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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Caulkins, J., Grass, D., Feichtinger, G., Hartl, R., Kort, P. M., Prskawetz, A., Seidl, A., & Wrzaczek, S. (2020). How long should the COVID-19 lockdown continue? PLoS ONE, 15(12), [e0243413]. https://doi.org/10.1371/journal.pone.0243413
Schmaranzer, D., Braune, R., & Dörner, K. F. (2020). Population-based simulation optimization for urban mass rapid transit networks. Flexible Services and Manufacturing Journal, 32(4), 767–805. https://doi.org/10.1007/s10696-019-09352-9
Fröhlich, G. E. A., Dörner, K. F., & Gansterer, M. (2020). Secure and efficient routing on nodes, edges, and arcs of simple-graphs and of multi-graphs. Networks (New York): an international journal, 76(4), 431-450. https://doi.org/10.1002/net.21993
Schmaranzer, D., Kiefer, A., Braune, R., & Dörner, K. F. (2020). Simulation-based replacement line and headway optimization. in Proceedings of the 2020 Winter Simulation Conference (S. 3069-3080). IEEE.
Groß, P-O., Ehmke, J. F., & Mattfeld, D. C. (2020). Interval travel times for robust synchronization in city logistics vehicle routing. Transportation Research Part E: Logistics and Transportation Review , 143, [102058]. https://doi.org/10.1016/j.tre.2020.102058
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