Application Of Uncertainty Theory In The Space Control Problem Of Airline Revenue Management

Revenue management can effectively increase airlines' profit. Traditional revenue management space control problem research is carried out in the random environment. But, when airlines open up new routes or encounter emergencies and so on, which is lacking effective data, the models on revenue management in the random environment don't become valid for these routes. Therefore, it is necessary to resolve space control problem of the revenue management under the uncertain environment. To this end, this paper introduces the uncertainty theory to study the problem.The chance-constrained programming model for passages airline network space control problem is presented in this paper. The prices and the requirement of the model are assumed to be uncertain variables. In the light of the control strategy of nested booking, a strategy of reservation is put forward. And this paper gives a numerical example on network space control problem to verify this method.There provides the chance-constrained programming models for cargo airlines space control problem, including an uncertain programming model for single-leg capacity allocation and an uncertain programming model for network capacity allocation. The uncertain programming models can be transformed into the deterministic models according to operational law on uncertainty theory. And this paper gives a numerical example on the cargo capacity allocation problem to show that the models are practical and efficient.