to develop the most-suitable mechanisms for review.

  8. The Theme of Risk Management

    Directory of Open Access Journals (Sweden)

    Chua, D. K. H.

    2014-07-01

    Full Text Available The papers in this issue of the Journal come from different industry sectors, yet there can be a common theme that ties them together. Two of the papers address explicitly the issue of risk management, while the other three may be related to it in different degrees. One of the critical factors for project success is risk identification, as determined by Chua et al. (1999. The importance of risk management cannot be overemphasized. Failure to identify crucial risk elements in a project can lead to significant project failures in terms of cost and schedule.

  9. Tailoring Risk Management in Design

    DEFF Research Database (Denmark)

    Tegeltija, M.; Oehmen, J.; McMahon, C. A.

    2018-01-01

    While risk quantification research has grown over the last few decades, only a limited number of studies have addressed the overall process integration of these approaches in design risk management. This paper argues that the choice of risk quantification method has strong implications for several...... process aspects. We investigate current risk management maturity models and suggest an expansion to accommodate requirements originating from the choice of quantification method, and to inform the choice of quantification method, based on other process parameters, validated through 3 case companies....

  10. Managing Multiple Risk Factors

    National Research Council Canada - National Science Library

    Lollis, Charlie

    1998-01-01

    ...) contribute to the racial differences in cardiovascular risk and events among women. High levels of socioeconomic stress, higher dietary fat intake and sedentary lifestyle are more prevalent among black than white women...

  11. Integrating Organizational Learning and Business Praxis: A Case for Intelligent Project Management.

    Science.gov (United States)

    Cavaleri, Steven A.; Fearon, David S.

    2000-01-01

    Project management provides a natural home for organizational learning, freeing it from mechanical processes. Organizational learning plays a critical role in intelligent project management, which combines manageability, performance outcomes of knowledge management, and innovation. Learning should be integrated into an organization's core…

  12. Knowledge management in support of enterprise risk management

    OpenAIRE

    Rodriguez, Eduardo; Edwards, John S.

    2014-01-01

    Risk management and knowledge management have so far been studied almost independently. The evolution of risk management to the holistic view of Enterprise Risk Management requires the destruction of barriers between organizational silos and the exchange and application of knowledge from different risk management areas. However, knowledge management has received little or no attention in risk management. This paper examines possible relationships between knowledge management constructs relate...

  13. The NASA risk management program

    International Nuclear Information System (INIS)

    Buchbinder, B.; Philipson, L.L.

    1989-01-01

    This paper reports that the NASA Risk Management Program has been established to ensure the appropriate application of risk-based procedures in support of the elimination, reduction, or acceptance of significant safety risks of concern in NASA. The term appropriate is emphasized, in that the particular procedures applied to each given risk are to reflect its character and prioritized importance, the technological and economic feasibility of its treatment. A number of key documents have been produced in support of this implementation. Databases, risk analysis tools, and risk communication procedures requisite to the execution of the risk management functions also are being developed or documented. Several risk management applications have been made and a comprehensive application to a major new NASA program is underway. This paper summarizes the development and current status of the NASA Risk Management Program. Some principal actions that have been carried out in NASA in consonance with the program are noted particularly, and views are presented on the program's likely future directions

  14. How to manage risk better

    CSIR Research Space (South Africa)

    Walwyn, DR

    2002-09-01

    Full Text Available Risk management practices in the R&D departments of many chemical and pharmaceutical companies lack much of the rigor and sophistication of the equivalent corporation in the financial sector. For instance investment decisions on research projects...

  15. Risk Management and Value Creation

    DEFF Research Database (Denmark)

    Andersen, Torben Juul; Roggi, Oliviero

    Corporate failures, periodic recessions, regional debt crises and volatile financial markets have intensified the focus on risk management as the means to deal with turbulent conditions. The ability to respond effectively to abrupt environmental impacts is considered an important source...... of competitive advantage. Yet, surprisingly little research has analyzed whether the presumed advantages of effective risk management are associated with superior outcomes. Here we present a comprehensive study of risk management effectiveness and the relationship to corporate performance based on more than 33......,500 observations in 3,400 firms over the turbulent 20-year period 1991-2010. Determining effective risk management as the ability to reduce earnings and cash flow volatility, we find that both have significant positive relationships to lagged performance measures after controlling for industry effects, company...

  16. Risk assessment and risk management of mycotoxins.

    Science.gov (United States)

    2012-01-01

    Risk assessment is the process of quantifying the magnitude and exposure, or probability, of a harmful effect to individuals or populations from certain agents or activities. Here, we summarize the four steps of risk assessment: hazard identification, dose-response assessment, exposure assessment, and risk characterization. Risk assessments using these principles have been conducted on the major mycotoxins (aflatoxins, fumonisins, ochratoxin A, deoxynivalenol, and zearalenone) by various regulatory agencies for the purpose of setting food safety guidelines. We critically evaluate the impact of these risk assessment parameters on the estimated global burden of the associated diseases as well as the impact of regulatory measures on food supply and international trade. Apart from the well-established risk posed by aflatoxins, many uncertainties still exist about risk assessments for the other major mycotoxins, often reflecting a lack of epidemiological data. Differences exist in the risk management strategies and in the ways different governments impose regulations and technologies to reduce levels of mycotoxins in the food-chain. Regulatory measures have very little impact on remote rural and subsistence farming communities in developing countries, in contrast to developed countries, where regulations are strictly enforced to reduce and/or remove mycotoxin contamination. However, in the absence of the relevant technologies or the necessary infrastructure, we highlight simple intervention practices to reduce mycotoxin contamination in the field and/or prevent mycotoxin formation during storage.

  17. Reference system architecture for trade promotion management: leveraging business intelligence technologies and decision support systems

    NARCIS (Netherlands)

    Balmus, Andra Bianca; Iacob, Maria Eugenia; van Sinderen, Marten J.; van Busschbach, Murk

    Working towards gaining competitive advantage and establishing stable relationships with their supply chain intermediaries, fast moving consumer goods companies are currently focusing their attention on intelligent, goal-based funds investment. Traditional trade promotion management systems (TPMS),

  18. Towards an intelligent learning management system under blended learning trends, profiles and modeling perspectives

    CERN Document Server

    Dias, Sofia B; Hadjileontiadis, Leontios J

    2013-01-01

    This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

  19. Developing intelligent transportation systems using the national ITS architecture: an executive edition for senior transportation managers

    Science.gov (United States)

    1998-02-01

    This document has been produced to provide senior transportation managers of state and local departments of transportation with practical guidance for deploying Intelligent Transportation Systems (ITS) consistent with the National ITS Architecture. T...

  20. Decision Support for Software Process Management Teams: An Intelligent Software Agent Approach

    National Research Council Canada - National Science Library

    Church, Lori

    2000-01-01

    ... to market, eliminate redundancy, and ease job stress. This thesis proposes a conceptual model for software process management decision support in the form of an intelligent software agent network...

  1. Error Management in ATLAS TDAQ: An Intelligent Systems approach

    CERN Document Server

    Slopper, John Erik

    2010-01-01

    This thesis is concerned with the use of intelligent system techniques (IST) within a large distributed software system, specically the ATLAS TDAQ system which has been developed and is currently in use at the European Laboratory for Particle Physics(CERN). The overall aim is to investigate and evaluate a range of ITS techniques in order to improve the error management system (EMS) currently used within the TDAQ system via error detection and classication. The thesis work will provide a reference for future research and development of such methods in the TDAQ system. The thesis begins by describing the TDAQ system and the existing EMS, with a focus on the underlying expert system approach, in order to identify areas where improvements can be made using IST techniques. It then discusses measures of evaluating error detection and classication techniques and the factors specic to the TDAQ system. Error conditions are then simulated in a controlled manner using an experimental setup and datasets were gathered fro...

  2. 76 FR 45724 - Clearing Member Risk Management

    Science.gov (United States)

    2011-08-01

    ... proposed rules address risk management for cleared trades by futures commission merchants, swap dealers... Commission has proposed extensive regulations addressing open access and risk management at the derivatives..., 2011) (Risk Management Requirements for Derivatives Clearing Organizations). These proposed regulations...

  3. Producers' Complex Risk Management Choices

    NARCIS (Netherlands)

    Pennings, J.M.E.; Isengildina, O.; Irwin, S.H.; Garcia, P.; Good, D.L.

    2008-01-01

    Producers have a wide variety of risk management instruments available, making their choice(s) complex. The way producers deal with this complexity can vary and may influence the impact that the determinants, such as risk aversion, have on their choices. A recently developed choice bracketing

  4. Legal risk management in shipping

    DEFF Research Database (Denmark)

    Siig, Kristina

    The book discusses the most typical legal challenges met in the chartering, broker, agent or port management part of the shipping industry. It discusses these issues in both English and Scandinavian law and gives indications on how to best ensure your legal risk management in these parts...

  5. Intelligent demand side management of residential building energy systems

    Science.gov (United States)

    Sinha, Maruti N.

    Advent of modern sensing technologies, data processing capabilities and rising cost of energy are driving the implementation of intelligent systems in buildings and houses which constitute 41% of total energy consumption. The primary motivation has been to provide a framework for demand-side management and to improve overall reliability. The entire formulation is to be implemented on NILM (Non-Intrusive Load Monitoring System), a smart meter. This is going to play a vital role in the future of demand side management. Utilities have started deploying smart meters throughout the world which will essentially help to establish communication between utility and consumers. This research is focused on investigation of a suitable thermal model of residential house, building up control system and developing diagnostic and energy usage forecast tool. The present work has considered measurement based approach to pursue. Identification of building thermal parameters is the very first step towards developing performance measurement and controls. The proposed identification technique is PEM (Prediction Error Method) based, discrete state-space model. The two different models have been devised. First model is focused toward energy usage forecast and diagnostics. Here one of the novel idea has been investigated which takes integral of thermal capacity to identify thermal model of house. The purpose of second identification is to build up a model for control strategy. The controller should be able to take into account the weather forecast information, deal with the operating point constraints and at the same time minimize the energy consumption. To design an optimal controller, MPC (Model Predictive Control) scheme has been implemented instead of present thermostatic/hysteretic control. This is a receding horizon approach. Capability of the proposed schemes has also been investigated.

  6. Price Risk and Risk Management in Agriculture

    Directory of Open Access Journals (Sweden)

    Udo Broll

    2013-06-01

    Full Text Available This note studies the risk-management decisions of a risk-averse farmer. The farmer faces multiple sources of price uncertainty. He sells commodities to two markets at two prices, but only one of these markets has a futures market. We show that the farmer’s optimal commodity futures market position, i.e., a cross-hedge strategy, is actually an over-hedge, a full-hedge, or an under-hedge strategy, depending on whether the two prices are strongly positively correlated, uncorrelated, or negatively correlated, respectively.

  7. EMOTIONAL INTELLIGENCE AND ORGANIZATIONAL COMPETITIVENESS: MANAGEMENT MODEL APPROACH

    Directory of Open Access Journals (Sweden)

    John N. N. Ugoani

    2016-09-01

    Full Text Available Modern organization theory considers emotional intelligence as the index of competencies that help organizations to develop a vision for competitiveness. It also allows organizational leaders to enthusiastically commit to the vision, and energize organizational members to achieve the vision. To maximize competiveness organizations use models to simplify and clarify thinking, to identify important aspects, to suggest explanations and to predict consequences, and explore other performance areas that would otherwise be hidden in an excess of words. The survey research design was used to explore the relationship between emotional intelligence and organizational competitiveness. The study found that emotional intelligence has strong positive relationship with organizational competitiveness

  8. Managing Supplier Sustainability Risk

    OpenAIRE

    Harilainen, Hanna-Riitta

    2014-01-01

    Supply chains are increasingly global, often reaching to developing regions. The media pressure brand owners to be responsible, but a product is only as sustainable as the practices of all the companies involved in manufacturing it are. It’s not enough that the brand owner acts responsibly; sustainable practices have to reach component and raw material suppliers upstream. Image risk has often been recognized as reason for investing in sustainability. In the supply chain context, supplier m...

  9. Energy price risk management

    International Nuclear Information System (INIS)

    Evans, J.W.G.

    1998-01-01

    While long term, fixed price contracts for fuel procurement and export of excess power may lock in the economics of a CHP plant, these do not necessarily give the best pricing opportunities that may exist during the life of those contracts. A more prudent approach may be to vary the length of the contracts and markets are now developing in gas and electricity to assist in the management of such a portfolio. (Author)

  10. Underground risk management information systems

    Energy Technology Data Exchange (ETDEWEB)

    Matsuyama, S.; Inoue, M.; Sakai, T.

    2006-03-15

    JCOAL has conducted Joint Research on an Underground Communication and Risk Management Information System with CSIRO of Australia under a commissioned study project for the promotion of coal use starting in fiscal 2002. The goal of this research project is the establishment of a new Safety System focusing on the comprehensive risk management information system by the name of Nexsys. The main components of the system are the Ethernet type underground communication system that represents the data communication base, and the risk management information system that permits risk analysis in real-time and provides decision support based on the collected data. The Nexsys is an open system and is a core element of the underground monitoring system. Using a vast amount of underground data, it is capable of accommodating a wide range of functions that were not available in the past. Because of it, it is possible to construct an advanced underground safety system. 14 figs., 4 tabs.

  11. A New Risk Factor in the Evolution of Intelligence

    Directory of Open Access Journals (Sweden)

    Ecaterina Guiță

    2014-05-01

    Full Text Available The purpose of this article is to point out the way intelligence evolved in the last decades with the accent on the new threats or challenges it‘s faced with nowadays as well as to highlight it‘s importance in every matter concerning the states but also raising to the level of the entire international system through it‘s new ways of responding and operating in the informational era. Just as Michael Herman and Richard J. Aldrich pointed out in their works, it is well known that the future of intelligence should concern every actor provided that the more technology evolves it‘s role as well as the need for such structures are increasing. The main methods employed were documentation, observation, research and case study. Conducting this study we learned that the problem is still actual as the discussions concerning a major issue intelligence is confronted with are still open. The study has implications in the academic groups because intelligence needs more and more specialists capable to face every situation no matter how unforeseen. The present paper brings together different points of view concerning the matter but was also meant as an alarm signal for the readers.

  12. Risk management for noncombustion wastes

    International Nuclear Information System (INIS)

    Connor, K.K.; Rice, J.S.

    1991-01-01

    The Noncombustion Waste Risk Management Project is designed to incorporate the insights and information developed in these projects into tools that will help utilities make better noncombustion waste management decisions. Specific project goals are to synthesize information useful to utilities on noncombustion wastes, emphasize waste reduction as a priority over end-of-pipe management, develop methods to manage the costs and risks associated with noncombustion wastes (e.g., direct costs, permitting costs, liability costs, public relations costs), develop software and documentation to deliver the information and analysis methods to the industry. This project was initiated EPRI's Environment Division in late 1988. The early phases of the project involved gathering information on current noncombustion waste management practices, specific utility problems and concerns with respect to these wastes, current and potential future regulations, and current and emerging management options. Recent efforts have focused on characterizing the direct and indirect (e.g., lawsuits, remedial action) costs of managing these wastes and on developing and implementing risk management methods for a subset of wastes. The remainder of this paper describes the specific issues addressed by and the results and insights from the three completed waste-specific studies

  13. Development of Intelligent Database Program for PSI/ISI Data Management of Nuclear Power Plant

    International Nuclear Information System (INIS)

    Park, Un Su; Park, Ik Keun; Um, Byong Guk; Park, Yun Won; Kang, Suk Chul

    1998-01-01

    For an effective and efficient management of large amounts of preservice/inservice inspection(PSI/ISI) data in nuclear power plants, an intelligent Windows 95-based data management program was developed. This program enables the prompt extraction of previously conducted PSI/ISI conditions and results so that the time-consuming data management, painstaking data processing and analysis in the past are avoided. The program extracts, and the associated remedies. Furthermore, additional inspection data and comments can be easily added or deleted for subsequent PSI/ISI operation. Although the initial version of the program was applied to Kori nuclear power plant, this program can be equally applied to other nuclear power plant. And also this program can be used to offer the fundamental data for application of evaluation data related to fracture mechanics analysis(FMA), probabilistic reliability assessment(PRA) of PSI/ISI results, performance demonstration initiative(PDI) and risk-informed ISI based on probability of detection(POD) information of ultrasonic examination. Besides, the program can be further developed as a unique PSI/ISI data management expert system that can be apart of PSI/ISI data management expert system that can be a part of PSI/ISI Total Support System(TSS) for Korean nuclear power plants

  14. Risk Management in the Exchange Fund Account

    OpenAIRE

    Michel Rochette

    2002-01-01

    In this article, author Michel Rochette of the Bank's Risk-Management Unit briefly describes the initiatives undertaken to identify, analyze, model, and manage the principal risks inherent in the transactions of the Exchange Fund Account (EFA), where the international reserves of the federal government are held. The author focuses on five types of risk: credit risk, market risk, liquidity risk, operational risk, and legal risk. In addition, the author presents the risk-management principles u...

  15. Managing nuclear supplier risks

    International Nuclear Information System (INIS)

    Ramberg, B.

    1990-01-01

    This paper reports that with the appearance of such third-tier suppliers as Argentina, Brazil, South Korea, Taiwan, China, and others capable of producing nuclear components and sensitive nuclear materials, assurance that importers are using nuclear energy benignly and safely may become more uncertain. It is therefore important to integrate emerging exporters and importers into a regime of norms designed to minimize nuclear risks. The experience of the London Nuclear Suppliers Group (NSG) to arrive at a code of conduct is encouraging. Placed in the context of the larger evolving nuclear energy regime that seeks to address nuclear safety, proliferation, terrorism, and military attacks on reactors, the international community has made substantial progress. Still, there is much that remains to be done

  16. Risk management through concurrency

    International Nuclear Information System (INIS)

    Childress, J.R.; Briant, V.B.

    1991-01-01

    More than ever before, management and technical professionals are concerned with the subtle and dynamic relationships between safety and performance in complex and hazardous industries. This is certainly true in the nuclear power industry. With the US electric energy industry on the verge of deregulation and increased competition, and with a virtual stoppage on building new nuclear power plants, the increasing demand for reliable sources of efficient electric energy is pressing the nuclear utilities to increase production. At the same time, public sentiment and regulatory pressures are increasing their focus on safety at all costs. The purpose of this paper is to present a proven approach to creating a new work culture for improved nuclear safety and performance. The concepts and material which make up this paper have been taken from both authors experience, research, and consulting in the nuclear industry for several years, as well as from over 20 years of consulting work on the relationships between organizational behavior, culture, and productivity

  17. DEMAID - A DESIGN MANAGER'S AID FOR INTELLIGENT DECOMPOSITION (MACINTOSH VERSION)

    Science.gov (United States)

    Rogers, J. L.

    1994-01-01

    Many engineering systems are large and multi-disciplinary. Before the design of new complex systems such as large space platforms can begin, the possible interactions among subsystems and their parts must be determined. Once this is completed the proposed system can be decomposed to identify its hierarchical structure. DeMAID (A Design Manager's Aid for Intelligent Decomposition) is a knowledge-based system for ordering the sequence of modules and identifying a possible multilevel structure for the design problem. DeMAID displays the modules in an N x N matrix format (called a design structure matrix) where a module is any process that requires input and generates an output. (Modules which generate an output but do not require an input, such as an initialization process, are also acceptable.) Although DeMAID requires an investment of time to generate and refine the list of modules for input, it could save a considerable amount of money and time in the total design process, particularly in new design problems where the ordering of the modules has not been defined. The decomposition of a complex design system into subsystems requires the judgement of the design manager. DeMAID reorders and groups the modules based on the links (interactions) among the modules, helping the design manager make decomposition decisions early in the design cycle. The modules are grouped into circuits (the subsystems) and displayed in an N x N matrix format. Feedback links, which indicate an iterative process, are minimized and only occur within a subsystem. Since there are no feedback links among the circuits, the circuits can be displayed in a multilevel format. Thus, a large amount of information is reduced to one or two displays which are stored for later retrieval and modification. The design manager and leaders of the design teams then have a visual display of the design problem and the intricate interactions among the different modules. The design manager could save a substantial

  18. DEMAID - A DESIGN MANAGER'S AID FOR INTELLIGENT DECOMPOSITION (SUN VERSION)

    Science.gov (United States)

    Rogers, J. L.

    1994-01-01

    Many engineering systems are large and multi-disciplinary. Before the design of new complex systems such as large space platforms can begin, the possible interactions among subsystems and their parts must be determined. Once this is completed the proposed system can be decomposed to identify its hierarchical structure. DeMAID (A Design Manager's Aid for Intelligent Decomposition) is a knowledge-based system for ordering the sequence of modules and identifying a possible multilevel structure for the design problem. DeMAID displays the modules in an N x N matrix format (called a design structure matrix) where a module is any process that requires input and generates an output. (Modules which generate an output but do not require an input, such as an initialization process, are also acceptable.) Although DeMAID requires an investment of time to generate and refine the list of modules for input, it could save a considerable amount of money and time in the total design process, particularly in new design problems where the ordering of the modules has not been defined. The decomposition of a complex design system into subsystems requires the judgement of the design manager. DeMAID reorders and groups the modules based on the links (interactions) among the modules, helping the design manager make decomposition decisions early in the design cycle. The modules are grouped into circuits (the subsystems) and displayed in an N x N matrix format. Feedback links, which indicate an iterative process, are minimized and only occur within a subsystem. Since there are no feedback links among the circuits, the circuits can be displayed in a multilevel format. Thus, a large amount of information is reduced to one or two displays which are stored for later retrieval and modification. The design manager and leaders of the design teams then have a visual display of the design problem and the intricate interactions among the different modules. The design manager could save a substantial

  19. Intelligent battery energy management and control for vehicle-to-grid via cloud computing network

    International Nuclear Information System (INIS)

    Khayyam, Hamid; Abawajy, Jemal; Javadi, Bahman; Goscinski, Andrzej; Stojcevski, Alex; Bab-Hadiashar, Alireza

    2013-01-01

    Highlights: • The intelligent battery energy management substantially reduces the interactions of PEV with parking lots. • The intelligent battery energy management improves the energy efficiency. • The intelligent battery energy management predicts the road load demand for vehicles. - Abstract: Plug-in Electric Vehicles (PEVs) provide new opportunities to reduce fuel consumption and exhaust emission. PEVs need to draw and store energy from an electrical grid to supply propulsive energy for the vehicle. As a result, it is important to know when PEVs batteries are available for charging and discharging. Furthermore, battery energy management and control is imperative for PEVs as the vehicle operation and even the safety of passengers depend on the battery system. Thus, scheduling the grid power electricity with parking lots would be needed for efficient charging and discharging of PEV batteries. This paper aims to propose a new intelligent battery energy management and control scheduling service charging that utilize Cloud computing networks. The proposed intelligent vehicle-to-grid scheduling service offers the computational scalability required to make decisions necessary to allow PEVs battery energy management systems to operate efficiently when the number of PEVs and charging devices are large. Experimental analyses of the proposed scheduling service as compared to a traditional scheduling service are conducted through simulations. The results show that the proposed intelligent battery energy management scheduling service substantially reduces the required number of interactions of PEV with parking lots and grid as well as predicting the load demand calculated in advance with regards to their limitations. Also it shows that the intelligent scheduling service charging using Cloud computing network is more efficient than the traditional scheduling service network for battery energy management and control

  20. Managing economic risks through simulation

    International Nuclear Information System (INIS)

    Griffin, B.J.; Eresman, R.K.

    1994-01-01

    Industrial operations are commonly managed in terms of such factors as raw material requirements, throughput, equipment reliability, and operator productivity. Simulation can be used to transform standard management performance measures into probabilistic measures which define the associated risks. These results provide valuable insight for effective management of economic risks. Case studies are presented using the Monte Carlo simulation method to demonstrate different applications of simulation techniques, various result formats, and their use for optimizing economic returns. In the first case study, design criteria for a large gas distribution system originally developed from worst-case demand estimates were modelled to provide a risk basis for decisions on alternative upgrading options. In the second, a commercial gas storage facility operation was modelled to develop economic marketing strategies balancing supply and demand requirements from multiple clients. 3 refs

  1. Branding and the Risk Management Imperative

    Directory of Open Access Journals (Sweden)

    Fournier Susan

    2018-05-01

    Full Text Available In an increasingly risky socioeconomic environment, management needs to proactively consider brand-related risks. To understand brands as tools for risk management, they need to understand four types of brand risk: brand reputation risk, brand dilution risk, brand cannibalization risk and brand stretch risk.

  2. Branding and the Risk Management Imperative

    OpenAIRE

    Fournier Susan; Srinivasan Shuba

    2018-01-01

    In an increasingly risky socioeconomic environment, management needs to proactively consider brand-related risks. To understand brands as tools for risk management, they need to understand four types of brand risk: brand reputation risk, brand dilution risk, brand cannibalization risk and brand stretch risk.

  3. Supply Chain Risk Management

    OpenAIRE

    Babková, Ivana

    2008-01-01

    Práce se zabývá problematikou řízení rizika v logistických řetězcích se zaměřením na jeden konkrétní článek řetězce. Definuje základní oblasti risk managementu, jeho hlavní aspekty a systém spojitého plánování. Zabývá se bezpečností práce v pojetí EU, České republiky a Velké Británie. V aplikační části uvádí řízení rizika v jednom článku logistického řetězce, skladu poskytovatele logistických služeb ve Velké Británii.

  4. Pathways from childhood intelligence and socioeconomic status to late-life cardiovascular disease risk.

    Science.gov (United States)

    Hagger-Johnson, Gareth; Mõttus, René; Craig, Leone C A; Starr, John M; Deary, Ian J

    2012-07-01

    C-reactive protein (CRP) is an acute-phase marker of systemic inflammation and considered an established risk marker for cardiovascular disease (CVD) in old age. Previous studies have suggested that low childhood intelligence, lower socioeconomic status (SES) in childhood or in later life, unhealthy behaviors, poor wellbeing, and high body mass index (BMI) are associated with inflammation. Life course models that simultaneously incorporate all these risk factors can explain how CVD risks accumulate over time, from childhood to old age. Using the data from 1,091 Scottish adults (Lothian Birth Cohort Study, 1936), a path model was constructed to predict CRP at age 70 from concurrent health behaviors, self-perceived quality of life, and BMI and adulthood SES as mediating variables, and from parental SES and childhood intelligence as distal risk factors. A well-fitting path model (CFI = .92, SRMR = .05) demonstrated significant indirect effects from childhood intelligence and parental social class to inflammation via BMI, health behaviors and quality of life (all ps intelligence, unhealthy behaviors, and higher BMI were also direct predictors of CRP. The life course model illustrated how CVD risks may accumulate over time, beginning in childhood and being both direct and transmitted indirectly via low adult SES, unhealthy behaviors, impaired quality of life, and high BMI. Knowledge on the childhood risk factors and their pathways to poor health can be used to identify high-risk individuals for more intensive and tailored behavior change interventions, and to develop effective public health policies.

  5. Big data based fraud risk management at Alibaba

    Directory of Open Access Journals (Sweden)

    Jidong Chen

    2015-12-01

    Full Text Available With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called AntBuckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top reasons and fraud connections.

  6. Risk management for industrial safety

    International Nuclear Information System (INIS)

    Novogno, A.

    1989-01-01

    The catastrophic accidents which have occurred in the last decade, in both developed and developing countries, have drawn the attention of decision-makers in the safety area to the urgent necessity to assess and manage risks from hazardous industrial activities which are concentrated in large industrialized areas. The aim of this paper is to review experience gained in conducting studies in the area of 'comparisons of risks in energy systems' and on the practical application of 'cost effectiveness of risk reduction analysis among different energy systems' (case studies). It is also the aim of the paper to discuss and propose a general framework for defining an 'integrated approach' to risk assessment and management in highly industrialized regions within a country. (author)

  7. Issues in Intelligence Production: Summary of Interviews with Canadian Managers of Intelligence Analysts

    Science.gov (United States)

    2010-12-01

    range of activities. Treverton and Gabbard (2008) described a pyramid of analytic tasks, which includes five levels of processing information from...Herman 1996, Johnston 2005, Treverton and Gabbard 2008). Stages in the cycle (e.g., collection and analysis) might overlap rather than being...clearly distinguished as implied by the model (Treverton and Gabbard 2008). Adjustments to the sequence and contents of stages in the intelligence cycle

  8. 12 CFR 917.3 - Risk management.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Risk management. 917.3 Section 917.3 Banks and Banking FEDERAL HOUSING FINANCE BOARD GOVERNANCE AND MANAGEMENT OF THE FEDERAL HOME LOAN BANKS POWERS AND RESPONSIBILITIES OF BANK BOARDS OF DIRECTORS AND SENIOR MANAGEMENT § 917.3 Risk management. (a) Risk management...

  9. Intelligent Human Machine Interface Design for Advanced Product Life Cycle Management Systems

    OpenAIRE

    Ahmed, Zeeshan

    2010-01-01

    Designing and implementing an intelligent and user friendly human machine interface for any kind of software or hardware oriented application is always be a challenging task for the designers and developers because it is very difficult to understand the psychology of the user, nature of the work and best suit of the environment. This research paper is basically about to propose an intelligent, flexible and user friendly machine interface for Product Life Cycle Management products or PDM Syste...

  10. Information Security Intelligence as a Basis for Modern Information Security Management

    Directory of Open Access Journals (Sweden)

    Natalia Georgievna Miloslavskaya

    2013-12-01

    Full Text Available There is a transfer from the simple Log Management Systems and SIEM systems to those supporting Information Security Intelligence (ISI. ISIe as Business Intelligence enables companies to make more informed business decisions through more effective processing of great volumes of available information concerning their IT infrastructure. The relevance of such a transition is defined. The main goal and advantage of ISI are highlighted. The basic functionality of computer-based systems for ISI are determined.

  11. Information Security Intelligence as a Basis for Modern Information Security Management

    OpenAIRE

    Natalia Georgievna Miloslavskaya; Aleksandr Ivanovich Tolstoy

    2013-01-01

    There is a transfer from the simple Log Management Systems and SIEM systems to those supporting Information Security Intelligence (ISI). ISIe as Business Intelligence enables companies to make more informed business decisions through more effective processing of great volumes of available information concerning their IT infrastructure. The relevance of such a transition is defined. The main goal and advantage of ISI are highlighted. The basic functionality of computer-based systems for ISI ar...

  12. Intelligent judgements over health risks in a spatial agent-based model.

    Science.gov (United States)

    Abdulkareem, Shaheen A; Augustijn, Ellen-Wien; Mustafa, Yaseen T; Filatova, Tatiana

    2018-03-20

    Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adapt their behavior toward a safer and more protective lifestyle. Computational science is instrumental in exploring patterns of disease spread emerging from many individual decisions and interactions among agents and their environment by means of agent-based models. Yet, current disease models rarely consider simulating dynamics in risk perception and its impact on the adaptive protective behavior. Social sciences offer insights into individual risk perception and corresponding protective actions, while machine learning provides algorithms and methods to capture these learning processes. This article presents an innovative approach to extend agent-based disease models by capturing behavioral aspects of decision-making in a risky context using machine learning techniques. We illustrate it with a case of cholera in Kumasi, Ghana, accounting for spatial and social risk factors that affect intelligent behavior and corresponding disease incidents. The results of computational experiments comparing intelligent with zero-intelligent representations of agents in a spatial disease agent-based model are discussed. We present a spatial disease agent-based model (ABM) with agents' behavior grounded in Protection Motivation Theory. Spatial and temporal patterns of disease diffusion among zero-intelligent agents are compared to those produced by a population of intelligent agents. Two Bayesian Networks (BNs) designed and coded using R and are further integrated with the NetLogo-based Cholera ABM. The first is a one-tier BN1 (only risk perception), the second is a two-tier BN2 (risk and coping behavior). We run three experiments (zero-intelligent agents, BN1 intelligence and BN2 intelligence) and report the results per experiment in terms of

  13. The Professionalization of Intelligence Cooperation

    DEFF Research Database (Denmark)

    Svendsen, Adam David Morgan

    "Providing an in-depth insight into the subject of intelligence cooperation (officially known as liason), this book explores the complexities of this process. Towards facilitating a general understanding of the professionalization of intelligence cooperation, Svendsen's analysis includes risk...... management and encourages the realisation of greater resilience. Svendsen discusses the controversial, mixed and uneven characterisations of the process of the professionalization of intelligence cooperation and argues for a degree of 'fashioning method out of mayhem' through greater operational...

  14. [Risk Assessment and Risk Management of Chemicals in China].

    Science.gov (United States)

    Wang, Tie-yu; Zhou, Yun-qiao; Li, Qi-feng; Lü, Yong-long

    2016-02-15

    Risk assessment and risk management have been increasingly approved as an effective approach for appropriate disposal and scientific management of chemicals. This study systematically analyzed the risk assessment methods of chemicals from three aspects including health risk, ecological risk and regional risk. Based on the current situation of classification and management towards chemicals in China, a specific framework of risk management on chemicals was proposed by selecting target chemicals, predominant industries and related stakeholders as the objects. The results of the present study will provide scientific support for improving risk assessment and reasonable management of chemicals in China.

  15. A view on risk management

    International Nuclear Information System (INIS)

    Joksimovich, V.

    1991-01-01

    The world at large has enjoyed the benefits of industrial technology for almost two centuries. The managers of industrial facilities as well as members of the public focused on the benefits and typically ignored or underestimated the inherent risks entailed in deployment of these technologies. Two examples will be given for the sake of illustration. In the chemical industry, the impacts of various chemicals on humans are insufficiently understood. In addition, it was not even known that some hazardous chemicals could be formed in the chemical reactions taking place in various chemical reactors. This is equivalent to not knowing that Cesium-iodide compound can be formed within nuclear fuel nor the impact it might have on humans if released, which is inconceivable in the nuclear industry. In the era of risk recognition, many industrial managers proclaimed that safety is everybody's business. The basic premise behind this was that since everyone is responsible, no one can be blamed for accidents. This is, however, shifting because both economics and litigation are now compelling industrial managers to consider risk in conjunction with the benefit. The government managers in many cases interpreted their charter to reap benefits first and pay the price of risks later; e.g., the case of nuclear weapons production facilities seriously contaminated by radioactive and other hazardous materials. Cost of clean-up was estimated at more than $100 billion. Of course, the authors have similar examples in many other industries, e.g., Superfund project of chemical waste sites. The challenge for the technologists is to maximize the benefit/risk ratio, keeping the risks, real or perceived, acceptably small. This brings us to the issue of acceptable risks, the topic of this paper

  16. Developing Risk Management as a Competitive Capability

    OpenAIRE

    Silva, E.; Wu, Y.; Ojiako, U.

    2013-01-01

    At the level of the firm, three major parameters are found to influence the ability of SMEs to develop risk management competencies; these are enterprise risk management, internal control, and risk culture.

  17. Business intelligence as a tool in the management academic

    Directory of Open Access Journals (Sweden)

    Juan Jose Camargo Vega

    2016-06-01

    Full Text Available This paper presents a study, analyze and evaluate characteristics of existing data in the academic community, in order to recommend a model to apply Business Intelligence. It starts from the assumption that knowing the effects on the academic community, if you have a corporate strategy to facilitate decision-making in educational institutions. The results are based on a three dimensional cube, which are combining strong to make decisions with the information made. Finally, we come to different conclusions enabling give sufficient grounds to recommend a model that Integrate Business Intelligence in the academic environment.

  18. Risk management at GPU Nuclear

    International Nuclear Information System (INIS)

    Long, R.L.

    1991-01-01

    This paper reports on GPU Nuclear. Among other goals, it established the independence of key safety functions as highlighted by the lessons learned from the accident. In particular, an independent Nuclear Assurance Division was established which include Quality Assurance, Training and Education, Emergency Preparedness, and Nuclear Safety Assessment. The latter consisted of corporate and site independent-safety-review groups. As the GPU Nuclear organization matured, a mid-1987 reorganization created an even more focused Planning and Nuclear Safety Division bringing together Nuclear Safety Assessment with Licensing and Regulatory Affairs and Risk Management. The Risk Management Group (RMG), which began its work in fall 1987, was formed to develop a framework for proactive identification, evaluation, and cost-effective reduction and management of risks of all types. The RMG set out to learn as much as possible about risks and their management in nuclear and other high-technology industries. This began with a thorough literature search. It progressed to interviews with individuals and organizations which have demonstrated innovative ideas, experience, and reputations for safe and reliable operation

  19. RISK MANAGEMENT USING PROJECT RECON

    Science.gov (United States)

    2016-11-28

    centralized database . • Project Recon (formerly Risk Recon) is designed to be used by all Program Management Offices, Integrated Project Teams and any...Create growth plans to proactively capture benefits • Customize reports to group opportunities by programmatic, technical, business, contracting, and

  20. Integrated Foreign Exchange Risk Management

    DEFF Research Database (Denmark)

    Aabo, Tom; Høg, Esben; Kuhn, Jochen

    Empirical research has focused on export as a proxy for the exchange rate exposure and the use of foreign exchange derivatives as the instrument to deal with this exposure. This empirical study applies an integrated foreign exchange risk management approach with a particular focus on the role...

  1. CEA: assessment of risk management 2011

    International Nuclear Information System (INIS)

    2012-06-01

    This report proposes an overview of CEA activities in the field of risk management in different areas: impact on the environment, installation safety, management of occupational risks (occupational health and safety), radiological protection of workers, transportation of hazardous materials, waste management, protection of sites, installations and heritage, management of emergency situations, management of law risks, controls and audits. It finally presents the risk management department

  2. PROJECT MANAGER SKILLS, RISK MANAGEMENT TOOLS

    Directory of Open Access Journals (Sweden)

    Vladut Iacob

    2013-12-01

    Full Text Available Although the projects are different from each other there are many common things that contribute to their success. Looked overall, the success of a project is the result of a multitude of factors. This person is considered the "engine" of the project. The man who makes the action set for the achievement of project objectives to be brought to an end. The project manager must have the technical knowledge and economic diverse. He should be able to choose a team and lead. You must be tenacious, combative, to know how to communicate both within the team and beyond. In a word, the project manager must have an impressive stock of knowledge, skills and abilities and appreciate as Peter Drucker, to "exist for the organization. To be its servant. Any management who forget this will only cause damage to the organization. "This study will focus on highlighting the skills of the project manager and their role in managing difficult situations or risk.

  3. Tank waste remediation system risk management plan

    International Nuclear Information System (INIS)

    Zimmerman, B.D.

    1998-01-01

    The purpose of the Tank Waste Remediation System (TWRS) Risk Management Plan is to describe a consistent approach to risk management such that TWRS Project risks are identified and managed to achieve TWRS Project success. The Risk Management Plan implements the requirements of the Tank Waste Remediation System Systems Engineering Management Plan in the area of risk management. Figure ES-1 shows the relationship of the TWRS Risk Management Plan to other major TWRS Project documents. As the figure indicates, the Risk Management Plan is a tool used to develop and control TWRS Project work. It provides guidance on how TWRS Project risks will be assessed, analyzed, and handled, and it specifies format and content for the risk management lists, which are a primary product of the risk management process. In many instances, the Risk Management Plan references the TWRS Risk Management Procedure, which provides more detailed discussion of many risk management activities. The TWRS Risk Management Plan describes an ongoing program within the TWRS Project. The Risk Management Plan also provides guidance in support of the TWRS Readiness To-Proceed (RTP) assessment package

  4. Reducing the risk, managing safety.

    Science.gov (United States)

    Aldridge, Peter

    2016-02-01

    Fire safety in healthcare premises has always been a challenge to those that discharge this duty. Statutory compliance should be a matter of course, but in an ever increasingly challenged NHS, even this is not a given. While the NHS is driven by managing very complex risk to deliver cutting edge healthcare, providers cannot be risk averse. Which risk, however, takes priority? Here Peter Aldridge, fire and corporate services manager at Leeds Teaching Hospitals NHS Trust, and Secretary to the National Association of Healthcare Fire Officers (NAHFO)--which will this month and next jointly stage fire safety seminars with IHEEM; see page 8--considers the key issues, with input from a fire officer at a leading mental health and community Trust.

  5. Risk Management Practices: The Ghanaian Firms' Perspective ...

    African Journals Online (AJOL)

    Using a quantitative approach the findings of the study are that Ghanaian firms understand risk and risk management. Additionally, operational, liquidity and credit risk are the most dominant risks experienced while risk identification and selection jointly determine risk management practices in Ghana. Based on the findings ...

  6. Risk Management of NASA Projects

    Science.gov (United States)

    Sarper, Hueseyin

    1997-01-01

    Various NASA Langley Research Center and other center projects were attempted for analysis to obtain historical data comparing pre-phase A study and the final outcome for each project. This attempt, however, was abandoned once it became clear that very little documentation was available. Next, extensive literature search was conducted on the role of risk and reliability concepts in project management. Probabilistic risk assessment (PRA) techniques are being used with increasing regularity both in and outside of NASA. The value and the usage of PRA techniques were reviewed for large projects. It was found that both civilian and military branches of the space industry have traditionally refrained from using PRA, which was developed and expanded by nuclear industry. Although much has changed with the end of the cold war and the Challenger disaster, it was found that ingrained anti-PRA culture is hard to stop. Examples of skepticism against the use of risk management and assessment techniques were found both in the literature and in conversations with some technical staff. Program and project managers need to be convinced that the applicability and use of risk management and risk assessment techniques is much broader than just in the traditional safety-related areas of application. The time has come to begin to uniformly apply these techniques. The whole idea of risk-based system can maximize the 'return on investment' that the public demands. Also, it would be very useful if all project documents of NASA Langley Research Center, pre-phase A through final report, are carefully stored in a central repository preferably in electronic format.

  7. Exploring the Relationship of Emotional Intelligence and Conflict Management Styles

    Science.gov (United States)

    Ellis, Andrea Claire

    2010-01-01

    A growing emphasis exists in higher education and corporate America on the importance of interpersonal skills, emotional intelligence, and ability to resolve conflict in the workforce. As MBA schools across the country seek to prepare students for prominent business careers, the concern is that the general graduate level curriculum does not…

  8. Knowing What We Knew: Intelligence Failures and Knowledge Management

    Science.gov (United States)

    2011-02-28

    2000, the CIA was watching Khalid al-Mihdhar in a Malaysia terrorism planning meeting, and on September 11, 2001, he helped crash an American Airlines...The intelligence franchise [organization] is based upon the business of information, not secrets, and its product is people, experts…not paper.”27

  9. Overview of the Hanford risk management plan

    International Nuclear Information System (INIS)

    Halverson, T.G.

    1998-01-01

    The Project Hanford Management Contract called for the enhancement of site-wide decision processes, and development of a Hanford Risk Management Plan to adopt or develop a risk management system for the Hanford Site. This Plan provides a consistent foundation for Site issues and addresses site-wide management of risks of all types. It supports the Department of Energy planning and sitewide decision making policy. Added to this requirement is a risk performance report to characterize the risk management accomplishments. This paper presents the development of risk management within the context of work planning and performance. Also discussed are four risk elements which add value to the context

  10. Risk Management for e-Business

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available In the new Internet economy, risk management plays a critical role to protect the organization and its ability to perform their business mission, not just its IT assets. Risk management is the process of identifying risk, assessing risk, and taking steps to reduce risk to an acceptable level. The risk management is an important component of a IT security program. Information and communications technology management and IT security are responsible for ensuring that technology risks are managed appropriately. These risks originate from the deployment and use of IT assets in various ways, such as configuring systems incorrectly or gaining access to restricted software.

  11. Risk Management Practices by Barbadian Banks

    Directory of Open Access Journals (Sweden)

    Anthony Wood

    2013-07-01

    The main findings of the paper are: risk managers perceive risk management as critical to their banks’ performance; the types of risks causing the greatest exposures are credit risk, operational risk, country/sovereign risk, interest rate risk and market risk; there was a high level of success with current risk management practices and these practices have evolved over time in line with the changing economic environment and regulatory updates. Overall, the findings suggest strongly that in light of the current depressed economic climate, banks operating in Barbados are indeed risk-focused or might we say “risk intelligent”.

  12. Tank waste remediation system risk management list

    International Nuclear Information System (INIS)

    Collard, L.B.

    1995-01-01

    The Tank Waste Remedation System (TWRS) Risk Management List and it's subset of critical risks, the Critical Risk Management List, provide a tool to senior RL and WHC management (Level-1 and -2) to manage programmatic risks that may significantly impact the TWRS program. The programmatic risks include cost, schedule, and performance risks. Performance risk includes technical risk, supportability risk (such as maintainability and availability), and external risk (i.e., beyond program control, for example, changes in regulations). The risk information includes a description, its impacts, as evaluation of the likelihood, consequences and risk value, possible mitigating actions, and responsible RL and WHC managers. The issues that typically form the basis for the risks are presented in a separate table and the affected functions are provided on the management lists

  13. Risk Management for Food Allergy

    DEFF Research Database (Denmark)

    Risk Management for Food Allergy is developed by a team of scientists and industry professionals who understand the importance of allergen risk assessment and presents practical, real-world guidance for food manufacturers. With more than 12 million Americans suffering from food allergies and little...... appropriate "safe" thresholds of ingredients, the food industry must take increasingly proactive steps to avoid direct or cross-contamination as well as ensuring that their products are appropriately labeled and identified for those at risk. This book covers a range of critical topics in this area, including...... indication of what is causing that number to continue to grow, food producers, packagers and distributors need to appropriately process, label and deliver their products to ensure the safety of customers with allergic conditions. By identifying risk factors during processing as well as determining...

  14. Artificial Intelligent Platform as Decision Tool for Asset Management, Operations and Maintenance.

    Science.gov (United States)

    2018-01-04

    An Artificial Intelligence (AI) system has been developed and implemented for water, wastewater and reuse plants to improve management of sensors, short and long term maintenance plans, asset and investment management plans. It is based on an integrated approach to capture data from different computer systems and files. It adds a layer of intelligence to the data. It serves as a repository of key current and future operations and maintenance conditions that a plant needs have knowledge of. With this information, it is able to simulate the configuration of processes and assets for those conditions to improve or optimize operations, maintenance and asset management, using the IViewOps (Intelligent View of Operations) model. Based on the optimization through model runs, it is able to create output files that can feed data to other systems and inform the staff regarding optimal solutions to the conditions experienced or anticipated in the future.

  15. 42 CFR 441.476 - Risk management.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 4 2010-10-01 2010-10-01 false Risk management. 441.476 Section 441.476 Public... Self-Directed Personal Assistance Services Program § 441.476 Risk management. (a) The State must... plan for how identified risks will be mitigated. (d) The State must ensure that the risk management...

  16. Incentivizing intelligent customer behavior in smart-grids: a risk-sharing tariff & optimal strategies

    NARCIS (Netherlands)

    G. Methenitis (Georgios); M. Kaisers (Michael); J.A. La Poutré (Han)

    2016-01-01

    textabstractCurrent electricity tariffs for retail rarely provide incentives for intelligent demand response of flexible customers. Such customers could otherwise contribute to balancing supply and demand in future smart grids. This paper proposes an innovative risk-sharing tariff to incentivize

  17. Probabilistic risk assessment as an aid to risk management

    International Nuclear Information System (INIS)

    Garrick, B.J.

    1982-01-01

    Probabilistic risk assessments are providing important insights into nuclear power plant safety. Their value is two-fold: first as a means of quantifying nuclear plant risk including contributors to risk, and second as an aid to risk management. A risk assessment provides an analytical plant model that can be the basis for performing meaningful decision analyses for controlling safety. It is the aspect of quantitative risk management that makes probabilistic risk assessment an important technical discipline of the future

  18. Intelligent home risk assessment systems and integration with biometric identification

    Science.gov (United States)

    Roper, William E.

    2003-08-01

    An overview is given of the Home of the 21st Century Laboratory. The laboratory is operated as a joint program with America-On-Line and George Washington University. The program is described with illustrations and discussion of the systems that are part of the laboratory. The concept of application for face recognition systems in the intelligent home of the future is presented and some initial approaches in using biometrics are shown. Issues of privacy and sharing of information within and outside the home are addressed. Issues include safety and security concerns vs. inappropriate observations of activities in and outside the home. Technology options currently available for application in the home are described and assessed.

  19. Intelligent Transport Systems in the Management of Road Transportation

    Science.gov (United States)

    Kalupová, Blanka; Hlavoň, Ivan

    2016-11-01

    Extension of European Union causes increase of free transfer of people and goods. At the same time they raised the problems associated with the transport, e.g. congestion and related accidents on roads, air traffic delays and more. To increase the efficiency and safety of transport, the European Commission supports the introduction of intelligent transport systems and services in all transport sectors. Implementation of intelligent transport systems and services in the road transport reduces accident frequency, increases the capacity of existing infrastructure and reduces congestions. Use of toll systems provides resources needed for the construction and operation of a new road network, improves public transport, cycling transport and walking transport, and also their multimodal integration with individual car transport.

  20. Considerations on Integrating Risk and Quality Management

    Directory of Open Access Journals (Sweden)

    Maria POPESCU

    2011-03-01

    Full Text Available This paper aims to highlight the links between risk management and quality management and to study the possibility of their integrated approach. The study reviews the evolution of risk approach within organizations and stresses the need to increase the effectiveness of this approach by incorporating risk management methodology in the quality management system. Starting from this idea, the authors present the current state of risk approach into quality management, basic rules of integrated quality-risk management and major difficulties which may arise in the implementation of integrated quality–risk systems.

  1. Managing risks and hazardous in industrial operations

    Energy Technology Data Exchange (ETDEWEB)

    Almaula, S.C. [Woodward-Clyde International, Oakland, CA (United States)

    1996-12-31

    The main objective of this paper is to demonstrate that it makes good business sense to identify risks and hazards of an operation and take appropriate steps to manage them effectively. Developing and implementing an effective risk and hazard management plan also contibutes to other industry requirements and standards. Development of a risk management system, key elements of a risk management plan, and hazards and risk analysis methods are outlined. Comparing potential risk to the cost of prevention is also discussed. It is estimated that the cost of developing and preparing the first risk management plan varies between $50,000 to $200,000. 3 refs., 2 figs., 1 tab.

  2. Trait Emotional Intelligence Is Related to Risk Taking when Adolescents Make Deliberative Decisions

    Directory of Open Access Journals (Sweden)

    Angelo Panno

    2016-08-01

    Full Text Available Most forms of risky behavior reach their peak during adolescence. A prominent line of research is exploring the relationship between people’s emotional self-efficacy and risk taking, but little is known about this relationship in the cognitive-deliberative domain among adolescents. The main aim of the present study consists in investigating whether trait EI (Emotional Intelligence is positively related to risk taking under predominantly cognitive-deliberative conditions among adolescents. Ninety-four adolescents played the cold version of the Columbia Card Task one month following an assessment of their trait EI. Results showed that trait EI is associated with risk taking under cognitive-deliberative conditions among adolescents. Moreover, the present research showed that trait EI is related to risk taking through the decision makers’ self-motivation. These results provide novel insights into research investigating the connections between emotional intelligence, decision science and adolescence research.

  3. Hanford Tanks Initiative risk management guide

    International Nuclear Information System (INIS)

    Schaus, P.S.

    1997-01-01

    This project-specific Risk Management Guide describes the general approach and process being used by the HTI Project to manage risk associated with execution of the HTI mission. It includes the initial identification of risk and the quantification of its likelihood and severity of its consequences. It further addresses the formulation of risk mitigation plans, periodic statusing of the Risk Management List, and risk closure

  4. 3rd International Workshop on Intelligent Data Analysis and Management (IDAM)

    CERN Document Server

    Wang, Leon; Hong, Tzung-Pei; Yang, Hsin-Chang; Ting, I-Hsien

    2013-01-01

    These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

  5. Intelligent Decision Support and Big Data for Logistics and Supply Chain Management

    DEFF Research Database (Denmark)

    Voss, Stefan; Sebastian, Hans-Jürgen; Pahl, Julia

    2017-01-01

    Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheur......Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics......, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years....

  6. Impact of adoption of yoga way of life on the emotional intelligence of managers

    Directory of Open Access Journals (Sweden)

    Hasmukh Adhia

    2010-03-01

    Full Text Available The popular perception that a high intelligence quotient (IQ is not necessarily a good predictor of professional and personal success has led to a growing interest in understanding the role of emotional intelligence (EI in improving the performance of business managers. This paper studies the impact of the yoga way of life on EI using data collected from 60 managers in a business enterprise and reports enhanced EI as a result of the practice of yoga. The results indicate the importance of yoga as an integral element in improving managerial performance in organisations and the need to further explore this construct in greater detail.

  7. The Effect of Moral Reasoning Level and Emotional Intelligence on Employment Ethics Assessment of Earnings Management

    Directory of Open Access Journals (Sweden)

    Dewita Puspawati

    2018-04-01

    Full Text Available The purpose of this study is to examine the influence of moral level reasoning and emotional intelligence on the assessment of earnings management ethics. The theory used is the theory of planned behavior. Respondents in this study are S1 Accounting Department Faculty of Economics and Business University of Muhammadiyah Surakarta. The samples used were 89 respondents with convenience sampling technique. The results showed that the moral level of reasoning affect the evaluation of earnings management ethics, while emotional intelligence does not affect the dependent variable.

  8. Intelligent Tutor with Emotion Recognition and Student Emotion Management for Math Performance

    Directory of Open Access Journals (Sweden)

    Mari­a Luci­a Barron Estrada

    2014-10-01

    Full Text Available This research presents the development, implementation, and testing of an Intelligent Tutoring System for math in third grade elementary students, it identifies and manages the emotional state of the student; it produces affective feedback for the student during the course that also it is part of a social network. Emotions are recognized via facial expressions by means of an artificial neural network. The social network and the intelligent tutoring system with affective management have been tested in public and private elementary schools with very satisfying results.

  9. A study of relationship between emotional intelligence and innovative work behavior of managers

    Directory of Open Access Journals (Sweden)

    Mohammad Reza Shojaei

    2014-07-01

    Full Text Available This paper studies the relationship between emotional intelligence and its components, self-awareness, self-management, social-awareness and relationship-management, with managers’ innovative work behavior. The research statistical population includes 100 managers of private bank branches in the city of Tehran selected with the random sampling method. The research type is descriptive-correlation. The tool for data aggregation is comprised of two questionnaires of emotional intelligence by Bradberry and Greaves (2006 [Bradberry, T., & Greaves, J. (2006. The emotional intelligence quick book: Everything you need to know to put your EQ to work. Simon and Schuster.] and innovative work behavior based on the studies of Janssen (2000 [Janssen, O. (2000. Job demands, perceptions of effort‐reward fairness and innovative work behaviour. Journal of Occupational and organizational psychology, 73(3, 287-302.]. The Pearson correlation coefficient and multiple regression analysis have been used for data analysis. The results indicated that there was a positive and significant relationship between emotional intelligence and its components with innovative work behavior of managers. In addition, regression analysis showed that the self-management variable had the highest effect in estimating the managers’ innovative work behavior followed by relationship-management, self-awareness and social-awareness.

  10. Managing IT Integration Risk in Acquisitions

    DEFF Research Database (Denmark)

    Henningsson, Stefan; Kettinger, William J.

    2016-01-01

    The article discusses a framework for evaluating risk of information technology (IT) integration in acquisitions. Topics include the use of the experience of serial acquirer Trelleborg AB to show the merits of the framework for managing the risk and to determine low-risk acquisitions......, the importance of managing IT integration risk, and various risk areas for acquisition IT integration....

  11. Risk management in microfinance institutions

    OpenAIRE

    Batin, Artyom

    2014-01-01

    In the following paper I have tried to find the correlation between type of ownership and effective risk management in the operations of microfinance institutions in India. The results found are consistent with the current findings of how the type of ownership does not impact both the financial or social performance of MFIs. Dataset of 72 MFIs was acquired from the Microfinance Information Exchange on MFIs and evaluated using an OLS regression. The results show that the type of ownership insi...

  12. A Distributed Intelligent Automated Demand Response Building Management System

    Energy Technology Data Exchange (ETDEWEB)

    Auslander, David [Univ. of California, Berkeley, CA (United States); Culler, David [Univ. of California, Berkeley, CA (United States); Wright, Paul [Univ. of California, Berkeley, CA (United States); Lu, Yan [Siemens Corporate Research Inc., Princeton, NJ (United States); Piette, Mary [Univ. of California, Berkeley, CA (United States)

    2013-03-31

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load

  13. Risk management in nuclear power social aspects

    International Nuclear Information System (INIS)

    Sappa, N.N.

    1996-01-01

    Problems connected with safety evaluation and risk management during operation of nuclear power installations are considered. Social aspects of risk assessment of enterprises with increased danger are discussed

  14. Strategic raw materials. Risk management

    International Nuclear Information System (INIS)

    Bertau, Martin; Matschullat, Joerg; Kausch, Peter

    2014-01-01

    This volume is divided into four chapters: (1) Raw material management, (2) Primary raw materials, (3) Secondary raw materials and recycling, (4). Processing and products. The topics for the chapter ''Raw material management'' are: Substitution of raw materials - framework conditions and implementation; Thales: Strategic raw materials; Time for cooperation between the EU and China in raw materials policy; Availability of elements for the semiconductor industry; Market price risks of raw material-intensive companies - identification and management. The topics on the second item ''Primary raw materials'' are: The supply of economic-critical raw materials - A search and analysis for causes; Lithium extraction from primary raw materials - state and perspectives; The global market of rare earths - A balancing act; Rare earth deposits in Namibia; New technologies in exploration and discovery - Focus on activities in Europe. The third chapter, ''Secondary Raw Materials and Recycling'', covered the topics: Technology metals - Systemic Requirements along the recycling chain; Integrated re-use of high-tech and greentech wastes; From the sewage sludge ash to the phosphorus fertilizer RecoPhos P38 in the stress field of waste, fertilizer and soil protection. In chapter 4. ''Processing and products'' are the topics: Treatment and processing of rare earth metals; Processing of mineral resources - opportunities and challenges; Consequences of modern germanium chemistry; Strategic resources - Risk management. A review and outlook with a pinch of fantasy.. [de

  15. Intelligent Power Management of hybrid Wind/ Fuel Cell/ Energy Storage Power Generation System

    OpenAIRE

    A. Hajizadeh; F. Hassanzadeh

    2013-01-01

    This paper presents an intelligent power management strategy for hybrid wind/ fuel cell/ energy storage power generation system. The dynamic models of wind turbine, fuel cell and energy storage have been used for simulation of hybrid power system. In order to design power flow control strategy, a fuzzy logic control has been implemented to manage the power between power sources. The optimal operation of the hybrid power system is a main goal of designing power management strategy. The hybrid ...

  16. Value at Risk models for Energy Risk Management

    OpenAIRE

    Novák, Martin

    2010-01-01

    The main focus of this thesis lies on description of Risk Management in context of Energy Trading. The paper will predominantly discuss Value at Risk and its modifications as a main overall indicator of Energy Risk.

  17. The New York High-Risk Project: social and general intelligence in children at risk for schizophrenia.

    Science.gov (United States)

    Ott, S L; Spinelli, S; Rock, D; Roberts, S; Amminger, G P; Erlenmeyer-Kimling, L

    1998-05-04

    Social deficits, as well as low performance on intelligence tests, are known early symptoms of schizophrenia. We studied whether impairment of social intelligence can be detected before the outbreak of the disorder. In the New York High-Risk Project, children at risk for schizophrenia (HRSz) or affective disorder (HRAff) and a normal control group (NC) were studied over the past 26 years. The children are now in mid-adulthood, with known psychiatric outcomes. Developmental and clinical data from childhood can now be related to adulthood diagnoses. We compared mean WISC (or WISC-R) and WAIS (or WAIS-R) scores from childhood and adolescence, and change of IQ, between the risk groups, as well as between the adulthood outcomes. We were specifically interested in the development of social intelligence (the Picture Arrangement and Comprehension subtests). We used logistic regression analyses to generate a model predicting adulthood schizophrenia. IQ at age 9,7 was lower in children with HRSz than with HRAff. Adulthood schizophrenia, compared with major depressive disorder and no psychiatric diagnosis could not be related conclusively to low IQ. This may be a result of the study design, since children with IQ below 70 or behavioral problems were not eligible as study subjects. There was no evidence of lower scores or more decline in social intelligence related to age or group membership (risk or outcome). Subtest-Scatter, a nondirectional measure of the differences between all subtests and Vocabulary, reflecting a lesser difference between crystallized and fluid intelligence, was identified as a significant predictor of adulthood schizophrenia, in the whole group as well as in the HRSz group alone.

  18. Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data.

    Science.gov (United States)

    Vemulapalli, Vijetha; Qu, Jiaqi; Garren, Jeonifer M; Rodrigues, Leonardo O; Kiebish, Michael A; Sarangarajan, Rangaprasad; Narain, Niven R; Akmaev, Viatcheslav R

    2016-11-01

    Given the availability of extensive digitized healthcare data from medical records, claims and prescription information, it is now possible to use hypothesis-free, data-driven approaches to mine medical databases for novel insight. The goal of this analysis was to demonstrate the use of artificial intelligence based methods such as Bayesian networks to open up opportunities for creation of new knowledge in management of chronic conditions. Hospital level Medicare claims data containing discharge numbers for most common diagnoses were analyzed in a hypothesis-free manner using Bayesian networks learning methodology. While many interactions identified between discharge rates of diagnoses using this data set are supported by current medical knowledge, a novel interaction linking asthma and renal failure was discovered. This interaction is non-obvious and had not been looked at by the research and clinical communities in epidemiological or clinical data. A plausible pharmacological explanation of this link is proposed together with a verification of the risk significance by conventional statistical analysis. Potential clinical and molecular pathways defining the relationship between commonly used asthma medications and renal disease are discussed. The study underscores the need for further epidemiological research to validate this novel hypothesis. Validation will lead to advancement in clinical treatment of asthma & bronchitis, thereby, improving patient outcomes and leading to long term cost savings. In summary, this study demonstrates that application of advanced artificial intelligence methods in healthcare has the potential to enhance the quality of care by discovering non-obvious, clinically relevant relationships and enabling timely care intervention. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  19. Knowledge structure representation and automated updates in intelligent information management systems

    Science.gov (United States)

    Corey, Stephen; Carnahan, Richard S., Jr.

    1990-01-01

    A continuing effort to apply rapid prototyping and Artificial Intelligence techniques to problems associated with projected Space Station-era information management systems is examined. In particular, timely updating of the various databases and knowledge structures within the proposed intelligent information management system (IIMS) is critical to support decision making processes. Because of the significantly large amounts of data entering the IIMS on a daily basis, information updates will need to be automatically performed with some systems requiring that data be incorporated and made available to users within a few hours. Meeting these demands depends first, on the design and implementation of information structures that are easily modified and expanded, and second, on the incorporation of intelligent automated update techniques that will allow meaningful information relationships to be established. Potential techniques are studied for developing such an automated update capability and IIMS update requirements are examined in light of results obtained from the IIMS prototyping effort.

  20. Risk management in product innovation projects

    NARCIS (Netherlands)

    Halman, J.I.M.; Keizer, J.A.

    1993-01-01

    In product innovation projects risk management has become increasingly important. Technological and commercial developments ask for effective and efficient product innovation. Systematic diagnosing and management of risks can help to make product innovation projects successful. In this paper a

  1. Drug utilization research and risk management

    NARCIS (Netherlands)

    Mazzaglia, Giampiero; Mol, Peter G. M.; Elseviers, Monique; Wettermark, Björn; Almarsdóttir, Anna Birna; Andersen, Morten; Benko, Ria; Bennie, Marion; Eriksson, Irene; Godman, Brian; Krska, Janet; Poluzzi, Elisabetta; Taxis, Katja; Vlahovic-Palcevski, Vera; Stichele, Robert Vander

    2016-01-01

    Good risk management requires continuous evaluation and improvement of planned activities. The evaluation impact of risk management activities requires robust study designs and carefully selected outcome measures. Key learnings and caveats from drug utilization research should be applied to the

  2. Operational Risk Management and Military Aviation Safety

    National Research Council Canada - National Science Library

    Ashley, Park

    1999-01-01

    .... The Army's Class A aviation mishap rate declined after it implemented risk management (RM) principles in 1987. This reduction caught the attention of Air Force leadership who have since stated that the application of operational risk management...

  3. An Intelligent Consumables Management System Development Framework based on Artificial Intelligence Techniques, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposed innovation, called the Management of consumables Adaptive Execution, SynchronizaTion, Replanning/rescheduling, Optimization system (MAESTRO), would...

  4. MANAGEMENT OPTIMISATION OF MASS CUSTOMISATION MANUFACTURING USING COMPUTATIONAL INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    Louwrens Butler

    2018-05-01

    Full Text Available Computational intelligence paradigms can be used for advanced manufacturing system optimisation. A static simulation model of an advanced manufacturing system was developed in order to simulate a manufacturing system. The purpose of this advanced manufacturing system was to mass-produce a customisable product range at a competitive cost. The aim of this study was to determine whether this new algorithm could produce a better performance than traditional optimisation methods. The algorithm produced a lower cost plan than that for a simulated annealing algorithm, and had a lower impact on the workforce.

  5. Applying predictive analytics to develop an intelligent risk detection application for healthcare contexts.

    Science.gov (United States)

    Moghimi, Fatemeh Hoda; Cheung, Michael; Wickramasinghe, Nilmini

    2013-01-01

    Healthcare is an information rich industry where successful outcomes require the processing of multi-spectral data and sound decision making. The exponential growth of data and big data issues coupled with a rapid increase of service demands in healthcare contexts today, requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Such a context is appropriate for the application of real time intelligent risk detection decision support systems using predictive analytic techniques such as data mining. To illustrate the power and potential of data science technologies in healthcare decision making scenarios, the use of an intelligent risk detection (IRD) model is proffered for the context of Congenital Heart Disease (CHD) in children, an area which requires complex high risk decisions that need to be made expeditiously and accurately in order to ensure successful healthcare outcomes.

  6. Tools and Methods for Risk Management in Multi-Site Engineering Projects

    Science.gov (United States)

    Zhou, Mingwei; Nemes, Laszlo; Reidsema, Carl; Ahmed, Ammar; Kayis, Berman

    In today's highly global business environment, engineering and manufacturing projects often involve two or more geographically dispersed units or departments, research centers or companies. This paper attempts to identify the requirements for risk management in a multi-site engineering project environment, and presents a review of the state-of-the-art tools and methods that can be used to manage risks in multi-site engineering projects. This leads to the development of a risk management roadmap, which will underpin the design and implementation of an intelligent risk mapping system.

  7. THEORETICAL BASIS FOR MANAGEMENT OF PERSONNEL RISKS

    OpenAIRE

    Haliashova, Katsiaryna

    2017-01-01

    Necessity of personnel risks management is based on research results. The authors' approaches to the determination of personnel risks and to their management have been explored. The author's definition of the concept of "personnel risks" is proposed. A classification of personnel risks is developed depending on the stage of origin and the tasks of the personnel policy, as well as the methods of management personnel risks in the organization. The article presents a methodical approach to perso...

  8. 12 CFR 932.1 - Risk management.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Risk management. 932.1 Section 932.1 Banks and Banking FEDERAL HOUSING FINANCE BOARD FEDERAL HOME LOAN BANK RISK MANAGEMENT AND CAPITAL STANDARDS FEDERAL HOME LOAN BANK CAPITAL REQUIREMENTS § 932.1 Risk management. Before its new capital plan may take...

  9. Study of International Standards of Risk Management

    Directory of Open Access Journals (Sweden)

    Dykan Volodymyr L.

    2014-01-01

    Full Text Available The goal of the article lies in the study of existing international standards of risk management, an important factor of improvement of risk management in domestic corporations and enterprises and development of recommendations on application of international standards in Ukraine, in particular, within the framework of building corporate systems of risk management. The conducted study shows that approaches on organisation of the process of risk management, used in standards of risk management, are of general character and differ with the degree of detailing. Their undoubted value in development of risk management in Ukraine is identification of a general direction of building corporate systems of risk management in practice. The said approaches at the national and corporate levels of standardisation in Ukraine within the framework of building corporate systems of risk management would allow improvement of risk management in corporations and enterprises. The prospect of further studies of domestic specialists in the field of risk management is development of the domestic standard of risk management with consideration of modern domestic specific features of development of risk management in Ukraine and leading foreign experience.

  10. Construction Management Risk System (CMRS for Construction Management (CM Firms

    Directory of Open Access Journals (Sweden)

    Kyungmo Park

    2017-02-01

    Full Text Available After the global financial crisis of 2008, the need for risk management arose because it was necessary to minimize the losses in construction management (CM firms. This was caused by a decreased amount of orders in the Korean CM market, which intensified order competition between companies. However, research results revealed that risks were not being systematically managed owing to the absence of risk management systems. Thus, it was concluded that it was necessary to develop standard operating systems and implement risk management systems in order to manage risks effectively. Therefore, the purpose of this study was to develop a construction risk management system (CRMS for systematically managing risks. For this purpose, the field operation managers of CM firms were interviewed and surveyed in order to define risk factors. Upon this, a risk assessment priority analysis was performed. Finally, a risk management system that comprised seven modules and 20 sub-modules and was capable of responding systematically to risks was proposed. Furthermore, the effectiveness of this system was verified through on-site inspection. This system allows early response to risks, accountability verification and immediate response to legal disputes with clients by managing risk records.

  11. An approach to efficient mobility management in intelligent networks

    Science.gov (United States)

    Murthy, K. M. S.

    1995-01-01

    Providing personal communication systems supporting full mobility require intelligent networks for tracking mobile users and facilitating outgoing and incoming calls over different physical and network environments. In realizing the intelligent network functionalities, databases play a major role. Currently proposed network architectures envision using the SS7-based signaling network for linking these DB's and also for interconnecting DB's with switches. If the network has to support ubiquitous, seamless mobile services, then it has to support additionally mobile application parts, viz., mobile origination calls, mobile destination calls, mobile location updates and inter-switch handovers. These functions will generate significant amount of data and require them to be transferred between databases (HLR, VLR) and switches (MSC's) very efficiently. In the future, the users (fixed or mobile) may use and communicate with sophisticated CPE's (e.g. multimedia, multipoint and multisession calls) which may require complex signaling functions. This will generate volumness service handling data and require efficient transfer of these message between databases and switches. Consequently, the network providers would be able to add new services and capabilities to their networks incrementally, quickly and cost-effectively.

  12. Energy efficiency analysis considering the use of an intelligent systems management in a smart home

    OpenAIRE

    Morais, H.; Fernandes, Filipe; Faria, Pedro; Vale, Zita

    2012-01-01

    In this abstract is presented an energy management system included in a SCADA system existent in a intelligent home. The system control the home energy resources according to the players definitions (electricity consumption and comfort levels), the electricity prices variation in real time mode and the DR events proposed by the aggregators.

  13. A Business Intelligence Framework for Sustainability Information Management in Higher Education

    Science.gov (United States)

    Scholtz, Brenda; Calitz, Andre; Haupt, Ross

    2018-01-01

    Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

  14. The intelligent clinical laboratory as a tool to increase cancer care management productivity.

    Science.gov (United States)

    Mohammadzadeh, Niloofar; Safdari, Reza

    2014-01-01

    Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

  15. Effective Stress Management: A Model of Emotional Intelligence, Self-Leadership, and Student Stress Coping

    Science.gov (United States)

    Houghton, Jeffery D.; Wu, Jinpei; Godwin, Jeffrey L.; Neck, Christopher P.; Manz, Charles C.

    2012-01-01

    This article develops and presents a model of the relationships among emotional intelligence, self-leadership, and stress coping among management students. In short, the authors' model suggests that effective emotion regulation and self-leadership, as mediated through positive affect and self-efficacy, has the potential to facilitate stress coping…

  16. Development of funding project risk management tools.

    Science.gov (United States)

    2013-11-01

    Funding project risk management is a process for identifying, assessing, and prioritizing project funding risks. To plan to : minimize or eliminate the impact of negative events, one must identify what projects have higher risk to respond to potentia...

  17. Risk management and audit | IDRC - International Development ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    ... a well defined strategic and program framework and sound management processes; and ... A Risk Management Committee supports and monitors the Centre's ... placed on our highly qualified staff in our management of human resources.

  18. Managing risk with renewable resources

    International Nuclear Information System (INIS)

    Brower, M.C.; Bernow, S.; Duckworth, M.; Spinney, P.; Bell, K.

    1997-01-01

    One approach to managing risk is for a utility company to invest in diverse power sources such as wind power plants. Since wind plants consume no fuel, can be built in relatively small increments with short construction lead times, and generate no pollutants, it is often said that they offer significant protection from risks associated with conventional fossil-fuel power plants. With assistance from Convergence Research, Charles River Associates, and the Tellus Institute, the authors tested this hypothesis by conducting an in-depth analysis of the risk implications of a decision to build a 1,600 MW wind power plant instead of a 400 MW gas-fired combined cycle plant. (The two plants were assumed to have equal firm capacity.) The case study utility was Texas Utilities Electric, a very large investor-owned company serving an area with substantial, high-quality wind resources. The uncertain inputs included fuel prices, environmental regulations (specifically, CO 2 and air pollution controls), wind plant output, conventional plant availability, and load growth. Two different market scenarios were examined: traditional regulation and an unregulated wholesale market characterized either by a power pool or fixed-price contracts of varying duration. Conclusions are striking: under traditional regulation, wind energy provides a net present-value risk-reduction benefit of $3.4 to $7.8/MWh

  19. Managing risks: Seveso and Harrisburg

    International Nuclear Information System (INIS)

    Conrads-Herzog, A.; Krebsbach-Gnath, C.

    1980-01-01

    The publications dealing with the technical, organisation-relevant, and social preconditions for risk strategies rely on second-hand information, i.e. the conclusions which are drawn from the production accident in Seveso and the TMI-accident. A comparison results in common facts as well as in fundamental differences. In contrast to the authorities in Italy the authorities in the United States intervened more rapidly; the management of necessary measures was taken over by the authorities and very good information was given. (DG) [de

  20. Associations between emotional intelligence, depression and suicide risk in nursing students.

    Science.gov (United States)

    Aradilla-Herrero, Amor; Tomás-Sábado, Joaquín; Gómez-Benito, Juana

    2014-04-01

    The most important factor which predisposes young people to suicide is depression, although protective factors such as self-esteem, emotional adaptation and social support may reduce the probability of suicidal ideation and suicide attempts. Several studies have indicated an elevated risk of suicide for health-related professions. Little is known, however, about the relationship between perceived emotional intelligence and suicide risk among nursing students. The main goals were to determine the prevalence of suicide risk in a sample of nursing students, to examine the relationship between suicide risk and perceived emotional intelligence, depression, trait anxiety and self-esteem, and to identify any gender differences in relation to these variables. Cross-sectional study of nursing students (n=93) who completed self-report measures of perceived emotional intelligence (Trait Meta-Mood Scale, which evaluates three dimensions: emotional attention, clarity and repair), suicide risk (Plutchik Suicide Risk Scale), self-esteem (Rosenberg Self-esteem Scale), depression (Zung Self-Rating Depression Scale) and anxiety (Trait scale of the State-Trait Anxiety Inventory). Linear regression analysis confirmed that depression and emotional attention are significant predictors of suicidal ideation. Moreover, suicide risk showed a significant negative association with self-esteem and with emotional clarity and repair. Gender differences were only observed in relation to depression, on which women scored significantly higher. Overall, 14% of the students were considered to present a substantial suicide risk. The findings suggest that interventions to prevent suicidal ideation among nursing students should include strategies to detect mood disorders (especially depression) and to improve emotional coping skills. In line with previous research the results indicate that high scores on emotional attention are linked to heightened emotional susceptibility and an increased risk of

  1. THE ROLE OF BUSINESS INTELLIGENCE IN BUSINESS PERFORMANCE MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Babeanu Delia

    2009-05-01

    Full Text Available Business performance management (BPM is a key business initiative that enables companies to align strategic and operational objectives with business activities in order to fully manage performance through better informed decision making and action. Effec

  2. Intelligent energy management control of vehicle air conditioning system coupled with engine

    International Nuclear Information System (INIS)

    Khayyam, Hamid; Abawajy, Jemal; Jazar, Reza N.

    2012-01-01

    Vehicle Air Conditioning (AC) systems consist of an engine powered compressor activated by an electrical clutch. The AC system imposes an extra load to the vehicle's engine increasing the vehicle fuel consumption and emissions. Energy management control of the vehicle air conditioning is a nonlinear dynamic system, influenced by uncertain disturbances. In addition, the vehicle energy management control system interacts with different complex systems, such as engine, air conditioning system, environment, and driver, to deliver fuel consumption improvements. In this paper, we describe the energy management control of vehicle AC system coupled with vehicle engine through an intelligent control design. The Intelligent Energy Management Control (IEMC) system presented in this paper includes an intelligent algorithm which uses five exterior units and three integrated fuzzy controllers to produce desirable internal temperature and air quality, improved fuel consumption, low emission, and smooth driving. The three fuzzy controllers include: (i) a fuzzy cruise controller to adapt vehicle cruise speed via prediction of the road ahead using a Look-Ahead system, (ii) a fuzzy air conditioning controller to produce desirable temperature and air quality inside vehicle cabin room via a road information system, and (iii) a fuzzy engine controller to generate the required engine torque to move the vehicle smoothly on the road. We optimised the integrated operation of the air conditioning and the engine under various driving patterns and performed three simulations. Results show that the proposed IEMC system developed based on Fuzzy Air Conditioning Controller with Look-Ahead (FAC-LA) method is a more efficient controller for vehicle air conditioning system than the previously developed Coordinated Energy Management Systems (CEMS). - Highlights: ► AC interacts: vehicle, environment, driver components, and the interrelationships between them. ► Intelligent AC algorithm which uses

  3. Intelligence quotient discrepancy indicates levels of motor competence in preschool children at risk for developmental delays

    Directory of Open Access Journals (Sweden)

    Yu TY

    2016-02-01

    Full Text Available Tzu-Ying Yu,1 Kuan-Lin Chen,2,3 Willy Chou,4,5 Shu-Han Yang,4 Sheng-Chun Kung,4 Ya-Chen Lee,2 Li-Chen Tung4,6,7 1Department of Occupational Therapy, College of Medicine, I-Shou University, Kaohsiung, 2Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, 3Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 4Department of Physical Medicine and Rehabilitation, Chi-Mei Medical Center, Tainan, 5Department of Recreation and Health Care Management, Cha Nan University of Pharmacy and Science, Tainan, 6School of Medicine, Kaohsiung Medical University, Kaohsiung, 7School of Medicine, Chung Shan Medical University, Taichung, Taiwan Purpose: This study aimed to establish 1 whether a group difference exists in the motor competence of preschool children at risk for developmental delays with intelligence quotient discrepancy (IQD; refers to difference between verbal intelligence quotient [VIQ] and performance intelligence quotient [PIQ] and 2 whether an association exists between IQD and motor competence.Methods: Children’s motor competence and IQD were determined with the motor subtests of the Comprehensive Developmental Inventory for Infants and Toddlers and Wechsler Preschool and Primary Scale of Intelligence™ – Fourth Edition. A total of 291 children were included in three groups: NON-IQD (n=213; IQD within 1 standard deviation [SD], VIQ>PIQ (n=39; VIQ>PIQ greater than 1 SD, and PIQ>VIQ (n=39; PIQ>VIQ greater than 1 SD.Results: The results of one-way analysis of variance indicated significant differences among the subgroups for the “Gross and fine motor” subdomains of the Comprehensive Developmental Inventory for Infants and Toddlers, especially on the subtests of “body-movement coordination” (F=3.87, P<0.05 and “visual-motor coordination” (F=6.90, P<0.05. Motor competence was significantly

  4. HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management.

    OpenAIRE

    Rojas Barahona , Lina Maria; Quaglini , Silvana; Stefanelli , Mario

    2009-01-01

    International audience; The prospective home-care management will probably of- fer intelligent conversational assistants for supporting patients at home through natural language interfaces. Homecare assistance in natural lan- guage, HomeNL, is a proof-of-concept dialogue system for the manage- ment of patients with hypertension. It follows up a conversation with a patient in which the patient is able to take the initiative. HomeNL pro- cesses natural language, makes an internal representation...

  5. Managing project risks and uncertainties

    Directory of Open Access Journals (Sweden)

    Mike Mentis

    2015-01-01

    Full Text Available This article considers threats to a project slipping on budget, schedule and fit-for-purpose. Threat is used here as the collective for risks (quantifiable bad things that can happen and uncertainties (poorly or not quantifiable bad possible events. Based on experience with projects in developing countries this review considers that (a project slippage is due to uncertainties rather than risks, (b while eventuation of some bad things is beyond control, managed execution and oversight are still the primary means to keeping within budget, on time and fit-for-purpose, (c improving project delivery is less about bigger and more complex and more about coordinated focus, effectiveness and developing thought-out heuristics, and (d projects take longer and cost more partly because threat identification is inaccurate, the scope of identified threats is too narrow, and the threat assessment product is not integrated into overall project decision-making and execution. Almost by definition, what is poorly known is likely to cause problems. Yet it is not just the unquantifiability and intangibility of uncertainties causing project slippage, but that they are insufficiently taken into account in project planning and execution that cause budget and time overruns. Improving project performance requires purpose-driven and managed deployment of scarce seasoned professionals. This can be aided with independent oversight by deeply experienced panelists who contribute technical insights and can potentially show that diligence is seen to be done.

  6. Enterprise Content Management Implementation and Risk

    Directory of Open Access Journals (Sweden)

    Jaroslava Klegová

    2015-01-01

    Full Text Available Enterprise Content Management (ECM solutions are commonly used in many areas such as document management, record management, digital asset management, etc. Key features of ECM systems are capturing, indexing, preserving and retrieving of digital information. The state-of-the- art ECM solution can help revolutionize document management and further automated business processes which can lead to better decisions and competitive advantage. Risk management can reduce project failure and that is why controlling risk in ECM implementation projects is considered to be a major contributor to project success. To manage software risk, the first step is to identify a list of ECM projects’ risks. The present paper provides an overview of ECM implementation risks and contains findings from a small survey on experience of ECM implementation and risk in Czech enterprises. Risk of implementation in the public sector is discussed more deeply with case study examples.

  7. Risk management and energy systems

    International Nuclear Information System (INIS)

    Carlevaro, F.; Romerio, F.

    1992-01-01

    In five sessions the following topics were dealt with: risk problems, risk analysis and evaluation tools, risks in industrial societies, risks of energy production, technological risks, ethics and political-social consensus. figs., tabs., refs

  8. PERFORMANCE IN INTERNAL CONTROL AND RISK MANAGEMENT

    Directory of Open Access Journals (Sweden)

    JELER (POPA IOANA

    2017-06-01

    Full Text Available The purpose of this article is to highlight the importance of internal control and risk management. In practice, economic entities meet a variety of risks that have the origins from the internal environment or the external one. Although there are different of views on addressing the concept of risk - threats or opportunities, event or action, accordingly uncertain, proposed by specialists in risk management in this article we try to present these issues and identify techniques to counter risks occurrence. In this article we present also means managing risk and why needs to be implemented at institutional level a risk management. The paper concludes by highlight the role of efficient risk management in the company’s management and company's activities.

  9. Calysto: Risk Management for Commercial Manned Spaceflight

    Science.gov (United States)

    Dillaman, Gary

    2012-01-01

    The Calysto: Risk Management for Commercial Manned Spaceflight study analyzes risk management in large enterprises and how to effectively communicate risks across organizations. The Calysto Risk Management tool developed by NASA's Kennedy Space Center's SharePoint team is used and referenced throughout the study. Calysto is a web-base tool built on Microsoft's SharePoint platform. The risk management process at NASA is examined and incorporated in the study. Using risk management standards from industry and specific organizations at the Kennedy Space Center, three methods of communicating and elevating risk are examined. Each method describes details of the effectiveness and plausibility of using the method in the Calysto Risk Management Tool. At the end of the study suggestions are made for future renditions of Calysto.

  10. Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids

    Directory of Open Access Journals (Sweden)

    Dong-Jun Won

    2013-07-01

    Full Text Available Microgrids are autonomous low-voltage power distribution systems that contain multiple distributed energy resources (DERs and smart loads that can provide power system operation flexibility. To effectively control and coordinate multiple DERs and loads of microgrids, this paper proposes a distributed intelligent management system that employs a multi-agent-based control system so that delicate decision-making functions can be distributed to local intelligent agents. This paper presents the development of a hardware-in-the-loop simulation (HILS system for distributed intelligent management system for microgrids and its promising application to an emergency demand response program. In the developed HILS system, intelligent agents are developed using microcontrollers and ZigBee wireless communication technology. Power system dynamic models are implemented in real-time simulation environments using the Opal-RT system. This paper presents key features of the data communication and management schemes based on multi-agent concepts. The performance of the developed system is tested for emergency demand response program applications.

  11. A Novel Architecture of Metadata Management System Based on Intelligent Cache

    Institute of Scientific and Technical Information of China (English)

    SONG Baoyan; ZHAO Hongwei; WANG Yan; GAO Nan; XU Jin

    2006-01-01

    This paper introduces a novel architecture of metadata management system based on intelligent cache called Metadata Intelligent Cache Controller (MICC). By using an intelligent cache to control the metadata system, MICC can deal with different scenarios such as splitting and merging of queries into sub-queries for available metadata sets in local, in order to reduce access time of remote queries. Application can find results patially from local cache and the remaining portion of the metadata that can be fetched from remote locations. Using the existing metadata, it can not only enhance the fault tolerance and load balancing of system effectively, but also improve the efficiency of access while ensuring the access quality.

  12. Commercializing fuel cells: managing risks

    Science.gov (United States)

    Bos, Peter B.

    Commercialization of fuel cells, like any other product, entails both financial and technical risks. Most of the fuel cell literature has focussed upon technical risks, however, the most significant risks during commercialization may well be associated with the financial funding requirements of this process. Successful commercialization requires an integrated management of these risks. Like any developing technology, fuel cells face the typical 'Catch-22' of commercialization: "to enter the market, the production costs must come down, however, to lower these costs, the cumulative production must be greatly increased, i.e. significant market penetration must occur". Unless explicit steps are taken to address this dilemma, fuel cell commercialization will remain slow and require large subsidies for market entry. To successfully address this commercialization dilemma, it is necessary to follow a market-driven commercialization strategy that identifies high-value entry markets while minimizing the financial and technical risks of market entry. The financial and technical risks of fuel cell commercialization are minimized, both for vendors and end-users, with the initial market entry of small-scale systems into high-value stationary applications. Small-scale systems, in the order of 1-40 kW, benefit from economies of production — as opposed to economies to scale — to attain rapid cost reductions from production learning and continuous technological innovation. These capital costs reductions will accelerate their commercialization through market pull as the fuel cell systems become progressively more viable, starting with various high-value stationary and, eventually, for high-volume mobile applications. To facilitate market penetration via market pull, fuel cell systems must meet market-derived economic and technical specifications and be compatible with existing market and fuels infrastructures. Compatibility with the fuels infrastructure is facilitated by a

  13. Managing Risks in Dry Port Operations

    OpenAIRE

    Ciortescu Cezar-Gabriel; Pãvãla?cu Narcis Sebastian

    2012-01-01

    The purpose of this paper is to have an in-depth look into the phenomenon of risk assessment and risk management strategies in managing dry port operations as an integrated part into international containerized freight trade. The fact that world crises take the form of disruptions, bankruptcies, breakdowns, macroeconomic and political changes, and disasters leads to higher risks and makes risk management more and more difficult. This paper aims to discuss the theory behind the dry port concep...

  14. BEHAVIOURAL INSIGHTS INTO SUPPLY CHAIN RISK MANAGEMENT

    OpenAIRE

    Alexandra-Codruta Popescu (Bîzoi); Cristian-Gabriel Bîzoi

    2015-01-01

    Literature has focused largely on the field of supply chain risk management. Numerous risks occur within supply chain management. Until lately, behavioural risks (implying large amount of losses) have been neglected and considered not relevant. In this paper we provide an analysis of the importance of including behavioural research in logistics and supply chain risk management, what has been written so far and potential future research directions. Until now, literature on logistics and supply...

  15. Probability concepts in quality risk management.

    Science.gov (United States)

    Claycamp, H Gregg

    2012-01-01

    Essentially any concept of risk is built on fundamental concepts of chance, likelihood, or probability. Although risk is generally a probability of loss of something of value, given that a risk-generating event will occur or has occurred, it is ironic that the quality risk management literature and guidelines on quality risk management tools are relatively silent on the meaning and uses of "probability." The probability concept is typically applied by risk managers as a combination of frequency-based calculation and a "degree of belief" meaning of probability. Probability as a concept that is crucial for understanding and managing risk is discussed through examples from the most general, scenario-defining and ranking tools that use probability implicitly to more specific probabilistic tools in risk management. A rich history of probability in risk management applied to other fields suggests that high-quality risk management decisions benefit from the implementation of more thoughtful probability concepts in both risk modeling and risk management. Essentially any concept of risk is built on fundamental concepts of chance, likelihood, or probability. Although "risk" generally describes a probability of loss of something of value, given that a risk-generating event will occur or has occurred, it is ironic that the quality risk management literature and guidelines on quality risk management methodologies and respective tools focus on managing severity but are relatively silent on the in-depth meaning and uses of "probability." Pharmaceutical manufacturers are expanding their use of quality risk management to identify and manage risks to the patient that might occur in phases of the pharmaceutical life cycle from drug development to manufacture, marketing to product discontinuation. A probability concept is typically applied by risk managers as a combination of data-based measures of probability and a subjective "degree of belief" meaning of probability. Probability as

  16. Risk management frameworks for human health and environmental risks.

    Science.gov (United States)

    Jardine, Cindy; Hrudey, Steve; Shortreed, John; Craig, Lorraine; Krewski, Daniel; Furgal, Chris; McColl, Stephen

    2003-01-01

    A comprehensive analytical review of the risk assessment, risk management, and risk communication approaches currently being undertaken by key national, provincial/state, territorial, and international agencies was conducted. The information acquired for review was used to identify the differences, commonalities, strengths, and weaknesses among the various approaches, and to identify elements that should be included in an effective, current, and comprehensive approach applicable to environmental, human health and occupational health risks. More than 80 agencies, organizations, and advisory councils, encompassing more than 100 risk documents, were examined during the period from February 2000 until November 2002. An overview was made of the most important general frameworks for risk assessment, risk management, and risk communication for human health and ecological risk, and for occupational health risk. In addition, frameworks for specific applications were reviewed and summarized, including those for (1)contaminated sites; (2) northern contaminants; (3) priority substances; (4) standards development; (5) food safety; (6) medical devices; (7) prescription drug use; (8) emergency response; (9) transportation; (10) risk communication. Twelve frameworks were selected for more extensive review on the basis of representation of the areas of human health, ecological, and occupational health risk; relevance to Canadian risk management needs; representation of comprehensive and well-defined approaches; generalizability with their risk areas; representation of "state of the art" in Canada, the United States, and/or internationally; and extent of usage of potential usage within Canada. These 12 frameworks were: 1. Framework for Environmental Health Risk Management (US Presidential/Congressional Commission on Risk Assessment and Risk Management, 1997). 2. Health Risk Determination: The Challenge of Health Protection (Health and Welfare Canada, 1990). 3. Health Canada Decision

  17. Credit Risk Evaluation : Modeling - Analysis - Management

    OpenAIRE

    Wehrspohn, Uwe

    2002-01-01

    An analysis and further development of the building blocks of modern credit risk management: -Definitions of default -Estimation of default probabilities -Exposures -Recovery Rates -Pricing -Concepts of portfolio dependence -Time horizons for risk calculations -Quantification of portfolio risk -Estimation of risk measures -Portfolio analysis and portfolio improvement -Evaluation and comparison of credit risk models -Analytic portfolio loss distributions The thesis contributes to the evaluatio...

  18. Study of Intelligent Secure Chemical Inventory Management System

    Science.gov (United States)

    Shukran, Mohd Afizi Mohd; Naim Abdullah, Muhammad; Nazri Ismail, Mohd; Maskat, Kamaruzaman; Isa, Mohd Rizal Mohd; Shahfee Ishak, Muhammad; Adib Khairuddin, Muhamad

    2017-08-01

    Chemical inventory management system has been experiencing a new revolution from traditional inventory system which is manual to an automated inventory management system. In this paper, some review of the classic and modern approaches to chemical inventory management system has been discussed. This paper also describe about both type of inventory management. After a comparative analysis of the traditional method and automated method, it can be said that both methods have some distinctive characteristics. Moreover, the automated inventory management method has higher accuracy of calculation because the calculations are handled by software, eliminating possible errors and saving time. The automated inventory system also allows users and administrators to track the availability, location and consumption of chemicals. The study of this paper can provide forceful review analysis support for the chemical inventory management related research.

  19. Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

    Directory of Open Access Journals (Sweden)

    Hui Chen

    2014-01-01

    Full Text Available Metabolic syndrome is worldwide public health problem and is a serious threat to people's health and lives. Understanding the relationship between metabolic syndrome and the physical symptoms is a difficult and challenging task, and few studies have been performed in this field. It is important to classify adults who are at high risk of metabolic syndrome without having to use a biochemical index and, likewise, it is important to develop technology that has a high economic rate of return to simplify the complexity of this detection. In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs; this artificial intelligence model achieved more powerful capacity for classification compared to the PCLR (principal component logistic regression model. A case study was performed based on the physical signs data, without using a biochemical index, that was collected from the staff of Lanzhou Grid Company in Gansu province of China. The results show that the developed artificial intelligence model is an effective classification system for identifying individuals at high risk of metabolic syndrome.

  20. RISK MANAGEMENT OF GERMAN FRUIT PRODUCERS

    Directory of Open Access Journals (Sweden)

    Annkatrin PORSCH

    2018-03-01

    Full Text Available Horticultural farms in Germany face substantial business risks. However, fruit farms often struggle to implement appropriate risk management processes, and the risk management literature widely has ignored this farm type. The aim of the study was to improve the assessment of risks by farmers and the choice of suitable risk management instruments. Therefore, a risk management process based on subjective probabilities and suitable for small and medium-sized farms was developed, considering the specific needs of family run businesses. An online survey was conducted to achieve a comprehensive view of the risk perception and risk management practices of German fruit producers. Price and production risks are the most relevant risk categories for fruit farmers. However, among single risk sources, those in the people risk category were seen as the most important. Results show significant interactions among risk categories and a significant correlation between loss experience and the rating of risk categories. The assumption that risk averse farmers generally rate risks higher than risk neutral or risk seeking farmers cannot be confirmed. Diversification seems to be the most important risk management instrument for many fruit producers, especially diversification of marketing channels, farm income, and production activities. Further research should focus on the apparent inconsistency between the satisfaction with instruments reported by farmers and the actual implementation of many of them (e.g., hail insurance and anti-hail net. Furthermore, there is a need for research, to develop decision models considering the interactions of risks and risk management instruments, loss experience and risk seeking attitudes.

  1. CEA - Assessment of risk management 2013

    International Nuclear Information System (INIS)

    Bigot, Bernard; Bonnevie, Edwige; Maillot, Bernard

    2014-06-01

    After some introducing texts by CEA managers, this report proposes a rather detailed overview and presentation of CEA activities, objectives and obtained results in different fields: protection and control of the environment, installation safety, health, safety and radiation protection, transports of hazardous materials, waste management, protection of sites, installations and heritage, management of emergency situations, management of legal risks, internal controls and audits, activity of the risk management department, CEA activities from research to industry

  2. [The relevance of clinical risk management].

    Science.gov (United States)

    Gulino, Matteo; Vergallo, Gianluca Montanari; Frati, Paola

    2011-01-01

    Medical activity includes a risk of possible injury or complications for the patients, that should drive the Health Care Institutions to introduce and/ or improve clinical Risk management instruments. Although Italy is still lacking a National project of Clinical Risk Management, a number of efforts have been made by different Italian Regions to introduce instruments of risk management. In addition, most of National Health Care Institutions include actually a Department specifically in charge to manage the clinical risk. Despite the practical difficulties, the results obtained until now suggest that the risk management may represent a useful instrument to contribute to the reduction of errors in clinical conduct. Indeed, the introduction of adequate instruments of prevention and management of clinical risk may help to ameliorate the quality of health care Institution services.

  3. Adding intelligence to mobile asset management in hospitals: the true value of RFID.

    Science.gov (United States)

    Castro, Linda; Lefebvre, Elisabeth; Lefebvre, Louis A

    2013-10-01

    RFID (Radio Frequency Identification) technology is expected to play a vital role in the healthcare arena, especially in times when cost containments are at the top of the priorities of healthcare management authorities. Medical equipment represents a significant share of yearly healthcare operational costs; hence, ensuring an effective and efficient management of such key assets is critical to promptly and reliably deliver a diversity of clinical services at the patient bedside. Empirical evidence from a phased-out RFID implementation in one European hospital demonstrates that RFID has the potential to transform asset management by improving inventory management, enhancing asset utilization, increasing staff productivity, improving care services, enhancing maintenance compliance, and increasing information visibility. Most importantly, RFID allows the emergence of intelligent asset management processes, which is, undoubtedly, the most important benefit that could be derived from the RFID system. Results show that the added intelligence can be rather basic (auto-status change) or a bit more advanced (personalized automatic triggers). More importantly, adding intelligence improves planning and decision-making processes.

  4. Emotional intelligence and successful change management in the Nigerian banking industry

    Directory of Open Access Journals (Sweden)

    John N. N. Ugoani

    2017-06-01

    Full Text Available Successful organizational change requires a supportive culture and competence development driven by exceptional leadership that can influence business strategy in allocating financial, human and material resources, processes and systems that focus on collaborative imperatives. Change management is the lubricant that oils the wheels of organizations in the race for competitive advantage. Many organizational change efforts face resistance mainly because of the method of implementation. Change Management involves the ability to communicate, influence, collaborate and work in harmony with colleagues. Emotional intelligence competencies allow organizational members to acknowledge the need for change, remove barriers, and enlist others in pursuit of new initiatives aimed at organizational success. Beginning in the late 1990s, banks in Nigeria embarked on change management through BPR that involved emotional intelligence competencies which saw the banking industry’s shareholders’ funds rising from minus N792m in 1996 to N1,935bn in 2011. The survey research design was used for the study, and data were analyzed to demonstrate the relationship between emotional intelligence and successful change management. It was found that EI has strong positive relationship with successful change management in the Nigerian banking industry.

  5. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model

    Science.gov (United States)

    LIU, Tongzhu; SHEN, Aizong; HU, Xiaojian; TONG, Guixian; GU, Wei

    2017-01-01

    Background: We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. Methods: We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. Results: For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Conclusion: Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers. PMID:28828316

  6. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model.

    Science.gov (United States)

    Liu, Tongzhu; Shen, Aizong; Hu, Xiaojian; Tong, Guixian; Gu, Wei

    2017-06-01

    We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers.

  7. The Relationship of Business Intelligence Systems to Organizational Performance Benefits: A Structural Equation Modeling of Management Decision Making

    Science.gov (United States)

    Sparks, Betsy H.

    2014-01-01

    Business Intelligence is a major expenditure in many organizations and necessary for competitive advantage. These expenditures do not result in maximum benefits for the organization if the information obtained from the Business Intelligence System (BIS) is not used in the management decision-making process. This quantitative research study used an…

  8. 77 FR 3544 - Meeting and Webinar on the Active Traffic and Demand Management and Intelligent Network Flow...

    Science.gov (United States)

    2012-01-24

    ... Intelligent Network Flow Optimization Operational Concepts; Notice of Public Meeting AGENCY: Research and... Demand Management (ADTM) and Intelligent Network Flow Optimization (INFLO) operational concepts. The ADTM... infrastructure. The vision for ATDM research is to allow transportation agencies to increase traffic flow...

  9. From manager's emotional intelligence to objective store performance: Through store cohesiveness and sales-directed employee behavior

    NARCIS (Netherlands)

    Wilderom, Celeste P.M.; Hur, YounHee; Wiersma, Uco J.; van den Berg, Peter T.; Lee, Jaehoon

    2015-01-01

    The relationships among manager's emotional intelligence, store cohesiveness, sales-directed employee behavior, and objective store performance were investigated. Non-managerial sales employees of a large retail electronics chain in South Korea (N = 1611) rated the emotional intelligence of their

  10. Contradictions Between Risk Management and Sustainable Development

    Energy Technology Data Exchange (ETDEWEB)

    Olsen, Odd Einar; Langhelle, Oluf; Engen, Ole A. [Univ. of Stavanger (Norway). Dept. of Media, Culture and Social Science

    2006-09-15

    The aim of this paper is to discuss how risk management as a methodology and mindset influence on priorities and decisions concerning sustainable development. Management of risks and hazards often rely on partial analysis with a limited time frame. This may lead to a paradoxical situation where risk management and extended use of risk analysis could hamper long term sustainable development. The question is: Does the use of risk and vulnerability analysis (RaV-analysis) hamper or contribute to sustainable development? Because risk management and assessment has a more narrow scope and a limited time perspective based on well established methodologies, the tangible impacts of risk reducing measures in a project is easier to calculate than long-term and intangible impacts on global development. Empirical evidence is still scarce, but our preliminary conclusion is that mainstream risk management and assessments is counterproductive to sustainable development.

  11. Contradictions Between Risk Management and Sustainable Development

    International Nuclear Information System (INIS)

    Olsen, Odd Einar; Langhelle, Oluf; Engen, Ole A.

    2006-01-01

    The aim of this paper is to discuss how risk management as a methodology and mindset influence on priorities and decisions concerning sustainable development. Management of risks and hazards often rely on partial analysis with a limited time frame. This may lead to a paradoxical situation where risk management and extended use of risk analysis could hamper long term sustainable development. The question is: Does the use of risk and vulnerability analysis (RaV-analysis) hamper or contribute to sustainable development? Because risk management and assessment has a more narrow scope and a limited time perspective based on well established methodologies, the tangible impacts of risk reducing measures in a project is easier to calculate than long-term and intangible impacts on global development. Empirical evidence is still scarce, but our preliminary conclusion is that mainstream risk management and assessments is counterproductive to sustainable development

  12. Risk management with options and futures under liquidity risk

    OpenAIRE

    Adam-Müller, A F A; Panaretou, A

    2009-01-01

    Futures hedging creates liquidity risk through marking to market. Liquidity risk matters if interim losses on a futures position have to be financed at a markup over the risk-free rate. This study analyzes the optimal risk management and production decisions of a firm facing joint price and liquidity risk. It provides a rationale for the use of options on futures in imperfect capital markets. If liquidity risk materializes, the firm sells options on futures in order to partly cover this liqui...

  13. Cattle farmers’ perceptions of risk and risk management strategies

    DEFF Research Database (Denmark)

    Bishu, Kinfe G.; O'Reilly, Seamus; Lahiff, Edward

    2018-01-01

    This study analyzes cattle farmers’ perceptions of risk and risk management strategies in Tigray, Northern Ethiopia. We use survey data from a sample of 356 farmers based on multistage random sampling. Factor analysis is employed to classify scores of risk and management strategies, and multiple...... utilization were perceived as the most important strategies for managing risks. Livestock disease and labor shortage were perceived as less of a risk by farmers who adopted the practice of zero grazing compared to other farmers, pointing to the potential of this practice for risk reduction. We find strong...... evidence that farmers engage in multiple risk management practices in order to reduce losses from cattle morbidity and mortality. The results suggest that government strategies that aim at reducing farmers’ risk need to be tailored to specific farm and farmer characteristics. Findings from this study have...

  14. Hazard evaluation and risk management

    International Nuclear Information System (INIS)

    Fritzsche, A.F.

    1986-01-01

    The eigth chapter deals with the actual handling of hazards. The principal issue concerns man's behaviour towards hazards as an individual formerly and today; the evaluation of expected results of both a positive and a negative kind as determined by the individual's values which may differ and vary greatly from one individual to the next. The evaluation of benefit and hazard as well as the risk management resulting from decision-taking are political processes in the democratic state. Formal decision-taking tools play a major role in this process which concerns such central issues like who will participate; how the decision is arrived at; the participation of citizens; specialist knowledge and participation of the general public. (HSCH) [de

  15. Benchmarking Outdoor Expeditionary Program Risk Management Strategies

    Science.gov (United States)

    Meerts-Brandsma, Lisa; Furman, Nate; Sibthorp, Jim

    2017-01-01

    In 2003, the University of Utah and the National Outdoor Leadership School (NOLS) completed a study that developed a risk management taxonomy in the outdoor adventure industry and assessed how different outdoor expeditionary programs (OEPs) managed risk (Szolosi, Sibthorp, Paisley, & Gookin, 2003). By unifying the language around risk, the…

  16. Information risk management a practitioner's guide

    CERN Document Server

    Sutton, David

    2014-01-01

    Information risk management (IRM) is about identifying, assessing and prioritising risks to keep information secure and available. This accessible book provides practical guidance to the principles and development of a strategic approach to an IRM programme. The only textbook for the BCS Practitioner Certificate in Information Risk Management.

  17. Active Risk Management and Banking Stability

    NARCIS (Netherlands)

    Silva Buston, C.F.

    2013-01-01

    Abstract: This paper analyzes the net impact of two opposing effects of active risk management at banks on their stability: higher risk-taking incentives and better isolation of credit supply from varying economic conditions. We present a model where banks actively manage their portfolio risk by

  18. Risk Management and Financial Derivatives: An Overview

    NARCIS (Netherlands)

    S.M. Hammoudeh (Shawkat); M.J. McAleer (Michael)

    2012-01-01

    textabstractRisk management is crucial for optimal portfolio management. One of the fastest growing areas in empirical finance is the expansion of financial derivatives. The purpose of this special issue on “Risk Management and Financial Derivatives” is to highlight some areas in which novel

  19. Risk management at Lawrence Livermore National Laboratory

    International Nuclear Information System (INIS)

    Cummings, G.E.; Strait, R.S.

    1993-10-01

    Managing risks at a large national laboratory presents a unique set of challenges. These challenges include the management of a broad diversity of activities, the need to balance research flexibility against management control, and a plethora of requirements flowing from regulatory and oversight bodies. This paper will present the experiences of Lawrence Livermore National Laboratory (LLNL) in risk management and in dealing with these challenges. While general risk management has been practiced successfully by all levels of Laboratory management, this paper will focus on the Laboratory's use of probabilistic safety assessment and prioritization techniques and the integration of these techniques into Laboratory operations

  20. Implications of Fuzziness for the Practical Management of High-Stakes Risks

    Directory of Open Access Journals (Sweden)

    Mark Jablonowski

    2010-04-01

    Full Text Available High-stakes (dangerous, catastrophic risks take on a wider profile as progress unfolds. What are the impacts of technological and social change on the risk landscape? Due to the complexities and dynamics involved, we can only answer these questions approximately. By using the concept of fuzziness, we can formalize our imprecision about high-stakes risk, and therefore place their management on a stronger footing. We review here the impacts of fuzziness, i.e., knowledge imperfection, on high-stakes risk management, including its implementation via computationally intelligent decision aids.

  1. Risk factor management: antiatherogenic therapies.

    Science.gov (United States)

    Gielen, Stephan; Sandri, Marcus; Schuler, Gerhard; Teupser, Daniel

    2009-08-01

    Despite the advances in interventional techniques, the management of stable atherosclerosis remains the domain of optimal guideline-oriented therapy. Recent studies on the effects of aggressive lipid lowering on atheroma volume changes using intravascular ultrasound indicate that it is possible to achieve atherosclerosis regression by reaching low-density lipoprotein (LDL) levels less than 75 mg/dl. The pleiotropic anti-inflammatory effects of statins contribute to the reduction of cardiovascular (CV) event observed with aggressive lipid lowering. As a second important strategy to prevent disease progression, lifestyle changes with regular physical exercise are capable of halting the atherosclerotic process and reducing angina symptoms and CV events. Optimal medical therapy, a healthy lifestyle with regular physical exercise, and coronary interventions are not mutually exclusive treatment strategies. Over the last few decades, both have proved to be effective in significantly reducing the CV mortality in the Western world. However, risk factor modification contributed to at least half the effect in the reduction of CV mortality. This figure provides an estimate of what could be achieved if we were to take risk factor modification more seriously - especially in the acute care setting. The knowledge is there: today we have a better understanding on how to stop progression and even induce regression of atherosclerosis. Much research still needs to be done and will be done. In the meantime, however, our primary focus should lie in implementing what is already known. In addition, it is essential not just to treat CV risk factors, but also to treat them to achieve the target values as set by the guidelines of European Society of Cardiology.

  2. Strategies for successful software development risk management

    Directory of Open Access Journals (Sweden)

    Marija Boban

    2003-01-01

    Full Text Available Nowadays, software is becoming a major part of enterprise business. Software development is activity connected with advanced technology and high level of knowledge. Risks on software development projects must be successfully mitigated to produce successful software systems. Lack of a defined approach to risk management is one of the common causes for project failures. To improve project chances for success, this work investigates common risk impact areas to perceive a foundation that can be used to define a common approach to software risk management. Based on typical risk impact areas on software development projects, we propose three risk management strategies suitable for a broad area of enterprises and software development projects with different amounts of connected risks. Proposed strategies define activities that should be performed for successful risk management, the one that will enable software development projects to perceive risks as soon as possible and to solve problems connected with risk materialization. We also propose a risk-based approach to software development planning and risk management as attempts to address and retire the highest impact risks as early as possible in the development process. Proposed strategies should improve risk management on software development projects and help create a successful software solution.

  3. Intelligent seismic risk mitigation system on structure building

    Science.gov (United States)

    Suryanita, R.; Maizir, H.; Yuniorto, E.; Jingga, H.

    2018-01-01

    Indonesia located on the Pacific Ring of Fire, is one of the highest-risk seismic zone in the world. The strong ground motion might cause catastrophic collapse of the building which leads to casualties and property damages. Therefore, it is imperative to properly design the structural response of building against seismic hazard. Seismic-resistant building design process requires structural analysis to be performed to obtain the necessary building responses. However, the structural analysis could be very difficult and time consuming. This study aims to predict the structural response includes displacement, velocity, and acceleration of multi-storey building with the fixed floor plan using Artificial Neural Network (ANN) method based on the 2010 Indonesian seismic hazard map. By varying the building height, soil condition, and seismic location in 47 cities in Indonesia, 6345 data sets were obtained and fed into the ANN model for the learning process. The trained ANN can predict the displacement, velocity, and acceleration responses with up to 96% of predicted rate. The trained ANN architecture and weight factors were later used to build a simple tool in Visual Basic program which possesses the features for prediction of structural response as mentioned previously.

  4. Probabilistic risk assessment and intelligent decision support systems

    International Nuclear Information System (INIS)

    Wu, J.S.; Apostolakis, G.E.; Okrent, D.

    1989-01-01

    The purpose of this paper is to review the progress made in recent years in both the area of PRA as a support to AI applications and the area of AI applications in PRA. The emphasis is on the areas that have made some progress in the past few years, with a brief description of the methods and a discussion of the potential uses and weaknesses. Also included is a brief review of recent developments in the theory of uncertainty in the AI community that may impact uncertainty modeling in PRA. AI techniques could be applied to the related field of PRA in several ways. In this discussion, however, the scope is limited to emergency diagnosis and accident management, because these are the areas that have attracted most of the attention in recent years. The potential use of PRA as a support to these applications is discussed in detail, and this is followed by a survey of recent developments in these areas. (orig./GL)

  5. Intelligent Materials Tracking System for Construction Projects Management

    Directory of Open Access Journals (Sweden)

    Narimah Kasim

    2015-05-01

    Full Text Available An essential factor adversely affecting the performance of construction projects is the improper handling of materials during site activities. In addition, paper-based reports are mostly used to record and exchange information related to the material components within the supply chain, which is problematic and inefficient. Generally, technologies (such as wireless systems and RFID are not being adequately used to overcome human errors and are not well integrated with project management systems to make tracking and management of materials easier and faster. Findings from a literature review and surveys showed that there is a lack of positive examples of such tools having been used effectively. Therefore, this research focused on the development of a materials tracking system that integrates RFID-based materials management with resources modelling to improve on-site materials tracking. Rapid prototyping was used to develop the system and testing of the system was carried out to examine the functionality and working appropriately. The proposed system is intended to promote the employment of RFID for automatic materials tracking with integration of resource modelling (Microsoft (R Office Project in the project management system in order to establish which of the tagged components are required resources for certain project tasks. In conclusion, the system provides an automatic and easy tracking method for managing materials during materials delivery and inventory management processes in construction projects.

  6. Risk and/or resilience management

    Directory of Open Access Journals (Sweden)

    Jean-Paul Louisot

    2015-06-01

    Full Text Available Risk management aims at managing all the uncertainties that may interfere with the objectives and missions of the organization. Resilience engineering aims at building its capacity to get over disturbances or stress while keeping the functionalities needed to survive, and possibly thrive. A recently open debate on an Internet blog launched by the risk managers of the Scottish Widows Bank seems to arise from what some professionals see as two competing branches of the management sciences. Whereas through the development of ERM – Enterprise-wide Risk Managementrisk management is emerging at last to become a science, as well as an art and a practice, the mentioned above centered on the role of a newly forged name “resilience management”. This opens a new front of the many debates that could derail the path to maturity of Risk Management as a science and reopen new silos much as Business Impact Analysis, BIA, or continuity management, might do if a clear distinction is not made between science, objectives and tools. However, because organizations are so interconnected today in the supply cloud that it is inevitable that they will face catastrophic risk and this is why resilience needs to be a core objective of any risk management plan? Whereas traditional risk management techniques alone may not be adequate to deal with such pervasive and insipient risk scenarios, resilience is ingrained into ERM

  7. A Map for Clinical Laboratories Management Indicators in the Intelligent Dashboard.

    Science.gov (United States)

    Azadmanjir, Zahra; Torabi, Mashallah; Safdari, Reza; Bayat, Maryam; Golmahi, Fatemeh

    2015-08-01

    management challenges of clinical laboratories are more complicated for educational hospital clinical laboratories. Managers can use tools of business intelligence (BI), such as information dashboards that provide the possibility of intelligent decision-making and problem solving about increasing income, reducing spending, utilization management and even improving quality. Critical phase of dashboard design is setting indicators and modeling causal relations between them. The paper describes the process of creating a map for laboratory dashboard. the study is one part of an action research that begins from 2012 by innovation initiative for implementing laboratory intelligent dashboard. Laboratories management problems were determined in educational hospitals by the brainstorming sessions. Then, with regard to the problems key performance indicators (KPIs) specified. the map of indicators designed in form of three layered. They have a causal relationship so that issues measured in the subsequent layers affect issues measured in the prime layers. the proposed indicator map can be the base of performance monitoring. However, these indicators can be modified to improve during iterations of dashboard designing process.

  8. Risk Management in Mergers and Acquisitions

    Directory of Open Access Journals (Sweden)

    Dmitry O. Verdiev

    2015-01-01

    Full Text Available M&A statistics show that less than a third of newly merged companies has realized their planned synergistic effects and increased shareholder value. According to the author, such disgusting situation is due to improper planning and failure of corporate management to understand the importance of risk management in M&A. Lack of practice in identification, evaluation, mitigation and regular monitoring of risks leads to the situation when many companies merge despite the fact that the merger bears substantial risks. Corporate management fails to include risk mitigation expenses in merger costs. In many cases, risk mitigation expenses may be so substantive that the merger loses its attractiveness. Only few companies implement risk management methodology while planning M&A activity. This methodology may anticipate and minimize the consequences of various risk factors that negatively influence integration process. The article suggests an implementation of risk management best practice. This risk management best practice may act as an effective tool of successful realization of synergistic effects in M&A and may be helpful in increasing shareholder value in post-merger period. Risk management is conducted throughout the stages of merger and includes identification, analysis, assessment, management and monitoring of risks. Implementation of risk management at early stages of merger planning significantly decreases uncertainty in relation to achievement of financial and operational goals of newly merged company. The article provides with typical M&A risk matrix that may be adapted for specific M&A project. Risk matrix includes a register of risks sorted by stages of M&A deal, quality assessment of their probability, influence and impact on merger as well as risk mitigation methods.

  9. 77 FR 13585 - Electricity Subsector Cybersecurity Risk Management Process Guideline

    Science.gov (United States)

    2012-03-07

    ... DEPARTMENT OF ENERGY Electricity Subsector Cybersecurity Risk Management Process Guideline AGENCY... Electricity Subsector Cybersecurity Risk Management Process guideline. The guideline describes a risk... Cybersecurity Risk Management Process Guideline. The primary goal of this guideline is to describe a risk...

  10. Hybrid Risk Management Methodology: A Case Study

    Directory of Open Access Journals (Sweden)

    Jacky Siu-Lun Ting

    2009-10-01

    Full Text Available Risk management is a decision-making process involving considerations of political, social, economic and engineering factors with relevant risk assessments relating to a potential hazard. In the last decade, a number of risk management tools are introduced and employed to manage and minimize the uncertainty and threats realization to the organizations. However, the focus of these methodologies are different; in which companies need to adopt various risk management principles to visualize a full picture of the organizational risk level. Regarding to this, this paper presents a new approach of risk management that integrates Hierarchical Holographic Modeling (HHM, Enterprise Risk Management (ERM and Business Recovery Planning (BCP for identifying and assessing risks as well as managing the consequences of realized residual risks. To illustrate the procedures of the proposed methodology, a logistic company ABC Limited is chosen to serve as a case study Through applying HHM and ERM to investigate and assess the risk, ABC Limited can be better evaluated the potential risks and then took the responsive actions (e.g. BCP to handle the risks and crisis in near future.

  11. Continuous Risk Management: A NASA Program Initiative

    Science.gov (United States)

    Hammer, Theodore F.; Rosenberg, Linda

    1999-01-01

    NPG 7120.5A, "NASA Program and Project Management Processes and Requirements" enacted in April, 1998, requires that "The program or project manager shall apply risk management principles..." The Software Assurance Technology Center (SATC) at NASA GSFC has been tasked with the responsibility for developing and teaching a systems level course for risk management that provides information on how to comply with this edict. The course was developed in conjunction with the Software Engineering Institute at Carnegie Mellon University, then tailored to the NASA systems community. This presentation will briefly discuss the six functions for risk management: (1) Identify the risks in a specific format; (2) Analyze the risk probability, impact/severity, and timeframe; (3) Plan the approach; (4) Track the risk through data compilation and analysis; (5) Control and monitor the risk; (6) Communicate and document the process and decisions.

  12. Management of new information technologies in organisations by intelligent software agents

    DEFF Research Database (Denmark)

    Abolfazlian, Ali Reza Kian

    1996-01-01

    I denne artikel præsenteres argumenter for, hvorfor den Kartesianske management model baseret på en kognitiv psykologisk forståelse af organisationer, ikke kan beskrive de forandringsprocesser, som indførelsen af ny informationsteknologi i organisationer forårsager. På denne baggrund definerer vi...... Post-Kartesiansk management. Endvidere argumenteres for, hvordan Intelligent Software Agents kan hjælpe managers med at få en bedre forståelse for de førnævnte forandringer i organisationerne....

  13. Emotional intelligence in nurse management and nurse job satisfaction and retention: a scoping review protocol.

    Science.gov (United States)

    Phillips, Jacqueline; Harris, Janet

    2017-11-01

    The objective of this review is to map what is known about emotional intelligence (EI) in relation to staff job satisfaction and retention in nursing, and the tools that are used to measure EI in this context. The primary question of this review is: What is known about nurse managers' EI as it relates to staff job satisfaction and retention in nursing?Sub-question 1: What tools are being used to measure nurse managers' EI and what theoretical frameworks are they based on?Sub-question 2: What gaps exist in the research related to nurse managers' EI as it relates to staff job satisfaction and retention in nursing?

  14. Software And Systems Engineering Risk Management

    Science.gov (United States)

    2010-04-01

    RSKM 2004 COSO Enterprise RSKM Framework 2006 ISO/IEC 16085 Risk Management Process 2008 ISO/IEC 12207 Software Lifecycle Processes 2009 ISO/IEC...1 Software And Systems Engineering Risk Management John Walz VP Technical and Conferences Activities, IEEE Computer Society Vice-Chair Planning...Software & Systems Engineering Standards Committee, IEEE Computer Society US TAG to ISO TMB Risk Management Working Group Systems and Software

  15. Implications of Risk Management Practices on Financial ...

    African Journals Online (AJOL)

    Implications of Risk Management Practices on Financial Performance of Sugar ... The respondents were functional heads of the companies under the survey. ... of downside losses in order to minimize the negative impact of risk on returns.

  16. RISK MANAGEMENT MECHANISM OF GRAIN PROCESSING ENTERPRISES

    Directory of Open Access Journals (Sweden)

    I. P. Bogomolova

    2013-01-01

    Full Text Available In article the main characteristics of a control system by risks (the purpose, properties, the principles, requirements are defined, and also the possible mechanism of risk management of the flour-grinding enterprises is considered.

  17. Business managers turn to risk assessment

    International Nuclear Information System (INIS)

    Allen, Frank

    1993-01-01

    Risk assessments have evolved to help technical managers in nuclear and other industries to design and operate plant with safety in mind. However, they are now developing into the area of business management. (author)

  18. Highly Enhanced Risk Management Emergency Satellite

    DEFF Research Database (Denmark)

    Dalmeir, Michael; Gataullin, Yunir; Indrajit, Agung

    HERMES (Highly Enhanced Risk Management Emergency Satellite) is potential European satellite mission for global flood management, being implemented by Technical University Munich and European Space Agency. With its main instrument - a reliable and precise Synthetic Aperture Radar (SAR) antenna...

  19. What have we learned about intelligent transportation systems? Chapter 2, What have we learned about freeway incident and emergency management and electronic toll collection?

    Science.gov (United States)

    2000-12-01

    The intelligent infrastructure is often the most visible manifestation of intelligent transportation systems (ITS) along with roads, freeways, and incident management is often among the first ITS elements implemented. They can significantly contribut...

  20. Identity and access management business performance through connected intelligence

    CERN Document Server

    Osmanoglu, Ertem

    2013-01-01

    Identity and Access Management: Controlling Your Network provides you with a practical, in-depth walkthrough of how to plan, assess, design, and deploy IAM solutions. This book breaks down IAM into manageable components to ease systemwide implementation. The hands-on, end-to-end approach includes a proven step-by-step method for deploying IAM that has been used successfully in over 200 deployments. The book also provides reusable templates and source code examples in Java, XML, and SPML.Focuses on real-word implementations Provides end-to-end coverage of IAM from business drivers, requirements

  1. Business resilience: Reframing healthcare risk management.

    Science.gov (United States)

    Simeone, Cynthia L

    2015-09-01

    The responsibility of risk management in healthcare is fractured, with multiple stakeholders. Most hospitals and healthcare systems do not have a fully integrated risk management system that spans the entire organizational and operational structure for the delivery of key services. This article provides insight toward utilizing a comprehensive Business Resilience program and associated methodology to understand and manage organizational risk leading to organizational effectiveness and operational efficiencies, with the fringe benefit of realizing sustainable operational capability during adverse conditions. © 2015 American Society for Healthcare Risk Management of the American Hospital Association.

  2. Emotionally intelligent leadership as a key determinant of strategic and effective management of human capital

    Directory of Open Access Journals (Sweden)

    Helena Viskupičová

    2016-06-01

    Full Text Available The purpose of this paper is to outline the strategic importance of Emotional Intelligence (EI in contemporary approaches to management of Human resources (HR. The aim of this study is to provide a conceptual theoretical insight of the relationship between EI and leadership. The paper also reflects the conditions within the present business environment in Slovakia with the emphasis on leadership in the context of EI (based on the research conducted in this field, while answering the following question: To what extent do Slovak organizations incorporate EI measures into the hiring process for managerial positions? The answer to this question would consequently disclose whether organizations in Slovakia consider Emotional Intelligence as a factor determining effective performance of managers – leaders.

  3. Clinical Data Warehouse: An Effective Tool to Create Intelligence in Disease Management.

    Science.gov (United States)

    Karami, Mahtab; Rahimi, Azin; Shahmirzadi, Ali Hosseini

    Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, process improvement, external reporting, benchmarking, and trend analysis, as well as to enable the decisions needed to prevent the progression or appearance of the illness aligning with maintaining the health of the population. The aim of this review article is to describe the benefits of clinical data warehouse applications in creating intelligence for disease management programs.

  4. A fuzzy logic intelligent diagnostic system for spacecraft integrated vehicle health management

    Science.gov (United States)

    Wu, G. Gordon

    1995-01-01

    Due to the complexity of future space missions and the large amount of data involved, greater autonomy in data processing is demanded for mission operations, training, and vehicle health management. In this paper, we develop a fuzzy logic intelligent diagnostic system to perform data reduction, data analysis, and fault diagnosis for spacecraft vehicle health management applications. The diagnostic system contains a data filter and an inference engine. The data filter is designed to intelligently select only the necessary data for analysis, while the inference engine is designed for failure detection, warning, and decision on corrective actions using fuzzy logic synthesis. Due to its adaptive nature and on-line learning ability, the diagnostic system is capable of dealing with environmental noise, uncertainties, conflict information, and sensor faults.

  5. Contextual Intelligent Load Management Considering Real Time Pricing in a Smart Grid Environment

    DEFF Research Database (Denmark)

    Gomes, Luis; Fernandes, Filipe; Faria, Pedro

    2013-01-01

    The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium...... size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper...... addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks....

  6. Probabilistic risk assessment methodology for risk management and regulatory applications

    International Nuclear Information System (INIS)

    See Meng Wong; Kelly, D.L.; Riley, J.E.

    1997-01-01

    This paper discusses the development and potential applications of PRA methodology for risk management and regulatory applications in the U.S. nuclear industry. The new PRA methodology centers on the development of This paper discusses the time-dependent configuration risk profile for evaluating the effectiveness of operational risk management programs at U.S. nuclear power plants. Configuration-risk profiles have been used as risk-information tools for (1) a better understanding of the impact of daily operational activities on plant safety, and (2) proactive planning of operational activities to manage risk. Trial applications of the methodology were undertaken to demonstrate that configuration-risk profiles can be developed routinely, and can be useful for various industry and regulatory applications. Lessons learned include a better understanding of the issues and characteristics of PRA models available to industry, and identifying the attributes and pitfalls in the developement of risk profiles

  7. THE ANALYSIS OF RISK MANAGEMENT PROCESS WITHIN MANAGEMENT

    Directory of Open Access Journals (Sweden)

    ROMANESCU MARCEL LAURENTIU

    2016-10-01

    Full Text Available This article highlights the risk analysis within management, focusing on how a company could practicaly integrate the risks management in the existing leading process. Subsequently, it is exemplified the way of manage risk effectively, which gives numerous advantages to all firms, including improving their decision-making process. All these lead to the conclusion that the degree of risk specific to companies is very high, but if managers make the best decisions then it can diminish it and all business activitiy and its income are not influenced by factors that could disturb in a negative way .

  8. Intelligent data analysis: the best approach for chronic heart failure (CHF) follow up management.

    Science.gov (United States)

    Mohammadzadeh, Niloofar; Safdari, Reza; Baraani, Alireza; Mohammadzadeh, Farshid

    2014-08-01

    Intelligent data analysis has ability to prepare and present complex relations between symptoms and diseases, medical and treatment consequences and definitely has significant role in improving follow-up management of chronic heart failure (CHF) patients, increasing speed ​​and accuracy in diagnosis and treatments; reducing costs, designing and implementation of clinical guidelines. The aim of this article is to describe intelligent data analysis methods in order to improve patient monitoring in follow and treatment of chronic heart failure patients as the best approach for CHF follow up management. Minimum data set (MDS) requirements for monitoring and follow up of CHF patient designed in checklist with six main parts. All CHF patients that discharged in 2013 from Tehran heart center have been selected. The MDS for monitoring CHF patient status were collected during 5 months in three different times of follow up. Gathered data was imported in RAPIDMINER 5 software. Modeling was based on decision trees methods such as C4.5, CHAID, ID3 and k-Nearest Neighbors algorithm (K-NN) with k=1. Final analysis was based on voting method. Decision trees and K-NN evaluate according to Cross-Validation. Creating and using standard terminologies and databases consistent with these terminologies help to meet the challenges related to data collection from various places and data application in intelligent data analysis. It should be noted that intelligent analysis of health data and intelligent system can never replace cardiologists. It can only act as a helpful tool for the cardiologist's decisions making.

  9. Economic Exposure and Integrated Risk Management

    OpenAIRE

    Miller, Kent D.

    1994-01-01

    Most corporate risk management research focuses on particular risk exposures to the exclusion of other interrelated exposures. By contrast, this study models corporate risk exposures using a multivariate approach integrating the distinct exposures of interest to finance and strategy researchers. The paper addresses the implications of multivariate modeling for corporate risk management, some key methodological issues arising in empirical estimation of corporate economic exposrues, and direc...

  10. PERFORMANCE IN INTERNAL CONTROL AND RISK MANAGEMENT

    OpenAIRE

    JELER (POPA) IOANA; FOCŞAN ELEONORA IONELA; CORICI MARIAN CĂTĂLIN

    2017-01-01

    The purpose of this article is to highlight the importance of internal control and risk management. In practice, economic entities meet a variety of risks that have the origins from the internal environment or the external one. Although there are different of views on addressing the concept of risk - threats or opportunities, event or action, accordingly uncertain, proposed by specialists in risk management in this article we try to present these issues and identify techniques to ...

  11. APPLIED ISSUES ABOUT BANKING RISK MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Elena Geanina Clipici

    2017-09-01

    Full Text Available The following paper emphasizes the need to deepen the understanding of the notion of banking risk management by explaining the significant risks the bank encounters during financial exercises as well as their additional entries. The study of the paper will focus on UniCredit Bank during the years 2014 and  2015 on all types of risks, in which we will provide comprehensive data on how the UniCredit Bank management applies its risk policies.

  12. CEA - Assessment of risk management for 2012

    International Nuclear Information System (INIS)

    Bonnevie, Edwige

    2013-06-01

    This report proposes an overview of the main events, actions performed by the CEA, and facts for 2012 regarding protection and monitoring of the environment, installation safety, occupational health and safety, radiological protection of workers, transportation of hazardous materials, waste management, protection of sites, installations and heritage, emergency situation management, legal risk management, internal controls and audits. It also presents the organisation and action of the risk management department within the CEA

  13. Management Ownership and Risk-Shifting Investment

    OpenAIRE

    Nobuyuki Teshima

    2012-01-01

    This study analyzes the relationship between management ownership and its risk-shifting incentive. We first present a simple model showing that the risk-shifting incentive of management of financially distressed firms increases as the management ownership of the firm increases. Empirically, we test the hypothesis that under the former Japanese Corporate Reorganization Law, firms with higher management ownership are more likely to use legal rather than private reorganization. Since the reorgan...

  14. Feedback on flood risk management

    Science.gov (United States)

    Moreau, K.; Roumagnac, A.

    2009-09-01

    For several years, as floods were increasing in South of France, local communities felt deprive to assume their mission of protection and information of citizens, and were looking for assistance in flood management. In term of flood disaster, the fact is that physical protection is necessary but inevitably limited. Tools and structures of assistance to anticipation remain slightly developed. To manage repeated crisis, local authorities need to be able to base their policy against flood on prevention, warnings, post-crisis analysis and feedback from former experience. In this objective, after 3 years of test and improvement since 2003, the initiative Predict-Services was developped in South of France: it aims at helping communities and companies to face repeated flood crisis. The principle is to prepare emergency plans, to organize crisis management and reduce risks; to help and assist communities and companies during crisis to activate and adapt their emergency plans with enough of anticipation; and to analyse floods effects and improve emergency plans afterwards. In order to reduce risks, and to keep the benefits of such an initiative, local communities and companies have to maintain the awareness of risk of the citizens and employees. They also have to maintain their safety plans to keep them constantly operational. This is a part of the message relayed. Companies, Local communities, local government authorities and basin stakeholders are the decision makers. Companies and local communities have to involve themselves in the elaboration of safety plans. They are also completely involved in their activation that is their own responsability. This applies to other local government authorities, like districts one's and basin stakeholders, which participle in the financing community safety plans and adminitrative district which are responsible of the transmission of meteorological alert and of rescue actions. In the crossing of the géo-information stemming from the

  15. Risk Management for the International Space Station

    Science.gov (United States)

    Sebastian, J.; Brezovic, Philip

    2002-01-01

    The International Space Station (ISS) is an extremely complex system, both technically and programmatically. The Space Station must support a wide range of payloads and missions. It must be launched in numerous launch packages and be safely assembled and operated in the harsh environment of space. It is being designed and manufactured by many organizations, including the prime contractor, Boeing, the NASA institutions, and international partners and their contractors. Finally, the ISS has multiple customers, (e.g., the Administration, Congress, users, public, international partners, etc.) with contrasting needs and constraints. It is the ISS Risk Management Office strategy to proactively and systematically manages risks to help ensure ISS Program success. ISS program follows integrated risk management process (both quantitative and qualitative) and is integrated into ISS project management. The process and tools are simple and seamless and permeate to the lowest levels (at a level where effective management can be realized) and follows the continuous risk management methodology. The risk process assesses continually what could go wrong (risks), determine which risks need to be managed, implement strategies to deal with those risks, and measure effectiveness of the implemented strategies. The process integrates all facets of risk including cost, schedule and technical aspects. Support analysis risk tools like PRA are used to support programatic decisions and assist in analyzing risks.

  16. Social Risk and the Management of MNCs

    DEFF Research Database (Denmark)

    Taarup Esbensen, Jacob

    2015-01-01

    Multinational companies (MNCs) are increasing being exposed to risk that originate from local communities in the business environment where they operate. The response has been to implement systems for stakeholder engagement by including social issues into their risk management systems. However......” systems, which are based on the capability to identify frames and sensemaking processes. This paper show how social risk management can be conventionalised using distinct theoretical domains taking its outset in a sociological perspective on risk, linking International Business (IB) risk management...

  17. The Effect of Perceived Abusive Management of Workers to Their Performance and the Role of Emotional Intelligence on This Effect

    Directory of Open Access Journals (Sweden)

    Mahmut AKIN

    2014-06-01

    Full Text Available In this research it is evaluated the effect of perceived abusive management of workers to their performance and the role of emotional intelligence on this effect. Research is realized with 253 civil servants in Kırşehir. Workers performance is handled two dimensional. One of them is task performance and the other one is contextual performance. According to the results, emotional intelligence is diminished or eliminated the effects of abusive management on workers performance. Additionally; emotional intelligence has a positive oriented relationship with task and contextual performance, abusive management has a negative oriented relationship with task and contextual performance. There is a positive oriented relationship between task and contextual performance. Another result of the research is the negative oriented relationship between emotional intelligence and the perceived abusive management.

  18. Intelligent workflow driven processing for electronic mail management

    African Journals Online (AJOL)

    Email has become one of the most efficient means of electronics communication for many years and email management has become a critical issue due to congestion. Different client/individuals encounter problems while processing their emails due to large volume of email being received and lot of request to be replied.

  19. Using Emotional Intelligence in Training Crisis Managers: The Pandora Approach

    Science.gov (United States)

    Mackinnon, Lachian; Bacon, Liz; Cortellessa, Gabriella; Cesta, Amedeo

    2013-01-01

    Multi-agency crisis management represents one of the most complex of real-world situations, requiring rapid negotiation and decision-making under extreme pressure. However, the training offered to strategic planners, called Gold Commanders, does not place them under any such pressure. It takes the form of paper-based, table-top exercises, or…

  20. Implementation of an Intelligent Tutorial System for Socioenvironmental Management Projects

    Science.gov (United States)

    Vera, Gil; Daniel, Víctor; Awad, Gabriel

    2015-01-01

    The agents responsible of execution of physical infrastructure projects of the Government of Antioquia must know the theories and concepts related to the socio-environmental management of physical infrastructure projects. In the absence of tools and the little information on the subject, it is necessary to build a m-learning tool to facilitate to…

  1. Risks management in project planning

    OpenAIRE

    Stankevičiūtė, Roberta

    2017-01-01

    Project management consists of two very important aspects – managing the right project and managing the project right. To know that you are managing the right project you need to ensure that your project is based on an actual requirement and that your project goal is relevant and beneficial. And professional project planning assists in managing project the right way. The project planning process is very time consuming and is one of the most important parts of the project management process. T...

  2. Artificial intelligence applied in claims management: Bet on the right customer with claims satisfaction predictive modeling

    OpenAIRE

    Lamarsaude, Benoit

    2017-01-01

    Insurance companies suffer from loss of customer consecutively to claims. Only a small portion of dissatisfied customer expresses themselves, creating difficulties in establishing a long term relationship. Increase customer loyalty is a major subject for insurers, because they have to maintain a minimum portfolio size and acquiring newclients is more expensive than retains the existing. In this work we use artificial intelligence techniques to assess and manage the customer satisfaction when ...

  3. Intelligent Supply Chain Integration and Management Based on Cloud of Things

    OpenAIRE

    Yan, Junwei; Xin, Sijin; Liu, Quan; Xu, Wenjun; Yang, Liwen; Fan, Li; Chen, Bo; Wang, Qiang

    2014-01-01

    The fierce global competition and market turbulence has been forcing the enterprises towards to the integration and intelligence for supply chain management, and the seamless information sharing and collaboration as well as operation agility are the challenges which need to be conquered, in terms of the highly distributed and heterogeneous resources located in separated warehouses. Although a number of works have been done to achieve the aforementioned targets, few of them are able to provide...

  4. Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems

    OpenAIRE

    Lei, Ao; Cruickshank, Haitham; Cao, Y; Asuquo, Philip; Anyigor Ogah, Chibueze Pascal; Sun, Zhili

    2017-01-01

    As modern vehicle and communication technologies advanced apace, people begin to believe that Intelligent Transportation System (ITS) would be achievable in one decade.\\ud ITS introduces information technology to the transportation infrastructures and aims to improve road safety and traffic efficiency. However, security is still a main concern in Vehicular Communication Systems (VCS). This can be addressed through secured group broadcast. Therefore, secure key management schemes are considere...

  5. Design a Smart Control Strategy to Implement an Intelligent Energy Safety and Management System

    OpenAIRE

    Jing-Min Wang; Ming-Ta Yang

    2014-01-01

    The energy saving and electricity safety are today a cause for increasing concern for homes and buildings. Integrating the radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) mature technologies, the paper designs a smart control strategy to implement an intelligent energy safety and management system (IESMS) which performs energy measuring, controlling, monitoring, and saving of the power outlet system. The presented RFID and billing module is used to identify user...

  6. Reducing water losses via intelligent pressure management; Reduzierung von Wasserverlusten durch intelligentes Druckmanagement

    Energy Technology Data Exchange (ETDEWEB)

    Oppinger, Peter [VAG-Armaturen GmbH, Mannheim (Germany). Marketing

    2008-03-15

    Leaks in water pipes and leaking municipal water-transmission and piping systems, particularly in developing and threshold countries account for water-losses of up to 50% of the water supplied by the waterworks. This article examines three different solutions for effective pressure management on the basis of an intelligent control system, by means of which water-losses can be reduced to a stable and economically rational level. (orig.)

  7. The total theory about risk management

    International Nuclear Information System (INIS)

    Furuya, Shunsuke

    2003-01-01

    A general working procedure of risk management, some example of other countries, topics and problems in the future are described. A definition of risk, risk assessment, risk management process, setting of aim and definite policy are explained. As a fundamental way of thinking, risk is controlled by ALARP (As Low As Reasonably Practicable). The upper and lower limit of risk level is called as Quantitative Safety Goal and Target Level of Safety, respectively. These limits in the atomic power and airplane are decided. Evaluation of risk, countermeasure and practice are explained. For example, a permissible range of risk and practical use in England, U.S.A, Holland and Japan are stated. Recently, accountability risk, missing demand risk and control risk are important. (S.Y.)

  8. Development of computerized risk management tool

    International Nuclear Information System (INIS)

    Kil Yoo Kim; Mee Jung Hwang; Seung Cheol Jang; Sang Hoon Han; Tae Woon Kim

    1997-01-01

    The author describes the kinds of efforts for the development of computerized risk management tool; (1) development of a risk monitor, Risk Monster, (2) improvement of McFarm (Missing Cutsets Finding Algorithm for Risk Monitor) and finally (3) development of reliability database management system, KwDBMan. Risk Monster supports for plant operators and maintenance schedulers to monitor plant risk and to avoid high peak risk by rearranging maintenance work schedule. Improved McFarm significantly improved calculation speed of Risk Monster for the cases of supporting system OOS (Out Of Service). KwDBMan manages event data, generic data and CCF (Common Cause Failure) data to support Risk Monster as well as PSA tool, KIRAP (KAERI Integrated Reliability Analysis Package)

  9. Goleman-Boyatzis Model of Emotional Intelligence for Dealing with Problems in Project Management

    Directory of Open Access Journals (Sweden)

    Peter Vincent Livesey

    2017-03-01

    Full Text Available As projects grow in size and complexity the sizes of teams needed to manage them also increases. This places greater emphasis on the need for the project manager to develop people management skills, commonly called soft skills, of which emotional intelligence (EI has been recognised as an important component. The objective of this research was to investigate the relevance of the Goleman-Boyatzis model of EI in dealing with the problems in large projects identified via a literature review. To achieve this end, a Delphi study using project managers who had been involved in the management of projects in excess of $500 million was used. The responses from the Delphi panel were analysed and the results showed that the competencies contained in the Goleman-Boyatzis model had a relevance of 95% or greater to the problems presented to the panel. A ranking of the various competencies contained within the model was also developed, some competencies being found to be more important than others. By confirming the importance of emotional intelligence, as described by the model, this research adds to the understanding of the necessary skills needed by a project manager to successfully manage large projects.

  10. Local intelligent electronic device (IED) rendering templates over limited bandwidth communication link to manage remote IED

    Science.gov (United States)

    Bradetich, Ryan; Dearien, Jason A; Grussling, Barry Jakob; Remaley, Gavin

    2013-11-05

    The present disclosure provides systems and methods for remote device management. According to various embodiments, a local intelligent electronic device (IED) may be in communication with a remote IED via a limited bandwidth communication link, such as a serial link. The limited bandwidth communication link may not support traditional remote management interfaces. According to one embodiment, a local IED may present an operator with a management interface for a remote IED by rendering locally stored templates. The local IED may render the locally stored templates using sparse data obtained from the remote IED. According to various embodiments, the management interface may be a web client interface and/or an HTML interface. The bandwidth required to present a remote management interface may be significantly reduced by rendering locally stored templates rather than requesting an entire management interface from the remote IED. According to various embodiments, an IED may comprise an encryption transceiver.

  11. Risk management method for small photovoltaic plants

    Directory of Open Access Journals (Sweden)

    Kirova Milena

    2016-09-01

    Full Text Available Risk management is necessary for achieving the goals of the organization. There are many methods, approaches, and instruments in the literature concerning risk management. However, these are often highly specialized and transferring them to a different field can prove difficult. Therefore, managers often face situations where they have no tools to use for risk management. This is the case with small photovoltaic plants (according to a definition by the Bulgarian State Energy and Water Regulatory Commission small applies to systems with a total installed power of 200 kWp. There are some good practices in the energy field for minimizing risks, but they offer only partial risk prevention and are not sufficient. Therefore a new risk management method needs to be introduced. Small photovoltaic plants offer plenty of advantages in comparison to the other renewable energy sources which makes risk management in their case more important. There is no classification of risks for the exploitation of small photovoltaic systems in the available literature as well as to what degree the damages from those risks could spread. This makes risk analysis and evaluation necessary for obtaining information which could aid taking decisions for improving risk management. The owner of the invested capital takes a decision regarding the degree of acceptable risk for his organization and it must be protected depending on the goals set. Investors in small photovoltaic systems need to decide to what degree the existing risks can influence the goals previously set, the payback of the investment, and what is the acceptable level of damages for the investor. The purpose of this work is to present a risk management method, which currently does not exist in the Bulgaria, so that the risks and the damages that could occur during the exploitation of small photovoltaic plants could be identified and the investment in such technology – justified.

  12. Role of NDT in risk management

    International Nuclear Information System (INIS)

    Porter, Jr. James F.

    2009-01-01

    Risk management is identifying and then managing threats that could severely affect or bring down a company. This involves reviewing the operations of the company to include the process, equipment, procedures and personnel. Potential threats are then identified including their probability of occurrence, and then taking appropriate actions to address the most likely threats. Traditionally, risk management was thought of as mostly getting the right insurance. However, this impression of risk management has changed dramatically. With the recent increase in rules and regulations and optimizing utilization of key resources, risk management is becoming a management practice that is as important as financial or facilities management. In ideal risk management, a prioritization process is followed whereby the risks with the greatest loss and greatest probability of occurring are handled first, and risks with lower probability of occurrence and lower loss are handled in descending order. In practice the process can be very difficult, and balancing between risks with a high probability of occurrence but lower loss versus a risk with high but lower probability of occurrence can often be mishandled. (author)

  13. Financial risk management of pharmacy benefits.

    Science.gov (United States)

    Saikami, D

    1997-10-01

    Financial risk management of pharmacy benefits in integrated health systems is explained. A managed care organization should assume financial risk for pharmacy benefits only if it can manage the risk. Horizontally integrated organizations often do not have much control over the management of drug utilization and costs. Vertically integrated organizations have the greatest ability to manage pharmacy financial risk; virtual integration may also be compatible. Contracts can be established in which the provider is incentivized or placed at partial or full risk. The main concerns that health plans have with respect to pharmacy capitation are formulary management and the question of who should receive rebates from manufacturers. The components needed to managed pharmacy financial risk depend on the type of contract negotiated. Health-system pharmacists are uniquely positioned to take advantage of opportunities opening up through pharmacy risk contracting. Functions most organizations must provide when assuming pharmacy financial risk can be divided into internal and external categories. Internally performed functions include formulary management, clinical pharmacy services and utilization management, and utilization reports for physicians. Functions that can be outsourced include claims processing and administration, provider- and customer support services, and rebates. Organizations that integrate the pharmacy benefit across the health care continuum will be more effective in controlling costs and improving outcomes than organizations that handle this benefit as separate from others. Patient care should not focus on payment mechanisms and unit costs but on developing superior processes and systems that improve health care.

  14. Risk Management and Uncertainty in Infrastructure Projects

    DEFF Research Database (Denmark)

    Harty, Chris; Neerup Themsen, Tim; Tryggestad, Kjell

    2014-01-01

    The assumption that large complex projects should be managed in order to reduce uncertainty and increase predictability is not new. What is relatively new, however, is that uncertainty reduction can and should be obtained through formal risk management approaches. We question both assumptions...... by addressing a more fundamental question about the role of knowledge in current risk management practices. Inquiries into the predominant approaches to risk management in large infrastructure and construction projects reveal their assumptions about knowledge and we discuss the ramifications these have...... for project and construction management. Our argument and claim is that predominant risk management approaches tends to reinforce conventional ideas of project control whilst undermining other notions of value and relevance of built assets and project management process. These approaches fail to consider...

  15. Risk management in a competitive electricity market

    International Nuclear Information System (INIS)

    Liu, Min; Wu, Felix F.

    2007-01-01

    In a competitive electricity market, it is necessary and important to develop an appropriate risk management scheme for trade with full utilization of the multi-market environment in order to maximize participants' benefits and minimize the corresponding risks. Based on the analyses to trading environments and risks in the electricity market, a layered framework of risk management for electric energy trading is proposed in this paper. Simulation results confirmed that trading among multiple markets is helpful to reduce the complete risk, and VaR provides a useful approach to judge whether the formed risk-control scheme is acceptable. (author)

  16. INVENTORY AND RISK MANAGEMENT: DECREASING DELIVERY RISK OF PURCHASERS

    Directory of Open Access Journals (Sweden)

    Grzegorz MICHALSKI

    2008-12-01

    Full Text Available The basic financial purpose of an enterprise is maximization of its value. Inventory management should also contribute to realization of this fundamental aim. The enterprise value maximization strategy is executed with a focus on risk and uncertainty. This article presents the consequences for the recipients firm that can result from operating risk that is related to delivery risk generated by the suppliers. The present article offers a method that uses portfolio management theory to choose the suppliers.

  17. Data Management in Metagenomics: A Risk Management Approach

    Directory of Open Access Journals (Sweden)

    Filipe Ferreira

    2014-07-01

    Full Text Available In eScience, where vast data collections are processed in scientific workflows, new risks and challenges are emerging. Those challenges are changing the eScience paradigm, mainly regarding digital preservation and scientific workflows. To address specific concerns with data management in these scenarios, the concept of the Data Management Plan was established, serving as a tool for enabling digital preservation in eScience research projects. We claim risk management can be jointly used with a Data Management Plan, so new risks and challenges can be easily tackled. Therefore, we propose an analysis process for eScience projects using a Data Management Plan and ISO 31000 in order to create a Risk Management Plan that can complement the Data Management Plan. The motivation, requirements and validation of this proposal are explored in the MetaGen-FRAME project, focused in Metagenomics.

  18. Overview of Risk Management for Engineered Nanomaterials

    International Nuclear Information System (INIS)

    Schulte, P A; Geraci, C L; Hodson, L L; Zumwalde, R D; Kuempel, E D; Murashov, V; Martinez, K F; Heidel, D S

    2013-01-01

    Occupational exposure to engineered nanomaterials (ENMs) is considered a new and challenging occurrence. Preliminary information from laboratory studies indicates that workers exposed to some kinds of ENMs could be at risk of adverse health effects. To protect the nanomaterial workforce, a precautionary risk management approach is warranted and given the newness of ENMs and emergence of nanotechnology, a naturalistic view of risk management is useful. Employers have the primary responsibility for providing a safe and healthy workplace. This is achieved by identifying and managing risks which include recognition of hazards, assessing exposures, characterizing actual risk, and implementing measures to control those risks. Following traditional risk management models for nanomaterials is challenging because of uncertainties about the nature of hazards, issues in exposure assessment, questions about appropriate control methods, and lack of occupational exposure limits (OELs) or nano-specific regulations. In the absence of OELs specific for nanomaterials, a precautionary approach has been recommended in many countries. The precautionary approach entails minimizing exposures by using engineering controls and personal protective equipment (PPE). Generally, risk management utilizes the hierarchy of controls. Ideally, risk management for nanomaterials should be part of an enterprise-wide risk management program or system and this should include both risk control and a medical surveillance program that assesses the frequency of adverse effects among groups of workers exposed to nanomaterials. In some cases, the medical surveillance could include medical screening of individual workers to detect early signs of work-related illnesses. All medical surveillance should be used to assess the effectiveness of risk management; however, medical surveillance should be considered as a second line of defense to ensure that implemented risk management practices are effective.

  19. Overview of Risk Management for Engineered Nanomaterials

    Science.gov (United States)

    Schulte, P. A.; Geraci, C. L.; Hodson, L. L.; Zumwalde, R. D.; Kuempel, E. D.; Murashov, V.; Martinez, K. F.; Heidel, D. S.

    2013-04-01

    Occupational exposure to engineered nanomaterials (ENMs) is considered a new and challenging occurrence. Preliminary information from laboratory studies indicates that workers exposed to some kinds of ENMs could be at risk of adverse health effects. To protect the nanomaterial workforce, a precautionary risk management approach is warranted and given the newness of ENMs and emergence of nanotechnology, a naturalistic view of risk management is useful. Employers have the primary responsibility for providing a safe and healthy workplace. This is achieved by identifying and managing risks which include recognition of hazards, assessing exposures, characterizing actual risk, and implementing measures to control those risks. Following traditional risk management models for nanomaterials is challenging because of uncertainties about the nature of hazards, issues in exposure assessment, questions about appropriate control methods, and lack of occupational exposure limits (OELs) or nano-specific regulations. In the absence of OELs specific for nanomaterials, a precautionary approach has been recommended in many countries. The precautionary approach entails minimizing exposures by using engineering controls and personal protective equipment (PPE). Generally, risk management utilizes the hierarchy of controls. Ideally, risk management for nanomaterials should be part of an enterprise-wide risk management program or system and this should include both risk control and a medical surveillance program that assesses the frequency of adverse effects among groups of workers exposed to nanomaterials. In some cases, the medical surveillance could include medical screening of individual workers to detect early signs of work-related illnesses. All medical surveillance should be used to assess the effectiveness of risk management; however, medical surveillance should be considered as a second line of defense to ensure that implemented risk management practices are effective.

  20. Model risk analysis for risk management and option pricing

    NARCIS (Netherlands)

    Kerkhof, F.L.J.

    2003-01-01

    Due to the growing complexity of products in financial markets, market participants rely more and more on quantitative models for trading and risk management decisions. This introduces a fairly new type of risk, namely, model risk. In the first part of this thesis we investigate the quantitative

  1. Conflict management styles, emotional intelligence and implicit theories of personality of nursing students: a cross-sectional study.

    Science.gov (United States)

    Chan, Joanne C Y; Sit, Emily N M; Lau, W M

    2014-06-01

    Conflict management is an essential skill that nursing students need to master as conflict is unavoidable in clinical settings. Examining nursing students' conflict management styles and the associating factors can inform nurse educators on how to equip nursing students for effective conflict management. This study aimed at examining undergraduate nursing students conflict management styles in managing conflict with their supervisors in clinical placement. The associations of emotional intelligence and implicit theories of personality with conflict management styles were also investigated. This is a cross-sectional quantitative survey. This study took place at a nursing school at a university in Hong Kong. 568 undergraduate nursing students participated in the study. Students completed a questionnaire which consisted of demographics, Measure of Implicit Theories of Personality, The Schutte Emotional Intelligence Scale (SEIS) and The Rahim Organizational Conflict Inventory-II (ROCI-II) and received a HKD 20 book coupon as compensation. The data were analyzed by descriptive statistics, reliability analyses, t-tests, correlational and linear regression analyses. For managing conflict with clinical supervisors, students used obliging and integrating most frequently whereas used dominating least. Emotional intelligence was a significant predictor of all five conflict management styles. The higher the emotional intelligence, the more students used integrating, obliging, compromising and dominating. The lower the emotional intelligence, the more students used avoiding. There was a significant association between implicit theories of personality and compromising. The less malleable students perceived personality to be, the more they used compromising. Emotional intelligence was significantly associated with all five conflict management styles while implicit theories of personality were significantly associated with compromising style only. Efforts of nurse educators to

  2. [Does clinical risk management require a structured conflict management?].

    Science.gov (United States)

    Neumann, Stefan

    2015-01-01

    A key element of clinical risk management is the analysis of errors causing near misses or patient damage. After analyzing the causes and circumstances, measures for process improvement have to be taken. Process management, human resource development and other established methods are used. If an interpersonal conflict is a contributory factor to the error, there is usually no structured conflict management available which includes selection criteria for various methods of conflict processing. The European University Viadrina in Frankfurt (Oder) has created a process model for introducing a structured conflict management system which is suitable for hospitals and could fill the gap in the methodological spectrum of clinical risk management. There is initial evidence that a structured conflict management reduces staff fluctuation and hidden conflict costs. This article should be understood as an impulse for discussion on to what extent the range of methods of clinical risk management should be complemented by conflict management.

  3. ANALYSIS AND MANAGEMENT RISK IN INTERNATIONAL AFFAIRS

    OpenAIRE

    Lăpăduşi Mihaela Loredana,; Căruntu Constantin

    2009-01-01

    The risk is one of the most controversial issues for all persons involved both in domestic and international world economic affairs. The need to analyze, understand and effectively manage risk is growing, the ultimate aim being to obtain a higher degree of successThe risk means exposure to an uncertain future, the opportunity to face danger or suffering a loss ( "Risk - possibility of loss or injury", Webster's, 1995) or the chance that things go wrong ( "Risk is the change that something wil...

  4. Managing flood risks in the Mekong Delta

    NARCIS (Netherlands)

    Hoang, Long Phi; Biesbroek, Robbert; Tri, Van Pham Dang; Kummu, Matti; Vliet, van Michelle T.H.; Leemans, Rik; Kabat, Pavel; Ludwig, Fulco

    2018-01-01

    Climate change and accelerating socioeconomic developments increasingly challenge flood-risk management in the Vietnamese Mekong River Delta—a typical large, economically dynamic and highly vulnerable delta. This study identifies and addresses the emerging challenges for flood-risk management.

  5. Hog Producers' Risk Management Attitudes and Desire for Additional Risk Management Education

    OpenAIRE

    Patrick, George F.; Peiter, Amy J.; Knight, Thomas O.; Coble, Keith H.; Baquet, Alan E.

    2007-01-01

    Hog producers in Indiana and Nebraska were surveyed about sources of risk, effectiveness of risk management strategies, and prior participation in and desire for additional risk management education. Ownership of hogs by the producer, size of the operation, and age did have significant effects on ratings of both sources of risk and effectiveness of risk management strategies. Probit analysis found age, prior attendance, knowledge and prior use of the tool, level of integration, and concern ab...

  6. Large dams and risk management

    International Nuclear Information System (INIS)

    Cazelais, N.

    2003-01-01

    In July 1996, Quebec's Saguenay region was subjected to intensive rainfall which caused severe floods and uncontrolled release of several reservoirs, resulting in extensive damage to dam structures and reservoirs. The probability of occurrence for that disaster was 1:10,000. Following the disaster, the Quebec government established a dam management body entitled the Commission scientifique et technique sur la gestion des barrages, which pointed out several safety shortcomings of existing dams. Many were either very old or had undergone significant function change without being subsequently re-evaluated. A report by the Commission stated that damage following the floods could have been limited if the design and operating standards of the dams had been more stringent. A Dam Safety Act was adopted by the Quebec National Assembly on May 30, 2000 following recommendations to retain safer structures. The Act demands regular reporting of operating procedures. Seismic activity was noted as being a topic that requires in-depth examination since Quebec's St. Lawrence Valley, particularly the Charlevoix region, is one of Canada's largest seismic zones. The other is on the west coast in British Columbia. Earthquakes in Quebec are less intense than the ones in British Columbia, but they have higher frequency content which exerts a quasi-resonance wave effect which impacts roads, bridges, buildings and hydroelectric generating facilities. Hydro-Quebec is a public utility which owns 563 retaining structures, of which 228 are ranked as large dams that measure more than 15 metres high, 400 metres long and with a reservoir capacity of more than 1 million cubic metres of water. Hydro-Quebec addresses hydrological, seismic, technological and human risks through a dam safety procedure that includes structured plans for choosing best alternatives through staged exercises. Hazard levels are minimized through the adoption of emergency, prevention and alleviation measures. The utility

  7. Radiation monitoring of nuclear census intelligent data management and mobile monitoring data acquisition system

    International Nuclear Information System (INIS)

    Huang Libin; Zhong Zhijing; Zhou Yinhang; Guo Hongbo

    2014-01-01

    The system, employing advanced intelligent terminal, mobile applications, database technology, can achieve all kinds of field monitoring, mobile radiation monitoring data collected for laboratory analysis; employing GPS technology, can achieve the geographic information of the radiation monitoring data, time tagging and other anti-cheating measures; the system also established a mass database management system; the system is suitable for all types of nuclear-related units with special adaptive functions; system will be extended to GIS-based management capabilities of nuclear contamination distribution in latter stage. (authors)

  8. Environmental asset management: Risk management systems

    CSIR Research Space (South Africa)

    Naudé, Brian

    2017-07-01

    Full Text Available bnaude@csir.co.za Charl Petzer Council for Scientific and Industrial Research PO Box 395 Pretoria 0001 South Africa +2712 841 4292 CPetzer1@csir.co.za Copyright © 2017 by B Naudé, C Petzer. Published and used by INCOSE with permission.... Charl Petzer is registered professional engineer with 30 years of programme/project management as well as systems engineering experience in military and other environments. He has been the lead systems engineer, as well as programme manager on several...

  9. RISK MANAGEMENT PROCESSES IN SUPPLY CHAINS

    Directory of Open Access Journals (Sweden)

    Aleksandar Aleksić

    2009-06-01

    Full Text Available One of the keys of successful business last few years is effective dealing with risks in every meaning of that word. At the time when the world economic crisis largely limits business, successful Risk management is the only way of survival for a large number of business systems. This paper will present the processes of risk management in supply chains that are in accordance with the standards ISO 28000 and ISO 31000. By implementing a holistic, enterprise-wide supply chain risk management program, companies also can uphold their commitment to providing strong corporate governance on behalf of stakeholders and increase their market value.

  10. Strategic Risk Management and Corporate Value Creation

    DEFF Research Database (Denmark)

    Andersen, Torben Juul; Roggi, Oliviero

    Major corporate failures, periodic recessions, regional debt crises and volatile markets have intensified the focus on corporate risk management as the means to deal better with turbulent business conditions. Hence, the ability to respond effectively to the often dramatic environmental changes...... is considered an important source of competitive advantage. However, surprisingly little research has analyzed if the presumed advantages of effective risk management lead to superior performance or assessed important antecedents of effective risk management capabilities. Here we present a comprehensive study...... of risk management effectiveness and the relationship to corporate performance based on panel data for more than 3,400 firms accounting for over 33,500 annual observations during the turbulent period 1991-2010. Determining effective risk management as the ability to reduce earnings and cash flow...

  11. Probabilistic risk assessment: A look at the role of artificial intelligence

    International Nuclear Information System (INIS)

    Wang, J.; Modarres, M.; Hunt, R.N.M.

    1988-01-01

    A review of traditional Probabilistic Risk Assessment (PRA) methods used in the nuclear power industry is presented. The shortcomings of the current PRA methods are pointed out. A method of performing a PRA is proposed and is computerized. The role of artificial intelligence in developing and performing the proposed PRA approach is discussed. The proposed PRA approach is verified by comparing the results to previously performed PRAs. The comparisons have supported the adequacy and completeness of the results of the proposed model. A discussion of how the proposed method can be used as an expert system to verify plant status following loss of plant hardware is also presented. (orig.)

  12. Risk, innovation and change : design propositions for implementing risk management in organizations

    NARCIS (Netherlands)

    van Staveren, Martinus Theodorus

    2009-01-01

    This Ph.D. research generated unique design propositions for implementing existing risk management methodologies in organizations. The resulting design propositions incorporate a synthesis of risk management, innovation management and change management. True implementation of risk management is

  13. Intelligent data management for real-time spacecraft monitoring

    Science.gov (United States)

    Schwuttke, Ursula M.; Gasser, Les; Abramson, Bruce

    1992-01-01

    Real-time AI systems have begun to address the challenge of restructuring problem solving to meet real-time constraints by making key trade-offs that pursue less than optimal strategies with minimal impact on system goals. Several approaches for adapting to dynamic changes in system operating conditions are known. However, simultaneously adapting system decision criteria in a principled way has been difficult. Towards this end, a general technique for dynamically making such trade-offs using a combination of decision theory and domain knowledge has been developed. Multi-attribute utility theory (MAUT), a decision theoretic approach for making one-time decisions is discussed and dynamic trade-off evaluation is described as a knowledge-based extension of MAUT that is suitable for highly dynamic real-time environments, and provides an example of dynamic trade-off evaluation applied to a specific data management trade-off in a real-world spacecraft monitoring application.

  14. An Intelligent Parking Management System for Urban Areas.

    Science.gov (United States)

    Vera-Gómez, Juan A; Quesada-Arencibia, Alexis; García, Carmelo R; Suárez Moreno, Raúl; Guerra Hernández, Fernando

    2016-06-21

    In this article we describe a low-cost, minimally-intrusive system for the efficient management of parking spaces on both public roads and controlled zones. This system is based on wireless networks of photoelectric sensors that are deployed on the access roads into and out of these areas. The sensors detect the passage of vehicles on these roads and communicate this information to a data centre, thus making it possible to know the number of vehicles in the controlled zone and the occupancy levels in real-time. This information may be communicated to drivers to facilitate their search for a parking space and to authorities so that they may take steps to control traffic when congestion is detected.

  15. Wireless Intelligent Sensors Management Application Protocol-WISMAP

    Directory of Open Access Journals (Sweden)

    Antonio Jesus Yuste-Delgado

    2010-09-01

    Full Text Available Although many recent studies have focused on the development of new applications for wireless sensor networks, less attention has been paid to knowledge-based sensor nodes. The objective of this work is the development in a real network of a new distributed system in which every sensor node can execute a set of applications, such as fuzzy ruled-base systems, measures, and actions. The sensor software is based on a multi-agent structure that is composed of three components: management, application control, and communication agents; a service interface, which provides applications the abstraction of sensor hardware and other components; and an application layer protocol. The results show the effectiveness of the communication protocol and that the proposed system is suitable for a wide range of applications. As real world applications, this work presents an example of a fuzzy rule-based system and a noise pollution monitoring application that obtains a fuzzy noise indicator.

  16. Design for interaction between humans and intelligent systems during real-time fault management

    Science.gov (United States)

    Malin, Jane T.; Schreckenghost, Debra L.; Thronesbery, Carroll G.

    1992-01-01

    Initial results are reported to provide guidance and assistance for designers of intelligent systems and their human interfaces. The objective is to achieve more effective human-computer interaction (HCI) for real time fault management support systems. Studies of the development of intelligent fault management systems within NASA have resulted in a new perspective of the user. If the user is viewed as one of the subsystems in a heterogeneous, distributed system, system design becomes the design of a flexible architecture for accomplishing system tasks with both human and computer agents. HCI requirements and design should be distinguished from user interface (displays and controls) requirements and design. Effective HCI design for multi-agent systems requires explicit identification of activities and information that support coordination and communication between agents. The effects are characterized of HCI design on overall system design and approaches are identified to addressing HCI requirements in system design. The results include definition of (1) guidance based on information level requirements analysis of HCI, (2) high level requirements for a design methodology that integrates the HCI perspective into system design, and (3) requirements for embedding HCI design tools into intelligent system development environments.

  17. Automated business process management – in times of digital transformation using machine learning or artificial intelligence

    Directory of Open Access Journals (Sweden)

    Paschek Daniel

    2017-01-01

    Full Text Available The continuous optimization of business processes is still a challenge for companies. In times of digital transformation, faster changing internal and external framework conditions and new customer expectations for fastest delivery and best quality of goods and many more, companies should set up their internal process at the best way. But what to do if framework conditions changed unexpectedly? The purpose of the paper is to analyse how the digital transformation will impact the Business Process Management (BPM while using methods like machine learning or artificial intelligence. Therefore, the core components will be explained, compared and set up in relation. To identify application areas interviews and analysis will be held up with digital companies. The finding of the paper will be recommendation for action in the field of BPM and process optimization through machine learning and artificial intelligence. The Approach of optimizing and management processes via machine learning and artificial intelligence will support companies to decide which tool will be the best for automated BPM.

  18. 78 FR 4848 - Social Media: Consumer Compliance Risk Management Guidance

    Science.gov (United States)

    2013-01-23

    ...: Consumer Compliance Risk Management Guidance AGENCY: Federal Financial Institutions Examination Council... Media: Consumer Compliance Risk Management Guidance'' (guidance). Upon completion of the guidance, and... management practices adequately address the consumer compliance and legal risks, as well as related risks...

  19. Risk assessment and management logistics chains

    Directory of Open Access Journals (Sweden)

    Vladimir Vikulov

    2014-03-01

    Full Text Available Background: In the context of economic globalization and increasing complexity of economic relations enterprises need methods and techniques to improve and sustain their position on the global market. Integration processes offer business new opportunities, but at the same time present new challenges for the management, including the key objectives of the risk management. Method: On the basis of analysis tools known from the pertinent literature (Supply Chain Management and Supply Chain Risk Management methods, methods of probability theory, methods of risk management, methods of statistics the authors of this paper proposed their own risk assessment method and the method of management of logistics chains. The proposed tool is a specific hybrid of solutions known from the literature. Results: The presented method has been successfully used within the frames of economic-mathematical model of industrial enterprises. Indicators of supply chain risks, including risks caused by supplier are considered in this paper. Authors formed a method of optimizing the level of supply chain risk in the integration with suppliers and customers. Conclusion: Every organization, which starting the process of integration with supplier and customers, needs to use tools, methodologies and techniques for identification of "weak links" in the supply chain. The proposed method allows to fix risk origin places in various links of the supply chain and to identify "weak links" of a logistic chain that may occur in the future. The method is a useful tool for managing not only risks and risk situations, but also to improve the efficiency of current assets management by providing the ability to optimize the level of risk in the current assets management of the industrial enterprise.

  20. Internal audit risk management in metropolitan municipalities

    Directory of Open Access Journals (Sweden)

    Christo Ackermann

    2016-07-01

    Full Text Available Internal audit functions (IAFs of organisations are regarded as crucial components of the combined assurance model, alongside the audit committee, management and external auditors. The combined assurance model aims at having integrated and aligned assurance in organisations with the overall aim of maximising risk and governance oversight and control efficiencies. In this regard, internal audit plays a crucial role, insofar as it consists of experts in risk, governance and control consultancy who provide assurance to senior management and the audit committee. Audit committees are dependent on internal audit for information and their effectiveness revolves around a strong and well-resourced internal audit function which is able to aid audit committees to meet their oversight responsibilities. There is thus a growing demand for managing risk through the process of risk management and internal audit is in a perfect position to assist with the improvement of such processes. If internal auditors wish to continue being an important aspect of the combined assurance model, they need to address the critical area, amongst others, of risk management as part of their work. If not, it follows that the board, audit committees and other levels of management will remain uninformed on the status of these matters which, in turn, will negatively impact the ability of these stakeholders to discharge their responsibilities. This study therefore focuses on analysing the functioning of IAFs, with specific reference to their risk management mandate. The study followed a mixed method approach to describe internal audits risk management functioning in the big eight metropolitan municipalities in South Africa. The results show that internal audit provide a broad scope of risk management work which assist senior management in the discharge of their responsibilities. However, in the public eye, internal audits risk management functioning is scant