The emergence of agentic AI provides new opportunities but also resembles old challenges in decentralized decision making in multi-agent supply networks. Distributed information and local decision making requires secure sharing of information and alignment of incentives. This poses challenges in particular under conflicting economic, risk, and sustainability criteria. The keynote reviews existing approaches and summarizes new opportunities and frameworks in distributed learning and agentic decision automation as well as aspects of human-AI interaction in this domain.
Stefan Minner is a Full Professor for Logistics and Supply Chain Management at the School of Management, Technical University of Munich (TUM) and a core-member of the Munich Data Science Institute (MDSI). Currently, he is the acting Vice Dean of Research and Innovation at TUM School of Management. His research interests using methods of operations research, artificial intelligence and machine learning are in global supply chain design, transportation optimization and inventory management. His work was published in many peer reviewed journals, including Management Science, Manufacturing & Service Operations Management, Operations Research, Production and Operations Management, Transportation Science, Transportation Research Part B, and European Journal of Operational Research. He serves on several editorial boards of logistics and operations research journals. Currently, Stefan Minner is the Editor-in-Chief of the International Journal of Production Economics. Stefan Minner is a fellow of the International Society for Inventory Research (ISIR), a fellow of the International Foundation of Production Research (IFPR), and a member of the Research Committee of the European Logistics Association (ELA).
The event will be followed by a meet-the-editor session at 9:30-11am on 25 March 2026 (Wed) in G108 University House.