摘要：对汽车生产厂家而言，其零部件供应商众多，零部件的入场取货是企业的重要物流环节，影响着企业的生产及发展。但传统的物流取货方式没有对干扰问题进行考虑，在实际应用中时常不能满足企业的生产物流需求。在这一背景下，循环取货车辆调度干扰管理研究越来越必要。

　　　论文在对汽车供应物流循环取货干扰管理的国内外研究现状进行深入分析的基础上，将研究对象确定为供应商受扰的干扰管理。首先，分析了入场物流循环取货与干扰管理等问题的相关概念及研究意义，提出了基于供应商受扰的汽车供应物流循环取货干扰管理。其次，建立车辆的原调度模型，然后对干扰事件进行识别与度量，并构造了供应商受扰的循环取货干扰管理模型。最后，结合一个实际的企业数据对所构造的模型进行了实例分析。

　　　本文建立的汽车制造企业循环取货干扰管理模型，针对可能发生的基于供应商变动的干扰事件，能够为企业迅速的提供干扰事件恢复应对策略。运用干扰管理的循环取货方式可以有效地降低取货的成本及干扰事件对汽车生产的影响。

关键词：入厂物流  循环取货  干扰管理  模型

ABSTRACT:In the automobile manufacturing enterprise, they have Many parts suppliers, Parts pickup is an important logistics tache of the enterprises,.affecting the production and development of enterprises. But the traditional logistics replenishment methods without considering the interference problem, in practice often can not meet the demand of enterprise production logistics. In this context, interference management of milk-run mode research more and more necessary.         

　　　This passage’s writing is based on the in-depth analysis of the automotive supply logistics milk-run interference management research status at home and abroad, The research object is identified as the supplier’s interference management disturbance. First, analyzed the meaning of related concepts of milk-run and interference management issues and research’ Significance, Put forward about Suppliers disturbed auto supply logistics milk-run interference management. Secondly, establish the original vehicle scheduling model, and then identify and measure of interference, and construct a supplier disturbed milk-run interference management model. Finally, combining with an actual enterprise data analyzed case of the constructed model.

　　　This paper established the automobile manufacturing enterprise milk-run interference management model, aiming at the possible interference based on event supplier change, can recover the coping strategies for enterprises to quickly provide disturbance events. Using interference management milk-run mode can effectively reduce the cost and the effect on vehicle production.

Keywords：Inbound logistics；Milk-run；Interference management；model