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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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
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
Hajdini, I., & Windsperger, J. (2020). REAL OPTIONS IN FRANCHISE CONTRACTING: An Application of Transaction Cost and Real Options Theory. European Journal of Law and Economics, 50, 313–337. https://doi.org/10.1007/s10657-020-09665-3
Florio, A. M., Hartl, R., & Minner, S. (2020). Optimal a priori tour and restocking policy for the single-vehicle routing problem with stochastic demands. European Journal of Operational Research, 285(1), 172-182. https://doi.org/10.1016/j.ejor.2018.10.045
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