摘要
以收益管理和Logit模型为出发点,研究汽车租赁站点多车型的库存保护水平。通过调查获得顾客消费行为的偏好和效用,运用变精度粗糙集方法对影响顾客选择行为的因素进行简约并构造判断矩阵计算权重,从而计算出顾客对租赁车辆选择的概率和租赁车辆存量的保护水平。计算结果与期望边际收益为控制策略确定的保护水平基本相近,验证了模型的有效性。模型只需利用顾客对租赁车辆选择数据集合来标定参数,而不需要其他的先验信息和顾客选择的概率分布表达式,同时可以提高汽车租赁公司存量控制精度,实现柔性控制。
Abstract :Taking revenue management theory and Logit model as starting points, the vehicle inventory level of car rental sites was studied. Customers' preference and utility on consumption was obtained by a survey. Vari- able precision rough set method was used to simplify the factors that influence the choice of consumers on vehi- cle, then judgment matrix was established to calculate the weights of the remaining factors. Finally the probabili- ty of customer choice of rental cars was calculated, and protection level of car rental in leasing sites was then gained. This study showed that there were similar protection level results compared with the expected marginal revenue, which proved the efficiency of the proposed model, for it only needs to use the data sets of customer choice of rental cars to calibrate parameters without other prior information and probability distribution of cus- tomer choice. It finds the model can improve inventory control accuracy of car rental companies and realize flex- ible control.
出处
《华东交通大学学报》
2016年第1期61-68,共8页
Journal of East China Jiaotong University
基金
国家自然科学基金项目(51308569)
重庆市教委自然科学技术研究项目(KJ120417)
山地城市交通系统与安全重庆市重点实验室开放基金项目(KTSS201303)
关键词
收益管理
汽车租赁
选择行为
存量控制
变精度粗糙集
revenue management
car rental
choice behavior
inventory control
variable precision rough set