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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Otto, A., & Tilk, C. (2024). Intelligent design of sensor networks for data-driven sensor maintenance at railways. Omega (United Kingdom), 127, [103094]. https://doi.org/10.1016/j.omega.2024.103094
Rauner, M., & Swyter, B. (2024). The Potential of the Community Emergency Paramedic Strategy for the Ambulance Rescue System in the City of Hamburg, Germany. Manuskript zur Veröffentlichung eingereicht.
Mlekusch, J., & Hartl, R. (Angenommen/Im Druck). The Dual-Resource-Constrained Re-entrant Flexible Flow shop A Constraint Programming approach and a Hybrid Genetic Algorithm. International Journal of Production Research.
Vetschera, R., & Dias, L. C. (2024). Confidence and Outcome Expectations in Bilateral Negotiations–A Dynamic Model. Group Decision and Negotiation, 33, 775-803. https://doi.org/10.1007/s10726-024-09886-w
Kilgour, D. M., & Vetschera, R. (2024). Two‑Person Fair Division with Additive Valuations. Group Decision and Negotiation, 33(2), 745-774. https://doi.org/10.1007/s10726-024-09885-x
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