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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Windsperger, J., & Raha, A. (Hrsg.) (2025). Research handbook on the theory of the firm. Manuskript in Vorbereitung. in Research handbook on the theory of the firm Edward Elgar Publishing.
Grass, D., Wrzaczek, S., Caulkins, J. P., Feichtinger, G., Hartl, R. F., Kort, P. M., Kuhn, M., Prskawetz, A., Sanchez-Romero, M., & Seidl, A. (2024). Riding the waves from epidemic to endemic: Viral mutations, immunological change and policy responses. Theoretical Population Biology, 156, 46-65. [165]. https://doi.org/10.1016/j.tpb.2024.02.002
Shamrooz Aslam, M., Bilal, H., S,band, S., & Ghasemi, P. (2024). Modeling of nonlinear supply chain management with lead-times based on Takagi-Sugeno fuzzy control model. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2024.108131
Goodarzian, F., Ghasemi, P., & Gunasekaren, A. (2024). A fuzzy sustainable model for COVID-19 medical waste supply chain network. Fuzzy Optimization and Decision Making, 23(1), 93-127. https://doi.org/10.1007/s10700-023-09412-8
Alarcon Ortega, E. J., Malicki, S., Dörner, K. F., & Minner, S. (2024). Stochastic inventory routing with dynamic demands and intra-day depletion. Computers & Operations Research, 163, [106503]. https://doi.org/10.1016/j.cor.2023.106503
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