OVERBOOKING DECISION MODEL OF HOTEL ROOM BASED ON REVENUE MANAGEMENT
An overbooking stochastic optimization decision model of hotel rooms with possible cancellation and no-shows is proposed in this paper. A semi-absolute deviation is used to measure the risk of hotel revenue, and only consider the risk of falling below the expected revenue. The model is changed to a linear programming model by applying linearization techniques. Some examples are presented to illustrate the effectiveness of the model.
NETL
NSTL
万方数据
维普
