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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Feichtinger, G., Grass, D., Kort, P., & Seidl, A. (2021). On the Matthew effect in research careers. Journal of Economic Dynamics and Control, 123, [104058]. https://doi.org/10.1016/j.jedc.2020.104058
Florio, A. M., Hartl, R. F., Minner, S., & Salazar-González, J. J. (2021). A branch-and-price algorithm for the vehicle routing problem with stochastic demands and probabilistic duration constraints. Transportation Science, 55(1), 122-138. https://doi.org/10.1287/TRSC.2020.1002
Krebs, C., Ehmke, J. F., & Koch, H. (2021). Advanced loading constraints for 3D vehicle routing problems. OR Spectrum, 43(4), 835-875. https://doi.org/10.1007/s00291-021-00645-w
Krebs, C., & Ehmke, J. F. (2021). Axle Weights in combined Vehicle Routing and Container Loading Problems. EURO Journal on Transportation and Logistics, 10, [100043]. https://doi.org/10.1016/j.ejtl.2021.100043
Vetschera, R., & de Almeida, J. A. (2021). Bounds in Tree-Based Approaches to Generate Project Portfolios in the Presence of Interactions. International Journal of Decision Support System Technology, 13(4), 50-70. https://doi.org/10.4018/IJDSST.2021100104
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