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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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
Kumar, V., Goodarzian, F., Ghasemi, P., T. S. Chan, F., & Gupta, N. (2025). Artificial intelligence applications in healthcare supply chain networks under disaster conditions. International Journal of Production Research, 63(2), 395-403. https://doi.org/10.1080/00207543.2024.2444150
Horun, P., & Strauss, C. (2025). Cloud-based Approach on Genetic Data Imputation Parameters' Optimization. in N. Shakhovska, J. Jiao, I. Izonin, & S. Chretien (Hrsg.), Proceedings of the 7th International Conference on Informatics & Data-Driven Medicine (IDDM 2024): IDDM International Conference (S. 279-286). https://ceur-ws.org/Vol-3892/short4.pdf
Ghasemi, P., Ali, S. M., Abolghasemian, M., Ahmadi Malakoot, R., & Pourghader Chobar, A. (2025). A Stochastic Sustainable Closed-Loop Supply Chain Networks for Used Solar Photovoltaic Systems: Meta-Heuristic Comparison and Real Case Study. Sustainable Operations and Computers, 6, 15-33. https://doi.org/10.1016/j.susoc.2024.11.001
Schmidt, J., Tilk, C., & Irnich, S. (2025). Exact Solution of the Vehicle Routing Problem with Drones. Transportation Science, 59(1), 60-80. https://doi.org/10.1287/trsc.2024.0544
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