Introduction to Supply Chain Digital Twins and AI: DE (Classroom Companion: Business) - Hardcover

Ivanov, Dmitry

Hardcover

ISBN 10: 3032169739 ISBN 13: 9783032169730

Verlag: Springer, 2026

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 3032169739
• ISBN 13: 9783032169730
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 122
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland