• DocumentCode
    343235
  • Title

    Forecasting uncertain hotel room demand

  • Author

    Rajopadhye, Mihir ; Ghalia, M.B. ; Wang, Paul P. ; Baker, Timothy ; Eister, Craig V.

  • Author_Institution
    Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1925
  • Abstract
    Forecasting of uncertain economic variables is an instrumental activity in any organization. This paper takes the hotel industry as a practical application of forecasting using the Holt-Winters method. The problem is to forecast the uncertain demand for rooms at a hotel for each arrival day. Forecasting is part of hotel revenue management system whose objective is to maximize the revenue by making decisions regarding when to make rooms available for customers and at what price. The forecast approach discussed in this paper is based on quantitative models and does not incorporate management expertise. Actual data from a hotel are used to illustrate the forecasting mechanism
  • Keywords
    forecasting theory; hotel industry; management; time series; Holt-Winters method; forecasting; hotel industry; hotel revenue management; hotel room demand; organization; time series; uncertain demand; Demand forecasting; Economic forecasting; Instruments; Inventory control; Inventory management; Predictive models; Pricing; Smoothing methods; Stochastic systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1999. Proceedings of the 1999
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4990-3
  • Type

    conf

  • DOI
    10.1109/ACC.1999.786191
  • Filename
    786191