Welcome to
the Department of Business Decisions and Analytics
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.
News
Teaching
Research
Other
New Papers
Zeige Ergebnisse 1 - 5 von 229
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
Ghasemi, P., Goli, A., Goodarzian, F., & Ehmke, J. F. (2025). Simulation-based genetic algorithm for optimizing a municipal cooperative waste supply chain in a pandemic. Engineering Applications of Artificial Intelligence, 139, Artikel 109478. https://doi.org/10.1016/j.engappai.2024.109478
Windsperger, J., & Raha, A. (Hrsg.) (2025). Research handbook on the theory of the firm. Manuskript in Vorbereitung. in Research handbook on the theory of the firm Edward Elgar Publishing.
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 . Vorzeitige Online-Publikation. https://doi.org/10.1016/j.tre.2024.103872
Horstmannshoff, T., Ehmke, J. F., & Ulmer, M. (2024). Dynamic learning-based search for multi-criteria itinerary planning. Omega, 129, Artikel 103159. https://doi.org/10.1016/j.omega.2024.103159
Zeige Ergebnisse 1 - 5 von 229