The Digital Supply Chain

How Advanced Technologies, AI and Analytics Are Changing Supply Chains
2. Auflage 2027
ISBN: 978-0-443-44143-1
Verlag: Elsevier Science

Buch, Englisch, 500 Seiten, Format (B × H): 216 mm x 276 mm, Gewicht: 450 g

The Digital Supply Chain: How Advanced Technologies, AI and Analytics are Changing Supply Chains, Second Edition is a thorough investigation of the underpinning technologies, systems, platforms, and models that enable the design, management, and control of digitally connected supply chains. The book examines the origin, emergence, and building blocks of the Digital Supply Chain, showing how and where the virtual and physical supply chain worlds interact. It reviews the enabling technologies that underpin digitally controlled supply chains and examines how the discipline of supply chain management is affected by enhanced digital connectivity, discussing purchasing and procurement, supply chain traceability, cybersecurity, and more.

The fully updated second edition maintains the core introductory and foundational elements but also addresses many recent developments, such as AI and cloud-based systems, forecasting and demand sensing, digital compliance and cyber-security. It examines how digital connectivity continues to develop, affecting all aspects of supply chain management, from supply chain design and configuration to purchasing and procurement and the management of compliance, sustainability and performance. The state of digital adoption across multiple sectors is examined, including consumer and retail products, food, pharma, textiles and clothing, and the auto-industry.

Autoren/Hrsg.

MacCarthy, Bart L.

Ivanov, Dmitry

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

Part I: Introduction
1. The Digital Supply Chain—Emergence, concepts, definitions, and technologies

Part II: Digital building blocks and enabling technologies
2. Digital Manufacturing and Smart Factories: From Computer-Integrated Manufacturing to Interoperable, AI-Enabled Manufacturing Ecosystems
3. Smart Warehouses: Next-Generation Fulfilment in Digital Supply Networks
4. Supply Chain Digital Twins: Concepts and models
5. Algorithms, Analytics and Artificial Intelligence in Supply Chain Management -How AI Augments Conventional Models
6. Digital Ecosystems for the Supply Chain - The Cloud, Platforms and Enterprise Systems
7. The Impact of Digitalisation and AI on Contemporary and Future Logistics Systems

Part III: Managing the Digital Supply Chain
8. Digital Architectures: Frameworks for Managing Data and Information in Digital and AI-Enabled Supply Chain Ecosystems
9. The Transformation of Procurement: Digital procurement and the role of AI
10. Measuring and Managing Digital Supply Chain Performance
11. Digital Quality in the Digital Supply Chain: From Inspection to AI-enabled Intelligent Governance
12. Robust Supply Chain Traceability Systems – From RFID to AI-assisted Digital Product Passports
13. Supply Chain Cyber Security in the Age of Artificial Intelligence: Detecting and Defending against Continually Evolving Threats and Vulnerabilities

Part IV: Digital Supply Chain - Sectoral cases
14. Digital Retail - Key trends and emerging developments
15. Digitalization in the Textiles and Clothing Sectors
16. Digitalization in processing, warehousing, and distribution in food supply chains
17. Automotive Supply Chain Digitalization: Lessons from the past, future perspectives
18. Transforming Service Supply Chains Through Digital Technologies and Intelligent Platforms: Insights from Healthcare and AI
19. AI and Machine Learning in Agri-Food Supply Chains: State of the Art

Part V: Research frontiers in the Digital Supply Chain
20. Network Science for the Supply Chain: Theory, methods, and empirical results
21. Supply Network Discovery and Surveillance
22. The Evolution of Blockchain in Digital Supply Chains: From Provenance to Convergence and Autonomous Supply Networks
23. Sustainability and the AI-enabled Digital Supply Chain - Advancing the Twin Transition while Minimizing Unintended Harm
24. AI-enabled digital technologies, dynamic capabilities, and supply chain viability: reconceptualizing supply chain strategy for the digital era

Über Autor(innen)

MacCarthy, Bart L.
Bart L. MacCarthy is Professor of Operations Management at Nottingham University Business School. He teaches at Executive, MBA, and Masters levels in operations, supply chain, and project management. His research spans the analysis, modelling, and management of operational systems and supply chains, combining quantitative and qualitative methodologies. Current research interests include the evolution of supply chains, and the impact of digitalization, cloud-based systems, platforms and Blockchain technology on the discipline of Operations and Supply Chain Management. He has published widely in the Operations, Supply Chain, and Management Science literatures. He was Vice-President and Board Member for the Decision Sciences Institute (2020- 2024), was European Editor for the International Journal of Production Economics, and Consulting Editor for the International Journal of Operations and Production Management. He is a Fellow of the Institute of Mathematics and its Applications, the Chartered Institute of Transport and Logistics, and the Institution of Engineering and Technology.

Ivanov, Dmitry
Dmitry Ivanov is Professor of Supply Chain and Operations Management at the Berlin School of Economics and Law. He is Deputy Director and executive board member of Institute for Logistics, and Faculty Director for the MA in Global Supply Chain and Operations Management. He has taught for more than 20 years in operations management, supply chain management, logistics, management information systems, and strategic management at undergraduate, master’s, PhD, and executive MBA levels worldwide. His research explores structural dynamics and control in complex networks, with applications to supply chain resilience, Industry 4.0 systems, supply chain simulation, risk analytics and digital supply chain twins. He has been Chairman, IPC and Advisory Board member for over 50 international conferences in supply chain and operations management, industrial engineering, control and information sciences. Prior to becoming an academic, he was engaged in industry and consulting for process optimization in manufacturing, logistics and ERP systems.