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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Heitmann, R. -J. O., Soeffker, N., Ulmer, M. W., & Mattfeld, D. C. (2023). Combining value function approximation and multiple scenario approach for the effective management of ride-hailing services. EURO Journal on Transportation and Logistics, 12, [100104]. https://doi.org/10.1016/j.ejtl.2023.100104
Vetschera, R., & Dias, L. C. (2023). Confidence in bargaining processes and outcomes: Empirical tests of a conceptual model. EURO Journal on Decision Processes, 11, [100028]. https://doi.org/10.1016/j.ejdp.2023.100028
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].
Zeige Ergebnisse 26 - 30 von 177