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.
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Bourdin, D., Engin, A., & Vetschera, R. (2022). Is there more than one ratio bias? If so, why? Journal of Behavioral Decision Making, 35(3), Artikel e2263. https://doi.org/10.1002/bdm.2263
Bakach, I., Campbell, A. M., & Ehmke, J. F. (2022). Robot-Based Last-Mile Deliveries With Pedestrian Zones. Frontiers in Future Transportation, 2, Artikel 773240. https://doi.org/10.3389/ffutr.2021.773240
Mlekusch, J., & Hartl, R. (2022). Solution methods for the Dual-Resource-Constrained Re-entrant Flexible Flow Shop. Beitrag in International Working Seminar on Production Economics 2022, Innsbruck, Österreich.
Bakach, I., Campbell, A. M., & Ehmke, J. F. (2021). A two-tier urban delivery network with robot-based deliveries. Networks, 78(4), 461-483. https://doi.org/10.1002/net.22024
Lang, M. A. K., Cleophas, C., & Ehmke, J. F. (2021). Anticipative Dynamic Slotting for Attended Home Deliveries. Operations Research Forum, 2, Artikel 70. https://doi.org/10.2139/ssrn.3354537, https://doi.org/10.1007/s43069-021-00086-9
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