Group for Business Analytics, Operations Research and Quantitative Methods

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.

Promotion

Congratulations, Nicklas!

Nicklas Klein, Teaching and Research Assistant at the Group for Business Analytics, Operations Research and Quantitative Methods, successfully completed his dissertation on Models and Algorithms for Scheduling and Resource Allocation. Congratulations on this amazing achievement, Nicklas!

Job openings

Offene Doktorats- und Assistenzstelle

Zum 1. August 2025 oder nach Vereinbarung besetzen wir eine Doktorats- und Assistenz-Stelle im Bereich Operations Research. Wir freuen uns auf Ihre Bewerbung!

Zum Stelleninserat

Research

Invited talk in Scheduling Seminar

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.

Research

Recent journal articles

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

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Research

Recent conference proceedings

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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