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%.
关键词
航空运输/收益管理/附加服务/服务定价/马尔可夫决策过程/策略迭代
Key words
air transport/revenue management/ancillary services/service pricing/Markov decision process/policy iteration
维普
万方数据