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.
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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, [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.
Horstmannshoff, T., Ehmke, J. F., & Ulmer, M. (2024). Dynamic learning-based search for multi-criteria itinerary planning. Omega, 129, [103159]. https://doi.org/10.1016/j.omega.2024.103159
Heluo, Y., & Fabel, O. (2024). Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan. Technological Forecasting and Social Change, 209, [123772]. https://doi.org/10.1016/j.techfore.2024.123772
Kötschau, R., Scherr, N., Tilk, C., & Ehmke, J. F. (Angenommen/Im Druck). Mobile Home Delivery Parcel Lockers. Transportation Research Part E: Logistics and Transportation Review .
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