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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New Papers
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
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. doi.org/10.1002/bse.2993
Dragomir, A-G., Van Woensel, T., & Dörner, K. F. (2022). The pickup and delivery problem with alternative locations and overlapping time windows. Computers & Operations Research, 143, [105758]. doi.org/10.1016/j.cor.2022.105758
Ghasemi, P., & Pourghader Chobar, A. (2022). A New Multiechelon Mathematical Modeling for Pre-and Postdisaster Blood Supply Chain: Robust Optimization Approach. Discrete Dynamics in Nature and Society. doi.org/10.1155/2022/2976929
Fabel, O., Mináriková, D., & Hopp, C. (2022). Differences and similarities in executive hiring decisions of family and non-family firms. Journal of Family Business Strategy, 13(2), [100481]. doi.org/10.1016/j.jfbs.2021.100481