Overview

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.

Full Product Details

Author:   Jingzheng Ren
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1
Weight:   0.403kg
ISBN:  

9783030781545

ISBN 10:   3030781542
Pages:   252
Publication Date:   14 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Risk assessment: indicators and organizational models Chapter 2: An integrated Bayesian BWM and classifiable TOPSIS model for risk assessment Chapter 3: A modified risk prioritization approach using best-worst method Chapter 4: Fuzzy Risk Assessment In the Presence of Uncertainties in Heterogeneous Preferences Elicitation and Reliability   Chapter 5: Assessment of COVID-19 transmission risk through fuzzy inference system; an application for mining activities Chapter 6: Simulation Output Analysis for Risk Assessment and Mitigation Chapter 7: Cause-Effect Analysis, Barriers Identification and Policy Implications for China’s Energy Security Chapter 8: Quantitative Risk Assessment and Management of Cash-in-Transit Vehicle Routing Problems Chapter 9: Mitigating Energy Supply Risks: Factors Identification and Pathway Selection for China’s Renewable Energy Development Fuzzy PROMETHEE Chapter 10: Sustainability risks of resource-exhausted cities in China: A principal component analysis

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Author Information

Dr. Jingzheng Ren is currently An Assistant Professor at The Hong Kong Polytechnic University and an Honorary Associate Professor at University of Southern Denmark.  His research mainly focused on operations management for energy, environment and sustainability.

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