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Presents the most recent research advances in risk analysis, reliability and maintenance (RRM) and MCDM Integrates fundamental concepts from both areas of RRM and decision makingEditors are some of the most influential in the field
Presents advances in risk analysis, reliability and maintenance (RRM) and MCDM Integrates fundamental concepts from both areas of RRM and decision making Includes multiobjective topics such as linear and nonlinear programming
Auteur
Adiel Teixeira de Almeida is currently Full Professor of management engineering at Universidade Federal de Pernambuco, Brazil. He is on the Editorial Board of a number of journals, such as Group Decision and Negotiation, Information Sciences and IMA Journal of Management Mathematics. Professor de Almeida's interests are in decision-making related to multiple objectives and group decision problems, including methodological issues and applications. Love Ekenberg is a Professor in Computer and Systems Sciences at Stockholm University, Kista, Sweden, and he is a Senior Research Scholar at the International Institute for Applied Systems Analysis (IIASA) in Austria. His research interests include risk and decision analysis, logic verification of complex industrial systems, and development cooperation. Philip Scarf is a Professor of Management Mathematics at Cardiff Business School, Cardiff University, UK. He is Co-Editor-in-Chief, IMA Journal of Management Mathematics. His research interests include applying Statistics and Operations Research in reliability and maintenance, manufacturing informatics, autonomous systems, corrosion science, and sports. Enrico Zio is Director of the Chair on Complex Systems and the Energy Challenge at Ecole Centrale Paris and Supelec, Fondation Europeenne pour l'Energie Nouvelle - EdF, France and is a Full Professor in the Energy Department at Politecnico di Milano, Italy. His research interests include the integration of nuclear plant engineering skills, signal security and analysis in the development and application of advanced computational methods and models for evaluating the safety of nuclear components and systems, as well as the operation and safety maintenance of nuclear components and systems. He is the author of five books on reliability and risk assessment. Ming Zuo is a Professor of Mechanical Engineering at the University of Alberta in Edmonton, Canada. His research interests include Reliability Engineering, Vibration Monitoring, Fault Diagnosis, Signal Processing, Condition-Based Maintenance Optimization, and Manufacturing Systems.
Résumé
"The book deals with multicriteria and optimization models with emphasis on solving large-scale problems, which have a real-world application. ... Each book chapter has excellent information, great formulas, stunning figures, numerical examples with good conclusions, and future studies. The book is well written and the presentation is easy to follow. It will be useful to advanced graduate students and researchers dealing with multicriteria and optimization problems ... ." (P. Senthil Kumar, zbMATH 1525.90001, 2024)
Contenu
Chapter 1. Multicriteria Decision Methods for RRM Models.- Chapter 2. Comparing Cardinal and Ordinal Ranking in MCDM Methods.- Chapter 3. Evaluating Multi-Criteria Decisions Under Conditions of Strong Uncertainty.- Chapter 4. A Framework for Building Multicriteria Decision Models with regard to Relia-bility, Risk and Maintenance.- Chapter 5. A Participatory MCDA Approach to Energy Transition Policy Formation.- Chapter 6. A proposition of a multidimensional HAZOP analysis (MHAZOP) to support a decision-making process.- Chapter 7. Multidimensional risk evaluation in natural gas pipelines: contributions from sensitivity analysis and risk visualization to improving the management of risk.- Chapter 8. Multidimensional Decision-Making Process for managing flood risks in postmodern cities: challenges, trends, and sharing insights to construct models that deal with climate changes.- Chapter 9. Multicriteria decision model to support maintenance planning in sewage systems.- Chapter 10. A Multicriteria Model to Determine Maintenance Policy for a Protection System Subject to Imperfect Maintenance.