This book presents a comprehensive examination of emerging digital innovations and their implications for supply chain management. Bridging theory and application, this book provides valuable insights into how technological advancements are influencing practice, policy, and research across global supply networks. The book begins with an overview of emerging technologies and their practical applications in supply chains. It then explores the use of blockchain to enhance traceability and observability, followed by a detailed look at data-driven analytics for building resilient and adaptive supply chains. The final section focuses on the transformative role of artificial intelligence in optimizing supply chain operations.

This book can be used as an essential source for students and scholars who are interested in pursuing research or teaching courses on the rapidly evolving field of digital transformation in supply chains. It also provides valuable insights for managers and practitioners seeking to enhance their knowledge and effectively navigate the digital transformation of their supply chain operations.

Explores the key drivers and initiatives for digital transformation and supply chain Addresses a critical need for a holistic examination of the current trends and future prospects Provides a practical guide to the modelling and optimization of supply chain processes

Autorentext

Dr. Yacob Khojasteh is a Professor of Operations Management at the Graduate School of Global Studies, Sophia University in Tokyo, Japan. He was a Visiting Professor at the Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, in Toronto, Canada, during 2021–2022. He received his Ph.D. in Systems and Information Engineering from the University of Tsukuba, Japan. He is the author or editor of several books, including Supply Chain Risk Mitigation: Strategies, Methods, and Applications (2022, Springer), Supply Chain Risk Management (2018, Springer), Production Management (2017, CRC Press), and Production Control Systems (2016, Springer). He has several years of professional experience in industry and consulting. His research interests include production and operations management, supply chain management, logistics and warehousing, systems modeling and optimization, digital transformation, and business analytics. 

Dr. S.M. Mousavi Jahan Abadi is a Senior Research Manager at FUJIFILM Software Co., Ltd. in Tokyo, Japan, where he has led research and development initiatives for over two decades. His work has focused on advancing technologies in digital transformation, cloud computing, data science, and artificial intelligence, contributing significantly to the innovation of numerous products and solutions. In addition to his corporate leadership, Dr. Mousavi Jahan Abadi possesses deep expertise in Japanese business practices and organizational culture. He holds a Ph.D. in Systems Engineering and, since 2021, he served as an Adjunct Professor at Sophia University in Tokyo, where he teaches undergraduate and graduate courses, including Business Intelligence and Management Information Systems. His combined experience in industry and academia reflects a strong commitment to bridging cutting-edge research with real-world business applications.

Inhalt

Enabling Supply Chain Transformation with Cutting-Edge Digital Tools.- Transforming Supply Chains in the Digital Age: Strategies, Technologies, and Best Practices.- A SCOR-Based Framework for Applying Digital Transformation Technologies in Supply Chain Strategic Decisions.- Transportation 4.0: Leveraging Industry 4.0 Technologies to Enhance Economic, Environmental, and Social Performance.- Semiconductor Supply Chain Change Management: A Semantic Web Based Knowledge Graph.- Blockchain-based Smart Contracting Services for Digital Supply Chain Operations in Crowdsourced Manufacturing.- The Role of Blockchain in Food Supply Chains: Enhancing Traceability.- Application of Blockchain in Reverse Supply Chain.- Harnessing AI and Big Data to Build a Resilient Supply Chain: An Overview.- Data-Driven Proactive Inventory Policies Under Demand and Supply Uncertainty in Global Supply Chains.- Enhancing Supply Chain Resilience Using Digital Twins.- A Framework for Enhancing Supply Chain Resilience Through Metaverse and Blockchain Technologies.- Causal Machine Learning: An Empirical Approach to Supply Chain Management.- Digital Supply Chain Capabilities and Machine Learning Models for Demand Forecasting.- Developing a Framework for Using Generative AI in Product Design.