Risk Management in Supply Chains

Regular price €51.99
A01=Kin Keung Lai
A01=Mohammad Heydari
A01=Zhou Xiaohu
analytic hierarchy process
Author_Kin Keung Lai
Author_Mohammad Heydari
Author_Zhou Xiaohu
Behavioral Risk Assessment
Beta Negative Binomial Distribution
catastrophic event response
Category=KJC
Category=KJMV5
Category=KJMV8
Complex Technical Systems
Constant Marginal Utility
construction industry risk
Curve Mu
disaster recovery strategies in logistics
economic risk modelling
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Expected Yield
financial economic decision-making process
High Impact Condition
Indifference Curve
Indifference Curve Analysis
Marginal Utility Analysis
Markowitz's Approach
Markowitz’s Approach
MCDM
Mu
multiple criteria decision making
Predict Risk Behavior
risk assessment
risk management
SCRM
SCRM Literature
Selection Optimization
Self-organized Criticality
Standard Risk Management Process
State Safety Program
supply chain disruptions
supply chain management
Supply Chain Network
supply chain resilience
Supply Chain Risk
Supply Chain Risk Analysis
supply chain risk management
Systems Thinking
Usual Thefts
Vice Versa

Product details

  • ISBN 9781032089447
  • Weight: 620g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Jun 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.