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In this paper a new hotel revenue management model is proposed to provide hotel managers with a flexible and efficient decision support tool for room revenue maximization. The proposed system is composed of an advanced room demand forecast model and an optimization model that takes group reservations into account. The system also allows for expert intervention to update system parameters and outputs in order to integrate domain knowledge with computer models. A case study based on three different sets of reservation records of simulated hotel data demonstrated the viability of the system for giving useful recommendations related to accepting room requests in order to maximize hotel room revenue.

Intelligent System to Support Judgmental Business Forecasting: The Case of Hotel Room Demand in Hotel Revenue Management System