Revenue Management Optimization In Network Environment

In the past,the research on revenue management problems were mostly carried out under the single-leg situation.However,with the development of air transport industry,air network transportation is becoming more and more,and its advantages are also beginning to highlight,which makes the demand of airlines for revenue management technology in the network environment increasingly urgent.Therefore,the study of revenue management under the network environment is very necessary.This paper studies the related issues of revenue management in the network environment from both static and dynamic aspects.Based on the existing research on revenue management,this paper studies the optimization of static revenue management in network environment.Firstly,considering the factors of No-show and DB,and considering the randomness of passenger No-show,applying the knowledge of binomial distribution,a stochastic chance-constrained integer programming model for joint capacity control and overbooking is established.Secondly,the Monte Carlo algorithm is used to solve the model,and the seat allocation number of each fare class on each OD flight leg is obtained.Then the reservation limit is obtained by nesting the class according to the ticket value.Finally,an example is given to verify the validity and feasibility of the model.On the basis of static revenue management optimization,dynamic revenue management optimization is carried out.Firstly,the arrival process of passenger ticket reservation request is considered as a Poisson process,and a dynamic model of joint capacity control and overbooking is established.Secondly,through simulation,the random number of reservations for each fare class on each OD flight leg is obtained,the seat allocation number is calculated,and the reservations limit is obtained by nesting the class according to the ticket value.Finally,an example is given to verify the validity and feasibility of the model.