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This textbook offers an introduction to supply chain digital twins in a concise but comprehensive form covering management, modeling and technology perspectives. It is designed as a supplementary satellite book for textbook Global Supply Chain and Operations Management advancing the topics of the digital supply chain. The book aims at delineating major design principles and technologies and explaining methodologies for supply chain analytics in digital twins. Throughout the book, numerous practical examples and short case-studies will be provided to illustrate theoretical concepts. It also reviews and explains novel frameworks and concepts related to digital ecosystems, artificial intelligence, and simulation.
The book provides a structured presentation and explanation of major concepts, methods, and digital technologies for building or improving supply chain digital twins in a simple and predictable format, making it accessible to students and professionals with backgrounds in management or engineering. Application scenarios are considered, such as using digital twins for stress testing of supply chain resilience as well as building agricultural digital ecosystems.
Graduate and PhD students, as well as supply chain professionals, will benefit from the book s structured and didactically oriented presentation of the concepts, principles, and methods behind digital twins. By equipping readers with practical knowledge of contemporary theories and technologies, the book supports both academic learning and the development of digital supply chains in practice.
List of contents
1. Supply chain digital twin: what is it?.- 2. Digital twin analytics.- 3. Digital technology.- 4. Building a digital twin: Design and Organization.- 5. Examples of digital twins in supply chains.
About the author
Dmitry Ivanov is professor of supply chain and operations management at Berlin School of Economics and Law (HWR Berlin), Germany. His publication list includes around 460 publications, including 160 papers in international academic journals and a leading textbook
Global Supply Chain and Operations Management
. His main research interests and results span the supply chain resilience and ripple effect control in supply chains, digital supply chain twins, and supply chain viability. He is actively involved with editorial work in leading international journals.
Summary
This textbook offers an introduction to supply chain digital twins and AI in a concise but comprehensive form covering management, modeling and technology perspectives. It is designed as a supplementary satellite book for textbook “Global Supply Chain and Operations Management” advancing the topics of the digital supply chain. The book aims at delineating major design principles and technologies and explaining methodologies for supply chain analytics in digital twins. Throughout the book, numerous practical examples and short case-studies are provided to illustrate theoretical concepts. It also reviews and explains novel frameworks and concepts related to digital ecosystems and agentic AI.
The book provides a structured presentation and explanation of major concepts, methods, and digital technologies for building or improving supply chain digital twins in a simple and predictable format, making it accessible to students and professionals with backgrounds in management or engineering. Application scenarios are considered, such as using digital twins for stress testing of supply chain resilience as well as building digital twins in automotive industry.
Graduate and PhD students, as well as supply chain professionals, will benefit from the book’s structured and didactically oriented presentation of the concepts, principles, and methods behind digital twins. By equipping readers with practical knowledge of contemporary theories and technologies, the book supports both academic learning and the development of digital supply chains in practice.
