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
Link To Document :
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