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Fuzzy Optimization Multi Criteria Decision (23 results)
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2014 in the subject Mathematics - Applied Mathematics, grade: A+, Mälardalen University, language: English, abstract: The main goal of this project is to explore the use of stochastic simulation, genetic algorithms, fuzzy decision making and other tools for solving complex maintenance planning optimization problems. We use two different maintenance activities, corrective maintenance and preventive maintenance. Since the evaluation of specifc candidate maintenance policies can take a long time to execute and the problem of finding the optimal policy is both non-linear and non-convex, we propose the use of genetic algorithms (GA) for the optimization. The main task of the GA is to find the optimal maintenance policy, which involves: (1) the probability of breakdown, (2) calculation of the cost of corrective maintenance, (3) calculation of the cost of preventive maintenance and (4) calculation of ROI (Return On Investment). Another goal of this project is to create a decision making model for multi-criteria systems. To find a near-optimal maintenance policy, we need to have an overview over the health status of the system components. To model the health of a component we should find all the operational criteria that affect it. We also need to analyze alternative maintenance activities in order to make the best maintenance decisions. In order to do that, the TOPSIS method and fuzzy decision making has been used. To evaluate the proposed methodology, internal combustion engine cooling of a typical Scania truck was used as a case study.
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Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing
Published by Business Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
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Add to basketTaschenbuch. Condition: Neu. Solving Complex Maintenance Planning Optimization Problems Using Stochastic Simulation and Multi-Criteria Fuzzy Decision Making | Sahar Tahvili | Taschenbuch | 108 S. | Englisch | 2014 | GRIN Verlag | EAN 9783656756187 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments (Springer Optimization and Its Applications, 16)
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Fuzzy Optimization and Multi-criteria Decision Making in Digital Marketing
Published by Business Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
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Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments (Springer Optimization and Its Applications, 16)
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Fuzzy Optimization and Multi-criteria Decision Making in Digital Marketing
Published by Business Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
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Fuzzy Optimization and Multi-criteria Decision Making in Digital Marketing
Published by Business Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
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Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing
Published by Information Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
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Solving Complex Maintenance Planning Optimization Problems Using Stochastic Simulation and Multi-Criteria Fuzzy Decision Making
Published by GRIN Verlag Okt 2014, 2014
ISBN 10: 365675618X ISBN 13: 9783656756187
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2014 in the subject Mathematics - Applied Mathematics, grade: A+, Mälardalen University, language: English, abstract: The main goal of this project is to explore the use of stochastic simulation, genetic algorithms, fuzzy decision making and other tools for solving complex maintenance planning optimization problems. We use two different maintenance activities, corrective maintenance and preventive maintenance. Since the evaluation of specifc candidate maintenance policies can take a long time to execute and the problem of finding the optimal policy is both non-linear and non-convex, we propose the use of genetic algorithms (GA) for the optimization. The main task of the GA is to find the optimal maintenance policy, which involves: (1) the probability of breakdown, (2) calculation of the cost of corrective maintenance, (3) calculation of the cost of preventive maintenance and (4) calculation of ROI (Return On Investment). Another goal of this project is to create a decision making model for multi-criteria systems. To find a near-optimal maintenance policy, we need to have an overview over the health status of the system components. To model the health of a component we should find all the operational criteria that affect it. We also need to analyze alternative maintenance activities in order to make the best maintenance decisions. In order to do that, the TOPSIS method and fuzzy decision making has been used. To evaluate the proposed methodology, internal combustion engine cooling of a typical Scania truck was used as a case study. 108 pp. Englisch.
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Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing
Published by Business Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
£ 191.89
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment. This research-focused publication features discussions on several key concepts useful for modern business professionals including dec.
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Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing
Published by Business Science Reference, 2015
ISBN 10: 1466688084 ISBN 13: 9781466688087
Language: English
£ 239.46
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The decision-making process has become a challenge in modern organizations due to increased access to information and large data sets. When considering single-criteria problems, the decision making process is extremely intuitive. On the other hand, multi-criteria decision making, which involves several factors, requires further consideration and more sophisticated methods. Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment. Presenting timely research and case studies on practical implementation of such theories in the digital marketplace, this publication is designed for use by business professionals, executives, graduate-level students, and researchers. This research-focused publication features discussions on several key concepts useful for modern business professionals including decision-making models and fuzzy theory applied to internet marketing, consumer behavior, and the optimization of strategic marketing plans.
