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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Kötschau, R., Soeffker, N., & Ehmke, J. F. (2023). Mobile parcel lockers with individual customer service. Networks. https://doi.org/10.1002/net.22173
Vetschera, R., Knyazev, D., & Rehsmann, D. (2023). Properties of bundle valuations in carrier collaboration. Central European Journal of Operations Research. https://doi.org/10.1007/s10100-023-00873-1
Ghasemi, P., Goodarzian, F., Simic, V., & Babaee Tirkolaee, E. (2023). A DEA-based simulation-optimisation approach to design a resilience plasma supply chain network: a case study of the COVID-19 outbreak. International Journal of Systems Science: Operations & Logistics, 10(1), [2224105]. https://doi.org/10.1080/23302674.2023.2224105
Krebs, C., & Ehmke, J. F. (2023). Solution validator and visualizer for (combined) vehicle routing and container loading problems. Annals of Operations Research, 326(1), 561-579. https://doi.org/10.1007/s10479-023-05238-0
Ghasemi, P., Goodarzian, F., Gunasekaren, A., & Abraham, A. (2023). A bi-level mathematical model for logistic management considering the evolutionary game with environmental feedbacks. The International Journal of Logistics Management, 34(4), 1077-1100. https://doi.org/10.1108/IJLM-04-2021-0199
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