Chair of Quantitative Methods

We teach and do research in Operations Research and Data Analysis 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.

News

Offene Doktorats- und Assistenzstellen

Zum nächstmöglichen Zeitpunkt besetzen wir verschiedene Doktorats- und Assistenz-Stellen in den Bereichen Operations Research und Data Science. Wir freuen uns auf Ihre Bewerbung!

PMS 2024 | April 3–5, University of Bern

We are excited to announce that the Chair of Quantitative Methods will organize the 19th International Conference on Project Management and Scheduling at the University of Bern.

Recent journal papers

Bigler, T.; Kammermann, M.; Baumann, P. (2023): A matheuristic for a customer assignment problem in direct marketing. European Journal of Operational Research, 304, 689--708

Bigler, T.; Gnägi, M.; Trautmann, N. (2022): MIP-based solution approaches for multi-site resource-constrained project scheduling. Annals of Operations Research (available online)

Gnägi, M.; Baumann, P. (2021): A matheuristic for large-scale capacitated clustering. Computers and Operations Research 132, 105304

Gnägi, M.; Strub, O. (2020): Tracking and outperforming large stock-market indices. Omega 90, 101999

Recent conference contributions

Baumann, P.; Hochbaum, D.S. (2022): A k-means algorithm for clustering with soft must-link and cannot-link constraints. In: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods. Virtual Conference, 195-202

Baumann, P.; Kammermann, M.; Elsaesser, S. (2021): Minimizing paper waste and setup costs in offset printing. In: Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management. Virtual Conference, 858-862

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