Hotel Revenue Optimization in State of Certain and Uncertain Demand by Considering of Cancellation and No-Show

In this study a linear programming model has been presented which its objective is to optimize revenue of hotel. In this model، a special planning horizon has been considered and there are several reservation periods. Each period of reservation may have different prices and the model has an ability to consider different kinds of rooms. Two situations of demand have been considered as certain and uncertain. We use scenario-based method for uncertain demand which is simple but near to reality method in stochastic programming. The unique characteristic of this study is considering cancellation and no-show which is a key factor in amount of acceptation of hotel guests. The model is validated by numeric examples and it is solved by linear programming software، finally.