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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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
Ghasemi, P., Ehmke, J. F., & Bicher, M. (2025). Managing equitable contagious disease testing: A mathematical model for resource optimization. Omega. https://doi.org/10.1016/j.omega.2025.103305
Johnsen, L. C., Meisel, F., & Ehmke, J. F. (2025). Stochastic stay times for interrelated trips in the rural dial-a-ride problem. Transportation Research Part E: Logistics and Transportation Review , 195, Artikel 103968. https://doi.org/10.1016/j.tre.2025.103968
Ahmadi, S. A., & Ghasemi, P. (2025). A Multi Period Portfolio Optimization: Incorporating Stochastic Predictions and Heuristic Algorithms. Applied Soft Computing, 170, Artikel 112662. https://doi.org/10.1016/j.asoc.2024.112662
Teusch, J., Neumann Saavedra, B., Scherr, Y. O., & Müller, J. P. (2025). Strategic planning of geo-fenced micro-mobility facilities using reinforcement learning. Transportation Research Part E: Logistics and Transportation Review , 194, Artikel 103872. https://doi.org/10.1016/j.tre.2024.103872
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