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An approach to evaluate interrelationships among lean attributes of manufacturing systems: A case study based on lean enterprises

机译:一种评估制造系统精益属性相互关系的方法 - 以精益企业为例

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Lean philosophy has received more emphasize during recent times due to its robust features which facilitate productive manufacturing environments in companies regardless of the type of industry. However, enormous approaches taken to implement lean manufacturing systems inside factories, have failed to achieve desired objectives. This is mainly due to the focus on individual lean attributes rather than considering their collective impact on a system. This paper suggested an approach to measure correlations among lean attributes using their degrees of implementation. These correlations will help organizations to identify lean attributes which are interrelated. The quest is how to measure the degree to which each lean attribute has been implemented within the organization. Different companies have varying levels of lean implementations. Therefore identifying the leanness requires the organization to compare itself against a proxy company who has also implemented similar lean attributes. This research suggested an approach to identify a proxy company and then evaluate the degrees of lean attribute implementations of the selected company. The fuzzy membership functions were used to calculate the degrees. These degrees were then used to figure out possible correlations among lean attributes. The research findings showed that visual feedback made available to the factory floor had triggered a positive impact on other lean attributes in most circumstances.
机译:由于其强大的功能,近期获得了更加强调的是,无论如何提供公司的生产性生产环境,促进了公司的生产性制造环境。然而,在工厂内实施精益制造系统的巨大方法未能实现期望的目标。这主要是由于对个人精益属性的关注而不是考虑到它们对系统的集体影响。本文建议使用其实现程度来测量精益属性之间的相关性的方法。这些相关性将帮助组织识别相互关联的精益属性。任务是如何测量组织内实现每个精益属性的程度。不同公司的精益实施级别不同。因此,识别贫民要求本组织对比较的代理公司,该公司也实现了类似的精益属性。本研究表明了一种识别代理公司的方法,然后评估所选公司的精益属性实现度。模糊会员函数用于计算度数。然后使用这些度来弄清楚瘦属性之间可能的相关性。研究结果表明,在工厂地板上可用的视觉反馈在大多数情况下引发了对其他精益属性的积极影响。

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