This book offers a concise yet comprehensive introduction to supply chain resilience, covering management, modeling and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management” it addresses the topics of supply chain risks and resilience in more depth, describing the major features of supply chain resilience and explaining methodologies to mitigate supply chain disruptions and recover. Numerous practical examples and short case studies are provided to illustrate theoretical concepts. Without relying heavily on mathematical derivations, the book explains major concepts and methods to build and improve supply chain resilience and tackle supply chain disruption risks in a simple, uniform format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/PhD students and supply chain professionals alike will benefit from the structured, didactically oriented and concise presentation of the concepts, principles and methods of supply chain resilience management, modeling, and technological implementation.
Author(s): Dmitry Ivanov
Series: Classroom Companion: Business
Publisher: Springer
Year: 2021
Language: English
Pages: 163
City: Cham
Preface
Abbreviations
Contents
Author Bio
1: Supply Chain Risks, Disruptions, and Ripple Effect
1.1 Uncertainty and Risk
1.1.1 Definition of Uncertainty
1.1.2 Definition of Risk
1.2 Disruption Risks in Supply Chains
1.2.1 Supply Chain Risks
1.2.2 Definition and Classification of Disruptions
1.3 Ripple Effect in Supply Chains
1.3.1 Definition of the Ripple Effect
1.3.2 Reasons and Countermeasures for the Ripple Effect
1.3.3 Disruption Tails and Overlays: When Ripple Effect and Bullwhip Effects Intersect
1.4 Super Disruptions and Supply Chain Crises: Example of the COVID-19 Pandemic
1.5 Questions and Discussion Points
References
2: Managing Supply Chain Resilience
2.1 Historical Development
2.2 Strategic Understanding of Supply Chain Resilience
2.3 Supply Chain Resilience Framework
2.4 Resilience Capabilities and Recovery Strategies
2.5 Framework of Resilience Capacity
2.5.1 Absorptive Capacity
2.5.2 Adaptive Capacity
2.5.3 Restorative Capacity
2.6 Costs and Value of Supply Chain Resilience
2.6.1 LCN (Low-Certainty-Need) Supply Chain Framework
2.6.2 Lean Resilience: The AURA (Active Usage of Resilience Assets) Framework
2.7 Supply Chain Resilience During a Global Pandemic
2.8 Discussion
References
3: Modeling Supply Chain Resilience
3.1 Modeling Methods
3.2 End-to-End Visibility, Digital Technology, and Resilience
3.3 Optimization: Recovery Model of a Multi-stage Supply Chain
3.3.1 Problem Context
3.3.2 Mathematical Model
3.3.2.1 Experimental Results
3.4 Simulation: Ripple Effect Prediction During the COVID-19 Pandemic
3.4.1 Problem Context
3.4.2 Simulation Model
3.4.3 Managerial Insights
References
4: Measuring Supply Chain Resilience
4.1 Measures of Supply Chain Resilience
4.2 Complexity Theory: Entropy-Based Assessment of Supply Chain Adaptability
4.2.1 Definition of Supply Chain Adaptability
4.2.2 Quantitative Estimation of Supply Chain Adaptability: Basic Computation
4.2.3 Quantitative Assessment of Supply Chain Adaptability: An Extension
4.3 Measuring Supply Chain Resilience Using Bayesian Networks
4.3.1 Problem Context
4.3.2 Methodology of Bayesian Networks
4.3.3 Resilience Metric
4.4 Ripple Effect Exposure Quantification
4.5 Network Design Characteristics and Their Relations to Supply Chain Resilience
4.6 Discussion
References
5: Supply Chain Viability
5.1 System-Theoretic Foundations of Supply Chain Resilience and Viability: Multi-Structural Dynamics
5.2 Viable Supply Chain
5.2.1 Supply Chain Viability
5.2.2 Viable Supply Chain Model
5.3 Intertwined Supply Networks and Their Viability
5.4 Viability and Adaptation of Supply Chains: The Climate Change Challenge
5.5 Discussion
References
Index
