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 176 - 180 von 227
Hauder, V., Beham, A., Wagner, S., Dörner, K. F., & Affenzeller, M. (2021). Dynamic online optimization in the context of smart manufacturing: an overview. 988-995. Beitrag in International Conference on Industry 4.0 and Smart Manufacturing, Hagenberg, Österreich. https://doi.org/10.1016/j.procs.2021.01.356
Wolfinger, D. (2021). A Large Neighborhood Search for the Pickup and Delivery Problem with Time Windows, Split Loads and Transshipments. Computers and Operations Research, 126, Artikel 105110. https://doi.org/10.1016/j.cor.2020.105110
Feichtinger, G., Grass, D., Kort, P., & Seidl, A. (2021). On the Matthew effect in research careers. Journal of Economic Dynamics and Control, 123, Artikel 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
Zeige Ergebnisse 176 - 180 von 227