摘要：经调查发现，汽车零部件入厂物流道路干扰对全球的汽车零部件供应商带来了很大的困扰，国内外学者为解决这一问题做出了很多的努力。在实习过程中，我发现重庆的汽车零部件供应商这一问题尤为突出，道路受扰，增加了汽车零部件制造商对库存控制的难度，会大大增加库存费用，降低了周转箱的利用率，汽车零部件制造商只能通过增加投入周转箱来解决周转箱问题，成为了阻碍汽车零部件供应商实行JIT生产的一个重大难题。

　　　本文在对干扰管理的国内外研究现状进行深入分析的基础上，将研究对象确定为汽车零部件入厂物流循环取货车辆调度中道路受扰的组合性干扰事件。首先，分析了道路受扰的零部件入厂物流循环取货车辆调度干扰管理问题，介绍了道路受扰的零部件入厂物流循环取货车辆调度干扰管理问题的相关理论。其次，根据干扰管理思想，构建基于道路受扰的车辆调度干扰管理模型。最后，采用算法对模型进行求解，并通过实例对算法算法和模型进行验证。

　　　本课题针对汽车零部件入厂物流循环取货车辆调度中道路受扰的组合性干扰事件进行研究，干扰事件发生后，以满足取货时间窗为前提，最小化系统扰动，最小化入厂物流循环取货成本，构建干扰管理模型，结合实际案例进行模拟分析，求解干扰事件发生时快速生成系统扰动最小、费用最低的调整方案。可以为循环取货过程的实时调度工作提供决策支持，对汽车零部件入厂物流降低取货成本、提高服务水平具有重要的理论价值和实际应用价值。

关键词：循环取货、干扰管理、道路受扰、遗传算法

ABSTRACT:The factory after investigation found that auto parts logistics path interference on the global auto parts suppliers a lot of domestic and foreign scholars made a lot of effort to solve this problem. In the process of internship, I found out that chongqing auto parts suppliers  the problem of disturbance of roads are more serious, it increasing the difficulty of auto parts manufacturers of inventory control, and greatly increases inventory costs, reduce the utilization rate of the turnover box, car parts maker, only by increasing investment turnover box to solve the problem, became the obstacles to auto parts suppliers implement JIT production a major problem.

   In this paper, on the basis of in-depth analysis of interference management research status, the subjects were identified as auto parts recycling pickup inbound logistics vehicle scheduling in a combination of roads disturbed interference events. First, the road disturbed parts inbound logistics vehicle scheduling cycles picking up interference management issues are analyzed, and I describes theory that relates the way disturbed parts inbound logistics vehicle scheduling cycles picking up interference management issues. Secondly, based on interference management ideas, build a vehicle scheduling interference management model which is based on the road disturbed. Finally, use algorithms to solve the model, and validate algorithm and model by using a instance of the algorithm.

  The auto parts recycling pickup inbound logistics vehicle scheduling in a combination of roads disturbed interference event are observed in this topic. After Interference, the pick-up time window being a precondition, we minimize system disturbances, minimize inbound logistics recycling pick-up costs, build interference management model, and analyze simulation combined with the actual case, and generate the smallest lowest cost adjustment programs which can solve the interference event quickly generate. It can provide with decision support of pick-up the process for the real-time scheduling cycle work to, and there is important theoretical value and practical value for reducing the cost of auto parts pick-up inbound logistics and improving service levels. 

Keywords：milk-run,Inference management;Road disturbed;Genetic algorithm