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Modeling and analysis of FMS flexibility factors by TISM and fuzzy MICMAC

机译:FISM柔性因子的TISM和模糊MICMAC建模与分析

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To increase the manufacturing flexibility, manufacturing organizations are looking at flexible manufacturing system (FMS) as a viable alternative to enhance their competitive edge. There are, however, some factors which affect the flexibility of FMS. Fifteen factors are identified from the literature and found their evaluation by interpretive structural modeling (ISM), exploratory factor analysis, confirmatory factor analysis and graph theory matrix approach. But, Interpretation of the mutual relationship of factors is comparatively weak in ISM. Thus, an upgraded version of ISM i.e. Total interpretive structural modeling (TISM) methodology is used to develop the model and the mutual relationship of factors is identified in the TISM. This paper is an application of TISM to interpret the mutual relationship with the ISM using the tool of interpretive matrix and leads to evolving the framework and find out driving and the dependence power of factors, using fuzzy MICMAC analysis. The result shows that use of reconfigurable machine tool, automation and flexible fixturing have strong driving power and weak dependence power and are at the lowest levels in hierarchy in the TISM model. Hence, superior performance of FMS can be achieved by improving the driving factors of flexibility.
机译:为了提高制造灵活性,制造组织正在将柔性制造系统(FMS)视为增强其竞争优势的可行替代方案。但是,有一些因素会影响FMS的灵活性。从文献中识别出15个因素,并通过解释性结构建模(ISM),探索性因素分析,确认性因素分析和图论矩阵法对其进行了评估。但是,在ISM中,因素相互关系的解释相对较弱。因此,使用了ISM的升级版本,即总解释结构建模(TISM)方法来开发模型,并在TISM中确定了因素之间的相互关系。本文是TISM的一种应用,它使用解释矩阵工具解释与ISM的相互关系,并通过模糊MICMAC分析导致框架发展,并找出因素的驱动力和依赖性。结果表明,使用可重构机床,自动化和灵活的夹具具有强大的驱动力和较弱的依赖力,并且在TISM模型中处于层次结构的最低级别。因此,可以通过改善灵活性的驱动因素来实现FMS的卓越性能。

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