This paper studies decision rules for accepting reservations for stays in a hotel based on deterministic and stochastic mathematical programming techniques. Booking control strategies are constructed that include ideas for nesting, booking limits and bid prices. We allow for multiple day stays. Instead of optimizing a decision period consisting of a fixed set of target booking days, we simultaneously optimize the complete range of target booking dates that are open for booking at the moment of optimization. This yields a rolling horizon of overlapping decision periods, which will conveniently capture the effects of overlapping stays.

Additional Metadata
Keywords Mathematical programming, Revenue management, Yield management
Persistent URL
Goldman, P., Freling, R., Pak, K., & Piersma, N.. (2001). Models and techniques for hotel revenue management using a rolling horizon. (No. EI 2001-46). Report / Econometric Institute, Erasmus University Rotterdam. Retrieved from