基于收益管理的动态定价和库存控制方法,针对旅游景点旅游当天不能拒绝游客和景点有最大承受度的特殊性,建立相应的动态规划模型,转化为马尔科夫决策过程。提出预售期门票的定价策略,得到收益函数随着时间的增加而减少,随着门票数的增加而增加,价格是两者的非增函数等相关性质,通过对动态模型的转化处理,求得在旅游旺季和期望价格均值时为旅游当天门票的预留策略。最后,通过数值算例验证了模型的有效性。
This paper, based on dynamic pricing of revenue management methods, considers that attractions can't refuse tourists and have the largest tolerance. Then it sets up a corresponding dynamic programming model of Markov decision process, proposes the ticket pricing strategies and get some properties such as that the profit function decreases with time in- creasing and increases with ticket number increasing. Finally, the numerical example verified the effectiveness of the model.