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.
News
Teaching
Research
Other
New Papers
Zeige Ergebnisse 216 - 220 von 235
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
Griessmair, M., & Gettinger, J. (2020). Take the Right Turn: The Role of Social Signals and Action-Reaction Sequences in Enacting Turning Points in Negotiations. Group Decision and Negotiation, 29(3), 425-459. https://doi.org/10.1007/s10726-020-09664-4
Gansterer, M., & Hartl, R. F. (2020). Shared resources in collaborative vehicle routing. TOP. An Official Journal of the Spanish Society of Statistics and Operations Research, 28(1), 1-20. https://doi.org/10.1007/s11750-020-00541-6
Zeige Ergebnisse 216 - 220 von 235