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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Grass, D., Feichtinger, G., Kort, P. M., & Seidl, A. (2021). Why (some) abnormal problems are "normal". Systems & Control Letters, 154, [104971]. https://doi.org/10.1016/j.sysconle.2021.104971
Lang, M. A. K., Cleophas, C., & Ehmke, J. F. (2021). Multi-criteria Decision Making in Dynamic Slotting for Attended Home Deliveries. Omega, 102, [102305]. https://doi.org/10.1016/j.omega.2020.102305
Morton, A., Bish, E., Megiddo, I., Zhuang, Z., Aringhieri, R., Brailsford, S., Deo, S., Geng, N., Higle, J., Hutton, D., Janssen, M., Hutton, E., Kaplan, E., Li, J., Oliveira, M., Prinja, S., Rauner, M., Silal, S., & Song, J. (2021). Introduction to the Special Issue: Management Science in the Fight Against Covid-19. Health Care Management Science, 24(2), 251–252. https://doi.org/10.1007/s10729-021-09569-x
Gosch, L., Prandtstetter, M., & Dörner, K. F. (2021). On Modelling and Solving Green Collaborative Tactical Transportation Planning. 1-17. Beitrag in IPIC 2021 8th International Physical Internet Conference, Griechenland. https://www.pi.events/IPIC2021/sites/default/files/IPIC2021_DRAFT%20PROCEEDINGS_PAPER_POSTER.pdf
Schmid, S., Vetschera, R., & Lienert, J. (2021). Testing Fairness Principles for Public Environmental Infrastructure Decisions. Group Decision and Negotiation, 30(3), 611–640. https://doi.org/10.1007/s10726-021-09725-2
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