关键词: 补贴策略, 顾客行为, 容量分配, 升级

Abstract: With the development of the Internet of Things, the rental company can monitor customers’ behavior in time by intelligent technology. An increasing number of car rental companies are motivated to design a subsidy policy to encourage customers to maintain good behavior in the rental process. Taking rental prices as a function of customer behavior, a dynamic programming model has been constructed to analyze the capacity allocation policy and subsidy policy under multi-period and-product. Because of the highly dimension of the state variable, it is difficult to solve the problem. We have proposed two approximation algorithms to solve this problem and testified the properties of the model. After considering the transfer of customer behavior, the results about capacity allocation, upgrade mechanism and subsidy policies are as follows: The capacity control policy depends on opportunity cost. The upgrade mechanism is in accordance with the hierarchy of the product and the upgrade strategy is upgraded in sequence. An increase in subsidy will not decrease the expected revenue under certain conditions. Thus, an appropriate subsidy strategy can raise the revenue of the company.

Key words: subsidy policy, customer behavior, capacity allocation, upgrade