Full Description
This book highlights the major features of the ripple effect and introduces methodologies to mitigate its adverse impact on supply chain resilience and to recover from severe disruptions. It brings fresh insights into the fields of supply chain management and engineering, addressing three fundamental questions: "In what circumstance does one failure trigger others?" "Which supply chain structures are especially susceptible to the ripple effect?" "What are the typical ripple effect scenarios and the most efficient ways to respond to them?"
In this new edition, recent advancements are incorporated, particularly in areas such as supply chain viability, digital supply chains, artificial intelligence, and epidemiological models. Furthermore, it introduces new methodologies with a particular emphasis on data-driven and AI-based approaches.
This comprehensive book provides innovative optimization and simulation models to address real-world challenges. With examples from industrial and service sectors, it offers actionable decision-making recommendations for tackling disruption risks in the supply chain proactively and reactively. As such the book is a comprehensive source for diverse readerships.
Contents
Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives.- A Multi-portfolio Approach to Integrated Risk-Averse Planning in Supply Chains Under Disruption Risks.- The rippling effect of supply chains as complex adaptive non-linear systems.- Bullwhip Effect of Multiple Products with Interdependent Product Demands.- Demand Shocks in Supply Networks: Ripple Effects.- Performance Impact Analysis of Disruption Propagations in the Supply Chain.- AI-Powered Supply Chain and Operations Management (SCOM): Capabilities and Challenges.- Supply chain plasticity: reshaping the future of risk management.- A Model of an Integrated Analytics Decision Support System for Situational Proactive Control of Recovery Processes in Service-Modularized Supply Chain.- Entropy-Based Analysis and Quantification of Supply Chain Recoverability.- Disruption Tails and Revival Policies in the Supply Chain.- Epidemiological Models to Predict Infection Epidemic: A Literature Review.- Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies.- Contingent sourcing ripples considering hoarding behaviour under supply disruptions in a three-tier supply chain.- Healthcare Supply Chain Agility and Resilience: A Relational View Perspective.- Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.
