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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Shamrooz Aslam, M., Bilal, H., S,band, S., & Ghasemi, P. (2024). Modeling of nonlinear supply chain management with lead-times based on Takagi-Sugeno fuzzy control model. Engineering Applications of Artificial Intelligence, 133, [108131]. https://doi.org/10.1016/j.engappai.2024.108131
Köhler, C., Campbell, A. M., & Ehmke, J. F. (2024). Data-driven customer acceptance for attended home delivery. OR Spectrum, 46(2), 295-330. https://doi.org/10.1007/s00291-023-00712-4
Vetschera, R., Knyazev, D., & Rehsmann, D. (2024). Properties of bundle valuations in carrier collaboration. Central European Journal of Operations Research, 32(2), 241-266. https://doi.org/10.1007/s10100-023-00873-1
Burian, M., Köhler, C., Campbell, A. M., & Ehmke, J. F. (2024). Service time window selection for attended home deliveries: a case study for urban and rural areas. Central European Journal of Operations Research, 32(2), 267-294. https://doi.org/10.1007/s10100-023-00879-9
Abbasi, S., & Ghasemi, P. (2024). Supply Chain Network Design Concerning Economy and Environmental Sustainability: Crisis Perspective. Results in Engineering, 22, [102291]. https://doi.org/10.1016/j.rineng.2024.102291
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