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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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
Gansterer, M., Hartl, R. F., & Wieser, S. (2021). Assignment constraints in shared transportation services. Annals of Operations Research, 305(1-2), 513-539. https://doi.org/10.1007/s10479-020-03522-x
Caulkins, J. P., Grass, D., Feichtinger, G., Hartl, R., Kort, P. M., Seidl, A., Prskawetz, A., & Wrzaczek, S. (2021). COVID-19 and Optimal Lockdown Strategies: The Effect of New and More Virulent Strains. in M. D. C. Boado-Penas, J. Eisenberg, & Ş. Şahin (Hrsg.), Pandemics: Insurance and Social Protection (S. 163-190). Springer International Publishing. https://doi.org/10.1007/978-3-030-78334-1_9
Schmaranzer, D., Braune, R., & Dörner, K. F. (2021). Multi-objective simulation optimization for complex urban mass rapid transit systems. Annals of Operations Research, 305(1), 449-486. https://doi.org/10.1007/s10479-019-03378-w
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