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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Schmaranzer, D., Braune, R., & Dörner, K. F. (2021). Multi-objective simulation optimization for complex urban mass rapid transit systems. Annals of Operations Research, 305(1), 449-486. https://doi.org/10.1007/s10479-019-03378-w
Dörner, K. F., & Sarasola, B. (2021). Solving a Multi-objective Vehicle Routing Problem with Synchronization Constraints. in M. Mes, E. Lalla-Ruiz, & S. Voß (Hrsg.), Computational Logistics - 12th International Conference, ICCL 2021, Proceedings (Band 13004, S. 532-546). Springer. Lecture Notes in Computer Science Band 13004 https://doi.org/10.1007/978-3-030-87672-2_35
Mancini, S., Gansterer, M., & Hartl, R. F. (2021). The collaborative consistent vehicle routing problem with workload balance. European Journal of Operational Research, 293(3), 955-965. https://doi.org/10.1016/j.ejor.2020.12.064
Dörner, K. F., Stummer, C., & Zsifkovits, M. (2021). Preface: The modeling and simulation of complex systems. Annals of Operations Research, 305, 423-424. https://doi.org/10.1007/s10479-021-04247-1
Raha, A., Hajdini, I., & Windsperger, J. (2021). A multilateral stakeholder salience approach: An extension of the stakeholder identification and salience framework. Industrial Marketing Management, 97, 1-9. https://doi.org/10.1016/j.indmarman.2021.06.008
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