基于顾客选择行为的租赁车辆存量动态控制稳健模型

工业工程

基于顾客选择行为的租赁车辆存量动态控制稳健模型

(1. 重庆交通大学交通运输学院，重庆 400074；2. 山地城市交通系统与安全重庆市重点实验室，重庆 400074；3. 华南理工大学土木与交通学院，广东广州 510641)

出版日期:2016-08-30 发布日期:2016-10-08
作者简介:杨亚璪（1981-），男，山西省人，副教授，博士,主要研究方向为运输与物流.
基金资助:
国家自然科学基金资助项目(51308569)；重庆市重点实验室开放基金资助项目(KTSS201303)

A Robust Model for Rental Car Inventory Dynamic Control Based on Customer Choice Behavior

(1. School of Traffic and Transportation，Chongqing Jiaotong University，Chongqing 400074，China; 2. Chongqing Key Lab of Traffic System & Safety in Mountain Cities，Chongqing 400074，China; 3. School of Civil Engineering &Transportation，South China University of Technology，Guangzhou 510641，China)

Online:2016-08-30 Published:2016-10-08

摘要/Abstract

摘要：

汽车租赁系统运营状态可划分为可租赁状态和无法租赁状态。考虑顾客到达站点无法租赁车辆的情况，为提高车辆的平均收益，减少期望利润的预测误差，构建租赁状态转移状态空间。应用连续短时段实时顾客行为变化检测策略和马尔可夫决策过程建立存量控制模型，得到租赁商的最优库存车辆数。算例分析表明，模型可以提高汽车租赁商的存量控制精度，实现对车辆的柔性控制。

关键词: 收益管理, 租赁车辆, 顾客选择行为, 存量动态控制, 马尔可夫决策过程

Abstract:

Car rental system operation state can be divided into leasable or not. Considering the situation that consumer cannot lease vehicles at the rental site, in order to improve vehicle average revenue and reduce forecast errors of expected profit, shift state space of car rental state is constructed. Taking the Markov decision processes and the strategy of continuous real-time customer behavior changes detection in a short period, an inventory control model is presented. Example analysis shows that the model can improve the inventory control precision for car renters, and realize the flexible control of the vehicle.

Key words: revenue management, car rental, consumer choice behavior, inventory dynamic control, Markov decision processes

杨亚璪1,2，李鹏飞1，陈坚1，郝小妮3. 基于顾客选择行为的租赁车辆存量动态控制稳健模型[J]. 工业工程.

YANG Yazao1,2, LI Pengfei1, CHEN Jian1, HAO Xiaoni3. A Robust Model for Rental Car Inventory Dynamic Control Based on Customer Choice Behavior[J]. Industrial Engineering Journal .

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