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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Horstmannshoff, T., & Ehmke, J. F. (2022). Traveler-oriented multi-criteria decision support for multimodal itineraries. Transportation Research Part C: Emerging Technologies, 141, Artikel 103741. https://doi.org/10.1016/j.trc.2022.103741
Dias, L., & Vetschera, R. (2022). Two-party bargaining processes based on subjective expectations: a model and a simulation study. Group Decision and Negotiation, 31(4), 843-869. https://doi.org/10.1007/s10726-022-09786-x
Grabenschweiger, J., Dörner, K. F., & Hartl, R. (2022). The Multi-Period Location Routing Problem with Locker Boxes. Logistics Research, 15(1), Artikel 8. https://doi.org/10.23773/2022_8
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, Artikel 100350. https://doi.org/10.1016/j.jii.2022.100350
Jell-Ojobor, M., & Raha, A. (2022). Being good at being good-The mediating role of an environmental management system in value-creating green supply chain management practices: The mediating role of an environmental management system in value-creating green supply chain management . Business Strategy and the Environment, 31(5), 1964-1984. https://doi.org/10.1002/bse.2993
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