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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Choukolaei, H. A., Ghasemi, P., & Goodarzian, F. (2023). Evaluating the efficiency of relief centers in disaster and epidemic conditions using multi-criteria decision-making methods and GIS: A case study. International Journal of Disaster Risk Reduction, 85, [103512]. https://doi.org/10.1016/j.ijdrr.2022.103512
Kia, R., Goodarzian, F., & Ghasemi, P. (2023). A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms. Socio-Economic Planning Sciences, 85, [101378]. https://doi.org/10.1016/j.seps.2022.101378
Wolfinger, D., Gansterer, M., Dörner, K. F., & Popper, N. (2023). A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem. European Journal of Operational Research, 304(1), 169-182. https://doi.org/10.1016/j.ejor.2021.10.028
Goodarzian, F., Ghasemi, P., Muñuzuri , J., & Abraham, A. (2023). Challenges to the sustainable development of vehicle transport. Advancement in Oxygenated Fuels for Sustainable Development. https://doi.org/10.1016/B978-0-323-90875-7.00011-3
Breuer, W., Bischof, J., Fabel, O., Hofmann, C., Hundsdoerfer, J., & Weitzel, T. (2023). Business economics in a pandemic world: how a virus changed our economic life. Journal of Business Economics, 93(1-2), 1-9. https://doi.org/10.1007/s11573-023-01135-x
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