Welcome to the Department of Business Analytics and Decision Making
The Department of Business Decisions and Analytics is dedicated to high-quality research in quantitative economics and decision support. Building upon a data-driven and optimization-oriented perspective, we develop models and solve complex problems in today’s rapidly changing business environment. We are committed to research-based and competent teaching and try to convey a deep understanding of methods and real-world problems.
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Taverna, F., & Tilk, C. (2025). Enhancing Waste Collection: A Branch-and-Cut-and-Price approach for the Periodic Vehicle Routing Problem with Intermediate Facilities applied to a real-world case study. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2025.09.039
Ghasemi, P., Ehmke, J. F., & Bicher, M. (2025). Managing equitable contagious disease testing: A mathematical model for resource optimization. Omega (United Kingdom), 135, Artikel 103305. https://doi.org/10.1016/j.omega.2025.103305
Elting, S., Ehmke, J. F., & Gansterer, M. (2025). Preference learning for efficient bundle selection in horizontal transport collaborations. European Journal of Operational Research, 324(3), 953-968. https://doi.org/10.1016/j.ejor.2025.02.002
Pilati, F., Tronconi, R., & Dörner, K. F. (2025). Tailored ALNS to Optimize Real-World Logistic Services for Dependent Patients. in Building Resilience into Production: Contemporary Challenges for the Future. ICPR 2023. Lecture Notes in Production Engineering: Proceedings of the 27th International Conference on Production Research Springer. https://doi.org/10.1007/978-3-031-92082-0_38
Chen, B., & Knyazev, D. (2025). Optimal Discrimination-Free Auctions. Management Science. https://doi.org/10.1287/mnsc.2024.04584
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