Forecasting uncertain hotel room demand
Mihir Rajopadhye, Mounir Ben Ghalia, P.P. Wang, Tim Baker, Craig V. Eister
Abstract
Mihir Rajopadhye, Mounir Ben Ghalia, P.P. Wang, Tim Baker, Craig V. Eister
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.
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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.
Key concepts: Revenue management, Demand forecasting, Revenue, Hotel industry, Operations research, Computer science, Business, Finance