A proposed Decision Support Model for Hotel Revenue Management

نویسندگان

  • Neamat El Gayar
  • Abdeltawab M.A. Hendawi
  • Hisham El-Shishiny
چکیده

Revenue Management (RM) is a technique that applies economic principles to system variables in order to maximize revenue. The focus of hotel RM, as perceived by most hospitality practitioners and researchers, is room revenue maximization. Available software products do not use any high level information and do not use sophisticated prediction models. In this paper we propose a conceptual RM model that relies on an accurate room demand forecast model and a dynamic room pricing and allocation model. The system also attempts to combine expert knowledge with statistical models to provide a flexible and effective decision support tool for revenue maximization.

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تاریخ انتشار 2012