基于马尔可夫决策过程的附加服务定价优化  

Research on optimizing pricing of ancillary services based on Markov decision processes

作　　者：杨明霞 朱星辉[1] YANG Mingxia;ZHU Xinghui(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China)

机构地区：[1]南京航空航天大学民航学院,南京211100

出　　处：《哈尔滨商业大学学报（自然科学版）》2024年第1期118-122,共5页Journal of Harbin University of Commerce：Natural Sciences Edition

基　　金：国家自然科学基金项目(U2033205);民航局安全能力专项(1007-IMH22004)。

摘　　要：随着民航运输业竞争日益加剧以及航空旅客个性化需求逐步提高,为取得差异化竞争优势和提高旅客满意度,开展附加服务业务是目前国内外航空公司关注的焦点,如何对附加服务定价以增加收益是目前航空公司运营的一个重要问题.为此基于马尔可夫决策过程提出了一种附加服务定价模型,并使用策略迭代算法对该模型进行求解以获得最优价格.对两类旅客细分市场进行仿真实验.结果表明,相比于现行使用较多的附加服务短视化定价模型,通过该模型求解得到最优价格将每位旅客的平均预期收益从93.7元提高到102.1元,提升幅度约8.96%.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 

分 类 号：F562[经济管理—产业经济]