Welcome to the Department of Business Analytics and Decision Making
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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Goodarzian, F., & Ghasemi, P. (2025). A Case-Driven Simulation-Optimization Model for Sustainable Medical Logistics Network. Socio-Economic Planning Sciences, 101, Artikel 102271. https://doi.org/10.1016/j.seps.2025.102271
Raha, A., & Kazemi, H. (2025). How to Have the Best of Both Worlds: Value-based Decision Making Through Stakeholder Value Trade-offs. Business Ethics, the Environment & Responsibility, 34(4), 1432-1449. https://doi.org/10.1111/beer.12717
Guo, S. (2025). The influence of anticipated regretful participants on group decisions. Central European Journal of Operations Research.
Ghasemi, P., Ehmke, J. F., & Bicher, M. (2025). Managing equitable contagious disease testing: A mathematical model for resource optimization. Omega (United Kingdom), 135, Artikel 103305. https://doi.org/10.1016/j.omega.2025.103305
Dehghan Chenary, M., Hartl, R. F., Irnich, S., & Tilk, C. (2025). On Combining Conventional Point-To-Point and Automated Waste Collection Systems. Networks, 86(2), 174-198. https://doi.org/10.1002/net.22283
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