We teach and do research in Business Analytics, Operations Research, and Quantitative Methods at the Department of Business Administration.
We are also in charge of the Department of Business Administration's student exchange, particularly the SEMP/Erasmus Program.
Organizationally, we belong to the Institute of Financial Management.
Job openings
Zum 1. August 2025 oder nach Vereinbarung besetzen wir eine Doktorats- und Assistenz-Stelle im Bereich Operations Research. Wir freuen uns auf Ihre Bewerbung!
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Research
Watch video
Prof. Dr. Norbert Trautmann presented his work "Mixed-integer linear programming for project scheduling with resource-unit related constraints" during the Scheduling Seminar on December 4, 2024. This virtual seminar on scheduling research and applications is held every second Wednesday across three different time zones. For more information, visit schedulingseminar.com.
Hochbaum, D.S.; Baumann, P.; Goldschmidt, O.; Zhang, Y. (2025): A fast and effective breakpoints heuristic algorithm for the quadratic knapsack problem. European Journal of Operational Research, to appear Baumann, P.; Hochbaum, D.S. (2024): An algorithm for clustering with confidence-based must-link and cannot-link constraints. INFORMS Journal on Computing, available online Bigler, T.; Gnägi, M.; Trautmann, N. (2024): MIP-based solution approaches for multi-site resource-constrained project scheduling. Annals of Operations Research 337, 627-647 Bigler, T. (2024): A matheuristic for locating obnoxious facilities. Computers and Operations Research 166, 106602 Klein, N.; Gnägi, M.; Trautmann, N. (2024): Mixed-integer linear programming for project scheduling under various resource constraints. European Journal of Operational Research 319(1), 79-88
Learn more
Ackermann, N.; Bigler, T.; Trautmann, N. (2024): Workload-balancing constraints in a continuous-time integer programming formulation for the resource-constrained project scheduling problem. In: Proceedings of the 2024 IEEE International Conference on Industrial Engineering and Engineering Management. Bangkok, to appear Klein, N.; Trautmann, N. (2023): Planning electric vehicle charging stations under uncertainty. In: Proceedings of the 2023 IEEE International Conference on Industrial Engineering and Engineering Management. Singapore, 0612-0616 Tran, V.; Kammermann, M.; Baumann, P. (2023): The MPFCC algorithm: A model-based approach for fair-capacitated clustering. In: Proceedings of the 2023 IEEE International Conference on Industrial Engineering and Engineering Management. Singapore, 0677-0681
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