摘要：根据生产、经营和战略目标的需要，汽车生产企业及时快速地组织和提供零部件的物流活动称为汽车零部件入厂物流。循环取货下车辆路径问题特点是依照设计好的路线取货车辆在约定的时间窗口里将货物从供应商处运送至汽车生产厂,同时将返回的空箱从汽车厂送回供应商处。本文围绕循环取货取货车辆在取货途中发生取货延迟进而影响原有取货计划进行优化调整研究。
文章首先对汽车零部件入厂物流的相关理论进行介绍。然后对取货延迟的汽车供应物流循环取货车辆调度干扰管理问题进行分析并构建优化模型。最后将设计的优化模型应用于一个算例，为证明算法的可行性，对其零部件入厂物流循环取货过程进行应用分析。
本文的创新之处是把干扰管理的思想引入汽车零部件入厂物流循环取货运作过程中，并在这个基础上，设立汽车供应（零部件入厂）物流循环取货车辆取货延迟干扰事件的干扰识别依据。结合C－W节约启发式算法和引入虚拟客户增派救援车辆的解决策略处理汽车供应（零部件入厂）物流循环取货车辆取货延迟的干扰事件的应对方案。
关键词：汽车零部件 入厂物流 循环取货 取货延迟 车辆调度管理
ABSTRACT：Auto parts inbound logistics is the automobile manufacturing enterprise based on production, management and the strategic objectives, timely and rapid delivery and tissue components of the logistics activities. Milk-run characteristics of vehicle routing problem is the pick-up vehicle in accordance with the path design within a defined time window from the supplier to send the goods to the automobile factory, at the same time will return from the empty car factory to suppliers. This paper on milk-run pickup vehicle in the pickup on the way and effect of pickup delay optimization and adjustment of the original collection plan.
Firstly, this paper introduces the related theory of auto parts inbound logistics. Then, the pickup delay auto supply logistics milk-run vehicle routing problem analysis and design optimization model. Finally, the design optimization model is applied to an automobile enterprise, the parts inbound logistics milk-run process application analysis, feasibility of the algorithm.
The innovation of this article is to introduce the idea of interference management of inbound logistics of automobile parts milk-run process, and on this basis, establishment of automobile supply (the parts inbound logistics milk-run) vehicle pickup interference identification based on delay disturbance events. Saving heuristic algorithm and introducing processing auto supply solutions virtual customer to send a rescue vehicle (with CW parts inbound logistics) solutions of milk-run vehicle pickup delay of the disturbance events.
Keywords：Auto parts; inbound logistics; milk-run; delay pickup; Vehicle scheduling management
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