Risk Management in Supply Chains: Using Linear and Non-linear Models / Edition 1

by Mohammad Heydari, Kin Keung Lai, Zhou Xiaohu

Overview

The book examines a relatively unexplored issue in supply chain risk management, which is how long companies specifically take to respond to catastrophic events of low probability but high impact. The book also looks at why such supply chain disruptions are unavoidable, and consequently, all complex supply chains are inherently at risk.

The book illustrates how companies can respond to supply chain disruptions with faster responses and in shorter lead-times to reduce impact. In reducing total response time, designing solutions, and deploying a recovery plan sooner after a disruption in anticipation of such events, companies reduce the impact of disruption risk. The book also explores the basics of multiple-criteria decision-making (MCDM) and analytic hierarchy process (AHP), and how they contribute to both the quality of the financial economic decision-making process and the quality of the resulting decisions. The book illustrates through cases in the construction sector how this industry has become more complex and riskier due to the diverse nature of activities among global companies.

Product Details

ISBN-13:	9780367359515
Publisher:	Taylor & Francis
Publication date:	09/20/2019
Series:	Routledge Advances in Risk Management
Pages:	264
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Mohammad Heydari is a PhD student in Management Science and Engineering at the School of Economics and Management, Nanjing University of Science and Technology, China.

Kin Keung Lai is Professor at the College of Economics, Shenzhen University, China.

Zhou Xiaohu is Professor at the School of Economics and Management, Nanjing University of Science and Technology, China.

Table of Contents

1. Introduction 2. Risks in Economics 3. Models of Risks in Economics 4. Risks in Supply Chain Management 5. Models of Risks in Supply Chain Management 6. Risks in Environmental Management 7. Models of Risks in Environmental Management