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Using fuzzy cost-time profile for effective implementation of lean programmes; SAIPA automotive manufacturer, case study

机译:使用模糊的成本型材以有效实施精益计划; SAIPA汽车制造商,案例研究

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摘要

Today, many manufacturing companies have turned their attention to leanness. The first step in implementation of lean manufacturing is identification of wastes and values in the production processes where value stream mapping (VSM) by using the current state map (CSM) and future state map (FSM) is one of the best tools in this area. While VSM has many benefits, there are some limitations that can be considered when considering the time as the only factor in choosing the best FSM among some proposed FSMs. This paper emphasises the effective use of VSM relying on the removal of some of the common constraints in the subject literature, and cost is considered as another major selection factor along with the time, and for each FSM, the new fuzzy approach of cost-time profile (CTP) has been considered and compared. Also, among the other limitations of VSM is considering deterministic data and regardless of the effect of uncertainty in production processes, which in this study, the data of FSM, using fuzzy analysis and taking into account uncertainty is provided. Finally, in order to explain the effectiveness of the presented method, this approach has been implemented in one of the largest automobile manufacturers in Iran.
机译:今天,许多制造公司都对倾向的关注。实施精益制造的第一步是通过使用当前状态映射(CSM)和未来状态图(FSM)的价值流映射(VSM)的生产过程中的废物和值的识别是该区域中最好的工具之一。虽然VSM有许多好处,但在考虑时间时,可以考虑一些限制,这是选择一些提出的FSM中选择最佳FSM的唯一因素。本文强调了VSM依赖于去除主题文献中的一些共同约束的vsm,并且成本被认为是另一个主要选择因子以及每个FSM,以及每个FSM的成本时间的新模糊方法已经考虑并比较了简介(CTP)。此外,VSM的其他局限性在考虑确定性数据,并且无论在本研究中的生产过程中的不确定性的影响如何,提供了使用模糊分析和考虑不确定性的FSM数据。最后,为了解释所提出的方法的有效性,这种方法已经在伊朗最大的汽车制造商之一实施。

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