Fr. 116.00

Introduction to Supply Chain Resilience and Viability - Management, Modelling, Technology

English · Hardback

New edition in preparation, currently unavailable

Description

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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 resilience and viability in more depth, describing the major principles 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 disruptions in a simple, uniform format to make it easy to understand for students and professionals with both management and engineering backgrounds.
In the second edition, existing chapters and their associated references have been updated to incorporate more recent industry examples and publications. Additionally, new topics have been introduced, including supply chain stress testing, resilience assessment, the adaptation-based view of resilience, critical node identification, and immune system-based resilience modeling.
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.

List of contents

1. Supply Chain Risks, Disruptions, and Ripple Effect.- 2. Managing Supply Chain Resilience.- 3. Modeling Supply Chain Resilience.- 4. Measuring Supply Chain Resilience.- 5. Supply Chain Viability.

About the author

Dr. Dmitry Ivanov is a Professor of Supply Chain and Operations Management at Berlin School of Economics and Law (HWR Berlin), Germany. He has taught operations management, supply chain management, and simulation for more than 25 years at undergraduate, graduate, PhD, and executive MBA levels at various universities worldwide. His publication list includes around 480 publications, including more than 180 papers in international academic journals and a leading textbook Global Supply Chain and Operations Management.  His main research interests span supply chain resilience, the ripple effect in supply chains, and digital supply chain twins. He is actively involved in editorial work for leading international journals.

Summary

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 resilience and viability in more depth, describing the major principles 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 disruptions in a simple, uniform format to make it easy to understand for students and professionals with both management and engineering backgrounds.
In the second edition, existing chapters and their associated references have been updated to incorporate more recent industry examples and publications. Additionally, new topics have been introduced, including supply chain stress testing, resilience assessment, the adaptation-based view of resilience, critical node identification, and immune system-based resilience modeling.
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.
 

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