Handbook of ripple effects in the supply chain
Handbook of ripple effects in the supply chain
- 2nd
- Cham Springer 2025
- xxiv, 432 p.
- International Series in Operations Research & Management Science (ISOR, volume 276) .
Table of contents:
Front Matter
Pages i-xxiv
Download chapter PDF
Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov
Pages 1-34
A Multi-Portfolio Approach to Integrated Risk-Averse Planning in Supply Chains Under Disruption Risks
Tadeusz Sawik
Pages 35-64
The Rippling Effect of Supply Chains As Complex Adaptive Non-linear Systems
Virginia L. M. Spiegler, Mohamed M. Naim, Junyi Lin
Pages 65-86
Bullwhip Effect of Multiple Products with Interdependent Product Demands
Srinivasan Raghunathan, Christopher S. Tang, Xiaohang Yue
Pages 87-103
Demand Shocks in Supply Networks: Ripple Effects
Nikolay Osadchiy
Pages 105-118
Performance Impact Analysis of Disruption Propagations in the Supply Chain
Dmitry Ivanov, Alexander Pavlov, Boris Sokolov
Pages 119-138
AI-Powered Supply Chain and Operations Management (SCOM): Capabilities and Challenges
Yuhong Li, Kedong Chen, Jiawei Zhang
Pages 139-165
Supply Chain Plasticity: Reshaping the Future of Risk Management
Ellie C. Falcone, Laharish Guntuka, Steven Carnovale
Pages 167-178
A Model of an Integrated Analytics Decision Support System for Situational Proactive Control of Recovery Processes in Service-Modularized Supply Chain
Dmitry Ivanov, Boris Sokolov, Valerii Zakharov
Pages 179-196
Entropy-Based Analysis and Quantification of Supply Chain Recoverability
Dmitry Ivanov
Pages 197-213
Disruption Tails and Revival Policies in the Supply Chain
Dmitry Ivanov, Maxim Rozhkov
Pages 215-247
Epidemiological Models to Predict Infection Epidemic: A Literature Review
Fatemeh Mirsaeedi, Mohammad Sheikhalishahi, Mehrdad Mohammadi, Dmitry Ivanov
Pages 249-330
Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies
Ajay Das, Simone Gottlieb, Dmitry Ivanov
Pages 331-354
Contingent Sourcing Ripples Considering Hoarding Behaviour Under Supply Disruptions in a Three-Tier Supply Chain
Shanshan Li, Yong He
Pages 355-378
Healthcare Supply Chain Agility and Resilience: A Relational View Perspective
Rameshwar Dubey
Pages 379-405
Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility
Dmitry Ivanov, Alexandre Dolgui, Ajay Das, Boris Sokolov
Pages 407-432
[https://link.springer.com/book/10.1007/978-3-031-85508-5]
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
(https://link.springer.com/book/10.1007/978-3-031-85508-5)
9783031855078
Supply chain management
658.7 / IVA
Table of contents:
Front Matter
Pages i-xxiv
Download chapter PDF
Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov
Pages 1-34
A Multi-Portfolio Approach to Integrated Risk-Averse Planning in Supply Chains Under Disruption Risks
Tadeusz Sawik
Pages 35-64
The Rippling Effect of Supply Chains As Complex Adaptive Non-linear Systems
Virginia L. M. Spiegler, Mohamed M. Naim, Junyi Lin
Pages 65-86
Bullwhip Effect of Multiple Products with Interdependent Product Demands
Srinivasan Raghunathan, Christopher S. Tang, Xiaohang Yue
Pages 87-103
Demand Shocks in Supply Networks: Ripple Effects
Nikolay Osadchiy
Pages 105-118
Performance Impact Analysis of Disruption Propagations in the Supply Chain
Dmitry Ivanov, Alexander Pavlov, Boris Sokolov
Pages 119-138
AI-Powered Supply Chain and Operations Management (SCOM): Capabilities and Challenges
Yuhong Li, Kedong Chen, Jiawei Zhang
Pages 139-165
Supply Chain Plasticity: Reshaping the Future of Risk Management
Ellie C. Falcone, Laharish Guntuka, Steven Carnovale
Pages 167-178
A Model of an Integrated Analytics Decision Support System for Situational Proactive Control of Recovery Processes in Service-Modularized Supply Chain
Dmitry Ivanov, Boris Sokolov, Valerii Zakharov
Pages 179-196
Entropy-Based Analysis and Quantification of Supply Chain Recoverability
Dmitry Ivanov
Pages 197-213
Disruption Tails and Revival Policies in the Supply Chain
Dmitry Ivanov, Maxim Rozhkov
Pages 215-247
Epidemiological Models to Predict Infection Epidemic: A Literature Review
Fatemeh Mirsaeedi, Mohammad Sheikhalishahi, Mehrdad Mohammadi, Dmitry Ivanov
Pages 249-330
Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies
Ajay Das, Simone Gottlieb, Dmitry Ivanov
Pages 331-354
Contingent Sourcing Ripples Considering Hoarding Behaviour Under Supply Disruptions in a Three-Tier Supply Chain
Shanshan Li, Yong He
Pages 355-378
Healthcare Supply Chain Agility and Resilience: A Relational View Perspective
Rameshwar Dubey
Pages 379-405
Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility
Dmitry Ivanov, Alexandre Dolgui, Ajay Das, Boris Sokolov
Pages 407-432
[https://link.springer.com/book/10.1007/978-3-031-85508-5]
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
(https://link.springer.com/book/10.1007/978-3-031-85508-5)
9783031855078
Supply chain management
658.7 / IVA