Description
The logistics industry has entered a new era of efficiency and intelligence, driven by cutting-edge technologies such as generative AI, digital twins, and autonomous operations. These innovations revolutionize how supply chains are designed, managed, and optimized, enabling real-time decision-making, predictive modeling, and self-directed processes. Generative AI enhances planning and forecasting, digital twins provide continuous monitoring and simulation, and autonomous systems streamline operations. As global supply chains face growing complexity and pressure, the integration of these technologies accelerates the shift toward smarter, more resilient logistics networks.
Accelerating Logistics Through Generative AI, Digital Twins, and Autonomous Operations explores how generative AI, digital twins, and autonomous operations transform the logistics industry by enhancing efficiency, agility, and real-time decision-making. It examines the impact of these technologies on supply chain optimization, operational resilience, and the future of automated logistics systems. This book covers topics such as large language models, robotics, and security and privacy, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.
Author's/Editor's Biography
Abdelrehim Awad (Ed.)
Abdelrehim Nader Awad
is an Associate Professor of Business Administration at the University of Bisha, Saudi Arabia. His academic and research profile spans marketing, management, innovation, and digital business, with a growing focus on artificial intelligence, digital transformation, technological adaptation, and data-driven organizational development. He has published extensively in Scopus- and Web of Science-indexed journals and has edited and contributed to several scholarly books and chapters in areas related to AI, sustainability, branding, supply chains, and knowledge management. His current interests on the application of artificial intelligence and digital technologies to business strategy, marketing, governance, innovation ecosystems, and organizational performance. Alongside his research, he has substantial experience in teaching, supervision, academic leadership, innovation and entrepreneurship initiatives, and quality and accreditation activities in higher education.
Dhafer Al Ahmari (Ed.)
Dhafer Alahmari
Assistant professor, Academic–practitioner in public procurement and supply chain management; leads procurement transformation initiatives and supervises theses; also serves as a logistics consultant. Dr. Dhafer collaborates extensively with regional and international scholars and plays an active role in advancing high-impact research across domains related to artificial intelligence, strategic management, and operational excellence. His commitment to academic rigor and thought leadership is reflected in his contributions to peer-reviewed publications, editorial activities, and academic development initiatives, reinforcing his reputation as a leading voice in technology-enabled business research.