Overview
- The frontiers of multi-criteria decision analysis methods for risk assessment and management are presented
- Risk assessment and management methods are integrated in this book
- Examples with multi-stakeholder, multi-dimensional and multi-scale are illustrated in this book
Part of the book series: Industrial Ecology and Environmental Management (IEEM, volume 1)
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Table of contents(10 chapters)
About this book
This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book.
There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities.
The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.Editors and Affiliations
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Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Jingzheng Ren
About the editor
Bibliographic Information
Book Title: Multi-Criteria Decision Analysis for Risk Assessment and Management
Editors: Jingzheng Ren
Series Title: Industrial Ecology and Environmental Management
DOI: https://doi.org/10.1007/978-3-030-78152-1
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-78151-4Published: 14 November 2021
Softcover ISBN: 978-3-030-78154-5Published: 14 November 2022
eBook ISBN: 978-3-030-78152-1Published: 13 November 2021
Series ISSN: 2730-6070
Series E-ISSN: 2730-6089
Edition Number: 1
Number of Pages: VIII, 252
Number of Illustrations: 17 b/w illustrations, 36 illustrations in colour
Topics: Science, multidisciplinary, Risk Management, Engineering Economics, Organization, Logistics, Marketing