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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Gansterer, M., Födermayr, P., & Hartl, R. F. (2021). The capacitated multi-level lot-sizing problem with distributed agents. International Journal of Production Economics, 235, [108090]. https://doi.org/10.1016/j.ijpe.2021.108090
Wolfinger, D., & Salazar-González, J-J. (2021). The Pickup and Delivery Problem with Split Loads and Transshipments: A Branch-and-Cut Solution Approach. European Journal of Operational Research, 289(2), 470-484. https://doi.org/10.1016/j.ejor.2020.07.032
Stummer, C., & Engin, A. (2021). A tribute to Rudolf Vetschera. Central European Journal of Operations Research, 29(1), 1-6. https://doi.org/10.1007/s10100-020-00734-1
Engin, A. (2021). The cognitive ability and working memory framework: Interpreting cognitive reflection test results in the domain of the cognitive experiential theory. Central European Journal of Operations Research, 29(1), 227-245. https://doi.org/10.1007/s10100-020-00721-6
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, [102489]. https://doi.org/10.1016/j.jmateco.2021.102489
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