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
New Papers
Zeige Ergebnisse 181 - 185 von 233
Kinast, A., Dörner, K., & Rinderle-Ma, S. (2021). Biased random-key genetic algorithm for cobot assignment in an assembly/disassembly job shop scheduling problem. Beitrag in International Conference on Industry 4.0 and Smart Manufacturing 2020, Unbekannt/undefiniert. http://eprints.cs.univie.ac.at/6568/
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
Zeige Ergebnisse 181 - 185 von 233