基于精益原则的汽车供应商物资供应系统的重新设计及其应用

S. I. Satoglu, Kirac Ucan
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引用次数: 9

摘要

本研究的目的是在精益生产原则的基础上,通过考虑产品的需求特征和物料清单,提出一个框架来重新设计汽车供应商公司的传统材料供应系统。特别是,在适当的情况下,拉(看板)系统,POLCA和套件被用于向装配线补充组件。由于材料处理成本高、空间要求高以及许多产品定制要求,在汽车行业的许多情况下都使用了拉动式系统和套件。提出了看板系统,用于协调需求相对平稳的零部件供应。对于低需求和可变需求的部件,建议采用POLCA系统。虽然传统的看板系统需要通过容器来补充组件,但装配可能是一个更好的系统,可以节省装配线缓冲区域的空间,因为产品有共同的组件。因此,本研究还开发了一种基于组件聚类到工具包中的套件方法。组件包的补充由看板协调。将所提出的方法应用于一家生产空调的汽车供应商。由于这种应用,装配线操作员检查零件可用性所花费的时间被消除了。进料时间缩短80%。生产计划人员用于控制生产需求的时间减少了72%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Redesigning the material supply system of the automotive suppliers based on lean principles and an application
The purpose of this study is to propose a framework to redesign the conventional material supply systems of the automotive supplier companies by considering the demand characteristics and the bill-of materials of the products, on the basis of lean production principles. Especially, pull (Kanban) system, POLCA and kitting were used to replenish components to the assembly line, where appropriate. Pull system and kitting were used in many cases of the automotive sector because of the high material handling costs, space requirements and many product customization requests. Kanban systems were proposed for coordinating the supply of components' with relatively smooth and high demand. For supplying components with low and variable demand, POLCA systems were suggested. Although conventional Kanban systems require replenishment of components by containers, kitting may a better systematic to save space in buffer areas of the assembly lines where products have common components. Therefore, a kitting methodology was also developed in this study, based on clustering of components into the kits. Replenishment of kits of components is coordinated by Kanban. The proposed methodology is applied in an automotive supplier producing air-conditioners. As a result of this application, time spent by the assembly line operators for checking the parts availability was eliminated. Material feeding time was reduced by %80. Time spent by the production planner for controlling the production requirements were reduced by %72.
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