巢式需求下的租赁车队战术规划研究

Tactical Fleet Planning in the Car Rental Industry under Nested Demand

以汽车租赁业的战术车队规划为研究对象,从企业经营特征、顾客租车过程和车队管理等三个方面描述了租赁车辆的物流过程,给出了战术车队规划阶段的三项主要任务。由物流成本、车辆使用成本和企业收益的角度出发,基于租赁站点对各类车型的巢式需求特征,分别考虑需求固定和随机情况下问题的复杂性,给出单个联营区内多站点多车型条件下,采用升级供应策略实现车队资源优化配置的求解模型和求解思路,并设计算法进行求解。结果表明,所提出的模型和算法可以完成战术车队规划的各项任务。

Three main tasks for tactical fleet planning are proposed,and the logistics process of cars is described from three aspects,namely operation features,car rental process of customers,and fleet management.Based on the nested demand characters of leasing sites,this study builds models to optimize resource allocation for multi-site and multi-type in a pool and puts forward solution methods for the circumstance of fixed demand and stochastic demand,respectively.Case study and experimental results in the application prove that the proposed model and algorithm can achieve the tasks of tactical fleet planning.