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
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