Research on optimizing pricing of ancillary services based on Markov decision processes
With the intensified competition in the civil aviation transport industry and the gradually increased personalized demands of air passengers,offering ancillary services became a focus of attention for domestic and foreign airlines in order to gain a differentiation competitive advantage and enhance passenger satisfaction.Therefore,how to price ancillary services to increase revenue became an important issue for airline operations.In this paper,a pricing model for ancillary services based on the Markov decision process was proposed,and the model was solved using the method of policy iteration to obtain the optimal price.Simulation experiments were conducted for two passenger segments,and the results showed that compared with the more commonly used short-sighted pricing model for ancillary services,the optimal price obtained by this model increased the average expected revenue per passenger from 93.7 yuan to 102.1 yuan,an improvement of approximately 8.96%.
air transportrevenue managementancillary servicesservice pricingMarkov decision processpolicy iteration
万方数据
维普
