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
Research
Other
New Papers
Söffker, N., Ulmer, M. W., & Mattfeld, D. C. (2022). Stochastic Dynamic Vehicle Routing in the Light of Prescriptive Analytics: A Review. European Journal of Operational Research, 296(3), 801-820. doi.org/10.1016/j.ejor.2021.07.014
Kinast, A., Braune, R., Dörner, K. F., Rindlerle-Ma, S., & Weckenborg, C. (2022). A hybrid metaheuristic solution approach for the cobot assignment and job shop scheduling problem. Journal of Industrial Information Integration, 28, [100350]. doi.org/10.1016/j.jii.2022.100350
Griessmair, M., & Hippmann, P. (2022). Anger, Guilt, and Repeated Cooperation in Social Dilemmas. Emotion, 22(3), 444-465. doi.org/10.1037/emo0000897
Fröhlich, G. E. A., Gansterer, M., & Dörner, K. F. (2022). Safe and secure vehicle routing: a survey on minimization of risk exposure. International Transactions in Operational Research. doi.org/10.1111/itor.13130