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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Roljic, B., Leitner, S., & Dörner, K. F. (2021). Stacking and Transporting Steel Slabs using High-capacity Vehicles. 843-851. Beitrag in International Conference on Industry 4.0 and Smart Manufacturing, Hagenberg, Österreich.
Khanzode, V., & Joshi, K. (2021). Supply chain configurations of social enterprise: typology and generic framework. in In search of business models in social entrepreneurship (S. 169-185). Springer.
Krebs, C., & Ehmke, J. F. (2021). Vertical Stability Constraints in Combined Vehicle Routing and 3D Container Loading Problems. in M. Mes, E. Lalla-Ruiz, & S. Voß (Hrsg.), Computational Logistics - 12th International Conference, ICCL 2021, Proceedings (S. 442-455). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-87672-2_29
Caulkins, J., Grass, D., Feichtinger, G., Hartl, R., Kort, P. M., Prskawetz, A., Seidl, A., & Wrzaczek, S. (2020). How long should the COVID-19 lockdown continue? PLoS ONE, 15(12), Artikel e0243413. https://doi.org/10.1371/journal.pone.0243413
Schmaranzer, D., Braune, R., & Dörner, K. F. (2020). Population-based simulation optimization for urban mass rapid transit networks. Flexible Services and Manufacturing Journal, 32(4), 767–805. https://doi.org/10.1007/s10696-019-09352-9
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