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.
News
Teaching
Research
New Papers
Zeige Ergebnisse 81 - 85 von 192
Braune, R., Gutjahr, W., & Vogl, P. (2022). Stochastic radiotherapy appointment scheduling. Central European Journal of Operations Research, 30(4), 1239-1277. https://doi.org/10.1007/s10100-021-00762-5
Kusoncum, C., Sethanan, K., Hartl, R. F., & Jamrus, T. (2022). Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand. Operational research, 22(5), 5863-5895. https://doi.org/10.1007/s12351-020-00597-z
Scherr, Y. O., Hewitt, M., & Mattfeld, D. C. (2022). Stochastic service network design for a platooning service provider. Transportation Research Part C: Emerging Technologies, 144, [103912]. https://doi.org/10.1016/j.trc.2022.103912
Ritzinger, U., Puchinger, J., Rudloff, C., & Hartl, R. F. (2022). Comparison of anticipatory algorithms for a dial-a-ride problem. European Journal of Operational Research, 301(2), 591-608. https://doi.org/10.1016/j.ejor.2021.10.060
Feichtinger, G., Hartl, R. F., Kort, P. M., Seidl, A., & Wrzaczek, S. (2022). Asymmetric Information in a Capital Accumulation Differential Game with Spillover and Learning Effects. Journal of Optimization Theory and Applications, 194(3), 878-895. https://doi.org/10.1007/s10957-022-02054-7
Zeige Ergebnisse 81 - 85 von 192