Call for Chapters: AI and Quantum Inference for Knowledge Production in Next-Generation Logistics Systems

Editors

Mohamed Amine frikha, king faisal university, Saudi Arabia

Call for Chapters

Proposals Submission Deadline: June 21, 2026
 Full Chapters Due: August 23, 2026
 Submission Date: August 23, 2026

Introduction

The rapid evolution of artificial intelligence (AI), quantum computing, and intelligent automation is transforming modern logistics systems into adaptive, knowledge-driven ecosystems. Traditional logistics models are increasingly challenged by global disruptions, geopolitical instability, climate change, and growing demands for efficiency and sustainability. In response, organizations are adopting AI-powered technologies such as predictive analytics, digital twins, IoT systems, and autonomous decision-making tools to improve resilience and operational performance. At the same time, quantum inference and quantum-inspired optimization offer new possibilities for solving complex logistics problems beyond the capabilities of conventional computing. The integration of AI and quantum intelligence enables faster, smarter, and more adaptive logistics operations across transportation, warehousing, inventory management, and supply chain coordination. This book explores how AI and quantum technologies reshape knowledge production in next-generation logistics systems. It examines emerging innovations, strategic applications, sustainability implications, and governance challenges while highlighting the future of intelligent, resilient, and data-driven global logistics networks.

Objective

This book aims to explore how artificial intelligence (AI), quantum inference, and intelligent digital technologies are transforming next-generation logistics systems into adaptive, knowledge-driven, and resilient ecosystems. It seeks to examine the integration of advanced computational intelligence within logistics and supply chain operations, including transportation, warehousing, inventory management, and strategic decision-making. The book intends to accomplish the following objectives: Analyze the role of AI and quantum technologies in improving logistics efficiency, resilience, sustainability, and real-time decision-making. Explore how intelligent systems generate actionable knowledge through predictive analytics, automation, digital twins, IoT integration, and quantum optimization. Investigate emerging applications of AI and quantum inference in smart warehousing, autonomous logistics, healthcare logistics, food supply chains, and global distribution networks. Examine the challenges associated with intelligent logistics systems, including cybersecurity, ethical governance, transparency, infrastructure readiness, and technological adoption. Provide theoretical and practical insights for researchers, policymakers, industry professionals, and technology developers working in advanced logistics and supply chain management. This book contributes to current research by bridging the growing gap between AI-driven logistics studies and emerging quantum intelligence applications. While existing literature often examines these technologies separately, this volume offers an integrated perspective on how AI and quantum inference collectively reshape knowledge production and operational intelligence in logistics systems. The book also advances contemporary discussions on sustainability, resilience, and digital transformation within global supply chains, providing interdisciplinary perspectives and future research directions for next-generation logistics ecosystems.

Target Audience

This book is intended for a broad interdisciplinary audience interested in the future of intelligent logistics and supply chain systems. It is primarily geared toward academics, researchers, graduate students, and professionals working in supply chain management, logistics, artificial intelligence, operations research, data science, and digital transformation. The book will particularly benefit: Researchers and scholars exploring AI, quantum computing, smart logistics, and knowledge-driven supply chain systems. University faculty and graduate students in logistics, business, engineering, information systems, and technology management programs. Industry professionals and logistics managers seeking innovative approaches to resilience, sustainability, automation, and operational optimization. Policymakers and governmental organizations involved in transportation infrastructure, trade systems, digital governance, and sustainable supply chain development. Technology developers, consultants, and solution providers working on AI applications, digital twins, IoT systems, robotics, and quantum-inspired optimization tools. By combining theoretical perspectives with practical applications, the book serves as a valuable resource for individuals and institutions aiming to understand and implement next-generation intelligent logistics systems in an increasingly complex and data-driven global environment.

Recommended Topics

- Artificial Intelligence in Logistics and Supply Chain Management - Quantum Computing and Quantum-Inspired Optimization - Knowledge Production in Intelligent Logistics Systems - Smart Warehousing and Autonomous Distribution Centers - Predictive Analytics and Demand Forecasting - Digital Twins for Logistics and Supply Chain Operations - Internet of Things (IoT) in Smart Logistics Networks - Robotics and Automation in Warehousing and Transportation - Intelligent Transportation and Route Optimization Systems - AI-Driven Supply Chain Resilience and Risk Management - Sustainable and Green Logistics Technologies - Food Supply Chain Intelligence and Cold Chain Optimization - Healthcare and Pharmaceutical Logistics Innovation - Blockchain and Secure Data Sharing in Logistics - Real-Time Data Analytics and Decision Intelligence - Cybersecurity and Data Privacy in Intelligent Supply Chains - Human-AI Collaboration in Logistics Operations - Explainable AI and Ethical Governance in Logistics - Geopolitical Disruptions and Adaptive Supply Chain Strategies - Cloud Computing and Edge Intelligence in Logistics - Smart Ports, Smart Cities, and Connected Infrastructure - Quantum Decision Systems for Complex Logistics Problems - Circular Economy and Sustainable Distribution Models - Future Trends in Autonomous and Cognitive Logistics Systems

Submission Procedure

Researchers and practitioners are invited to submit on or before June 21, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 5, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by August 23, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI and Quantum Inference for Knowledge Production in Next-Generation Logistics Systems. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

June 21, 2026: Proposal Submission Deadline
July 5, 2026: Notification of Acceptance
August 23, 2026: Full Chapter Submission
September 27, 2026: Review Results Returned
October 25, 2026: Final Acceptance Notification
November 1, 2026: Final Chapter Submission

Inquiries

Mohamed Amine frikha
king faisal university
Mafrikha@Kfu.edu.sa
Back to Call for Papers List