Supply Chain Management and Procurement Systems

This area focuses on coordination, inventory, and procurement systems under human and organizational constraints. Research examines multi-echelon inventory decisions, buyer-supplier interactions, contract and auction design, and learning effects. Using experiments, simulations, and mathematical models, this work provides insights to improve efficiency, flexibility, and resilience across complex supply chains.

Key Publications

• Reiners, R., Haubitz, C. B., & Thonemann, U. W. (2025). Lead time prediction for inventory optimization with machine learning. Production and Operations Management, forthcoming.
• Sachs, F. E., Kiesmüller, G. P., & Helber, S. (2025). Design of unreliable flow lines: How to jointly allocate buffer space and spare parts. IISE Transactions, 57(6), 691-705.
• Chen, F., Zhao, Y., & Thonemann, U. (2023). The value of response time information in supply chain bargaining. Manufacturing & Service Operations Management, 25(1), 19-35.
• Fugger, N., Katok, E., & Wambach, A. (2019). Trust in procurement interactions. Management Science, 65(11), 5110-5127.
• Fugger, N., Katok, E., & Wambach, A. (2016). Collusion in dynamic buyer-determined reverse auctions. Management Science, 62(2), 518-533.