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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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, Artikel 102058. https://doi.org/10.1016/j.tre.2020.102058
Yaqub, M. Z., Sreckovic, M., Cliquet, G., Hendrikse, G., & Windsperger, J. (2020). Network Innovation versus Innovation through Networks. Industrial Marketing Management, 90, 79-89. https://doi.org/10.1016/j.indmarman.2020.07.001
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