Welcome to the Department of Business Analytics and Decision Making
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 31 - 35 von 228
Ehmke, J. F., Klein, R., Steinhardt, C., & Strauss, A. (2024). Data-driven demand and supply management for online-to-offline logistic services. OR Spectrum, 46, 237-240. https://doi.org/10.1007/s00291-024-00768-w
Yaqub, M. Z., Yaqub, R. M. S., Khan, S. Y., & Murad, M. (2024). How does the government's sustainable consumption policy enkindle sustainable consumption behaviors in the consumer public? Cleaner and Responsible Consumption, 13, Artikel 100196. https://doi.org/10.1016/j.clrc.2024.100196
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
Hess, C., Müller, A.-G., Dörner, K. F., & Vigo, D. (2024). Waste collection routing: a survey on problems and methods. Central European Journal of Operations Research, 32(2), 399-434. https://doi.org/10.1007/s10100-023-00892-y
Zeige Ergebnisse 31 - 35 von 228