The Digital Supply Chain

How Advanced Technologies, AI and Analytics are Changing Supply Chains

Häftad, Engelska, 2027

1 859 kr

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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.

Includes up-to-date, critical insights on the design, management, and control of digitally connected supply chains
Combines digital and IT connectivity with supply chain management, highlighting the technologies, systems, and platforms that enable digital supply chain connectivity
Examines the opportunities, challenges, and constraints in designing and managing digitally connected supply chains across multiple sectors
Covers many of the hot topics of current interest to supply chain researchers and practitioners, including blockchain, the cloud, platforms, digital twins, analytics, and supply chain network analysis

Produktinformation

Utgivningsdatum2027-09-01
Mått216 x 276 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor500
Upplaga2
FörlagElsevier Science
ISBN9780443441431

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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. 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.

Part I: Introduction1. The Digital Supply Chain—Emergence, concepts, definitions, and technologiesPart II: Digital building blocks and enabling technologies2. Digital Manufacturing and Smart Factories: From Computer-Integrated Manufacturing to Interoperable, AI-Enabled Manufacturing Ecosystems3. Smart Warehouses: Next-Generation Fulfilment in Digital Supply Networks4. Supply Chain Digital Twins: Concepts and models5. Algorithms, Analytics and Artificial Intelligence in Supply Chain Management -How AI Augments Conventional Models6. Digital Ecosystems for the Supply Chain - The Cloud, Platforms and Enterprise Systems7. The Impact of Digitalisation and AI on Contemporary and Future Logistics SystemsPart III: Managing the Digital Supply Chain8. Digital Architectures: Frameworks for Managing Data and Information in Digital and AI-Enabled Supply Chain Ecosystems9. The Transformation of Procurement: Digital procurement and the role of AI10. Measuring and Managing Digital Supply Chain Performance11. Digital Quality in the Digital Supply Chain: From Inspection to AI-enabled Intelligent Governance12. Robust Supply Chain Traceability Systems – From RFID to AI-assisted Digital Product Passports13. 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 cases14. Digital Retail - Key trends and emerging developments15. Digitalization in the Textiles and Clothing Sectors16. Digitalization in processing, warehousing, and distribution in food supply chains17. Automotive Supply Chain Digitalization: Lessons from the past, future perspectives18. Transforming Service Supply Chains Through Digital Technologies and Intelligent Platforms: Insights from Healthcare and AI19. AI and Machine Learning in Agri-Food Supply Chains: State of the ArtPart V: Research frontiers in the Digital Supply Chain20. Network Science for the Supply Chain: Theory, methods, and empirical results21. Supply Network Discovery and Surveillance22. The Evolution of Blockchain in Digital Supply Chains: From Provenance to Convergence and Autonomous Supply Networks23. Sustainability and the AI-enabled Digital Supply Chain - Advancing the Twin Transition while Minimizing Unintended Harm24. AI-enabled digital technologies, dynamic capabilities, and supply chain viability: reconceptualizing supply chain strategy for the digital era

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