This two-volume publication presents a curated selection of peer-reviewed contributions from the 8th International Conference on Logistics Operations Management (GOL'26, Fez, Morocco, May 7- 9, 2026).
Structured around the conference theme "Revolutionising Supply Chain and Logistics Through Operations Research and Artificial Intelligence", the collection highlights the transformative impact of operations research and artificial intelligence on modern supply chains. It provides valuable insights for researchers, practitioners, and decision-makers seeking to address complex logistical challenges and drive performance in an increasingly dynamic and digitalised environment.
Key Topics Covered:
• Advanced modelling and simulation: Large-scale optimization, planning & scheduling, joint production-distribution
• AI-driven logistics: Intelligent transport systems, AI for trade facilitation, adaptive supply chain management
• Digital and smart infrastructures: Blockchain, smart ports, digital twins, data analytics for decision-making
• Sustainable and urban logistics: Decision-support tools for smart and sustainable supply chains in smart cities
• Risk, quality, and project management in logistics operations
• Transport modes: Air transport, multimodal logistics, emerging mobility innovations
• Pedagogical perspectives: Teaching logistics operations management
Target Audience:
• Academic researchers in Operations Research, Management Science, AI, and Transportation
• PhD candidates and postdoctoral fellows
• Industry practitioners in supply chain engineering, port authorities, and logistics service providers
Why This Matters
• Offers a unique dual lens (OR + AI) rather than treating them separately Includes emerging themes like digital twins, smart ports, and AI-driven trade facilitation
• Proceedings are rigorously peer-reviewed, ensuring scientific quality
• Provides actionable insights for both theoretical advances and operational deployment
