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.
News
Teaching
Research
21.07.2021
New Papers
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Goodarzian, F., Ghasemi, P., Gonzalez, E. DR. S., & Tirkolaee, E. B. (2023). A sustainable-circular citrus closed-loop supply chain configuration: Pareto-based algorithms. Journal of Environmental Management, 328, [116892]. https://doi.org/10.1016/j.jenvman.2022.116892
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
Heitmann, R. -J. O., Soeffker, N., Ulmer, M. W., & Mattfeld, D. C. (2023). Combining value function approximation and multiple scenario approach for the effective management of ride-hailing services. EURO Journal on Transportation and Logistics. https://doi.org/10.1016/j.ejtl.2023.100104
Alarcon Ortega, E. J., & Dörner, K. F. (2023). A sampling-based matheuristic for the continuous-time stochastic inventory routing problem with time-windows. Computers & Operations Research, 152, [106129]. https://doi.org/10.1016/j.cor.2022.106129
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
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