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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Ghasemi, P., & Babaeinesami, A. (2020). Simulation of fire stations resources considering the downtime of machines: A case study. Journal of Industrial Engineering and Management Studies. https://doi.org/10.22116/JIEMS.2020.110013
Haferkamp, J., & Ehmke, J. F. (2020). An Efficient Insertion Heuristic for On-Demand Ridesharing Services. Transportation Research Procedia, 47, 107-114. https://doi.org/10.1016/j.trpro.2020.03.074
Soriano, A., Thibaut, V., Gansterer, M., & Dörner, K. F. (2020). The vehicle routing problem with arrival time diversification on a multigraph. European Journal of Operational Research, 286(2), 564-575. https://doi.org/10.1016/j.ejor.2020.03.061
Lehuédé, F., Péton, O., & Tricoire, F. (2020). A lexicographic minimax approach to the vehicle routing problem with route balancing. European Journal of Operational Research, 282(1), 129-147. https://doi.org/10.1016/j.ejor.2019.09.010
Gansterer, M., & Hartl, R. F. (2020). Rejoinder on: Shared resources in collaborative vehicle routing. TOP. An Official Journal of the Spanish Society of Statistics and Operations Research, 28(1), 32-33. https://doi.org/10.1007/s11750-020-00545-2
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