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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Krebs, C., Ehmke, J. F., & Koch, H. (2023). Effective loading in combined vehicle routing and container loading problems. Computers and Operations Research, 149, [105988]. https://doi.org/10.1016/j.cor.2022.105988
Köhler, C., Ehmke, J. F., Campbell, A. M., & Cleophas, C. (2023). Evaluating pricing strategies for premium delivery time windows. EURO Journal on Transportation and Logistics, 12, [100108]. https://doi.org/10.1016/j.ejtl.2023.100108
Gansterer, M., Hartl, R., & Soriano, A. (2023). The multi-depot vehicle routing problem with profit fairness. International Journal of Production Economics, 255, [108669].
Völz, A., Muck, C., Mohammadi Amlashi, D., & Karagiannis, D. (2023). Bridging haptic Design Thinking and cyber-physical environments through Digital Twins using conceptual modeling. 195-208. Beitrag in 22nd International Conference on Perspectives in Business Informatics Research, Ascoli Piceno, Italien. https://ceur-ws.org/Vol-3514/paper93.pdf
Goodarzian, F., Ghasemi, P., Muñuzuri , J., & Abraham, A. (2023). Challenges to the sustainable development of vehicle transport. in N. Kumar, K. Mathiyazhagan, V. R. Sreedharan, & M. A. Kalam (Hrsg.), Advancement in Oxygenated Fuels for Sustainable Development: Feedstocks and Precursors for Catalysts Synthesis (S. 183-197). Elsevier. https://doi.org/10.1016/B978-0-323-90875-7.00011-3
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