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.
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Caulkins, J. P., Grass, D., Feichtinger, G., Hartl, R. F., Kort, P. M., Prskawetz, A., Seidl, A., & Wrzaczek, S. (2021). The optimal lockdown intensity for COVID-19. Journal of Mathematical Economics, 93, Artikel 102489. https://doi.org/10.1016/j.jmateco.2021.102489
Gansterer, M., & Hartl, R. F. (2021). The Prisoners' Dilemma in collaborative carriers' request selection. Central European Journal of Operations Research, 29(1), 73-87. https://doi.org/10.1007/s10100-020-00717-2
Grabenschweiger, J., Dörner, K. F., Hartl, R., & Savelsbergh, M. W. P. (2021). The Vehicle Routing Problem with Heterogeneous Locker Boxes. Central European Journal of Operations Research, 29(1), 113-142. https://doi.org/10.1007/s10100-020-00725-2
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
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