초록 열기/닫기 버튼
With the development of tourism, the hotel industry has been growing steadily. However, in a variety of environmental changes and constant competition, the hotel industry began changed. Among them, the expansion of hotel food and beverage business can be counted on Management Improvement. Through appropriate demand forecasting techniques and more efficient management of food materials to enable quick decision, it will be more helpful to revenue management. In this study, to find out optimized forecasting techniques for hotel food and beverage business and presents a more accurate prediction model. To assist practitioners in making decisions. The results of this study are as follows: Food and beverage sales data in January 2002-December 2009 be analysed. Holt model, the MAPE = 17.350%, Winters additive model MAPE = 8.168%, Multiplicative MAPE = 8.136%, the regression models were 16.454%, 16.131%, 15.823%. Winters models showed the highest prediction accuracy was found. However, since the 2010 January until June, comparing actual data and predicted data. It have shown little difference in predictive value. In making predictions, a mix of winters model and qualitative methods will be more efficient management.
