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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Ghasemi, P., Ali, S. M., Abolghasemian, M., Ahmadi Malakoot, R., & Pourghader Chobar, A. (2024). A Stochastic Sustainable Closed-Loop Supply Chain Networks for Used Solar Photovoltaic Systems: Meta-Heuristic Comparison and Real Case Study. Sustainable Operations and Computers. https://doi.org/10.1016/j.susoc.2024.11.001
Razavian, B., Fayyaz, M., Ghasemi, P., Ozkul, S., & Babaee Tirkolaee, E. (2024). Addressing barriers to big data implementation in sustainable smart cities: Improved zero-sum grey game and grey best-worst method. Journal of Innovation & Knowledge, 9(4), [100593]. https://doi.org/10.1016/j.jik.2024.100593
Rist, Y., Tilk, C., & Forbes, M. (2024). Benders Decomposition with Delayed Disaggregation for the Active Passive Vehicle Routing Problem. European Journal of Operational Research, 318(3), 836-850. https://doi.org/10.1016/j.ejor.2024.05.041
Feichtinger, G., Grass, D., Hartl, R. F., Kort, P. M., & Seidl, A. (2024). The digital economy and advertising diffusion models:Critical mass and the Stalling equilibrium. European Journal of Operational Research, 318(3), 966-978. https://doi.org/10.1016/j.ejor.2024.05.043
Choukolaei, H. A., Mirani, S. E., Ghasemi, P., & Jahangoshai Rezaee, M. (2024). System dynamics simulation follow-up fuzzy cognitive map for investigating the effect of risks on relief in crisis management. Engineering Applications of Artificial Intelligence, 136, [109002]. https://doi.org/10.1016/j.engappai.2024.109002
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