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.
News
Research
New Papers
Zeige Ergebnisse 26 - 30 von 252
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
Kötschau, R., Scherr, N., Tilk, C., & Ehmke, J. F. (2025). Mobile Home Delivery Parcel Lockers. Transportation Research Part E: Logistics and Transportation Review , 193, Artikel 103867. https://doi.org/10.1016/j.tre.2024.103867
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(Part A), Artikel 109478. https://doi.org/10.1016/j.engappai.2024.109478
Yu, S., Campbell, A. M., Ehmke, J. F., & Puchinger, J. (Angenommen/Im Druck). A hybrid urban delivery system with robots. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2025.10.008
Zeige Ergebnisse 26 - 30 von 252