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首页> 外文期刊>International journal of systems assurance engineering and management >Manufacturing wastes analysis in lean environment: an integrated ISM-fuzzy MICMAC approach
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Manufacturing wastes analysis in lean environment: an integrated ISM-fuzzy MICMAC approach

机译：精益环境中的制造废物分析：ISM模糊MICMAC集成方法

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Value stream mapping (VSM) is an important improvement initiative in the lean environment that can be used to boost manufacturing performance by eliminating wastes (Ws). In this study, authors have identified manufacturing related critical wastes for enhancing the manufacturing competitiveness with the help of industry experts and literature. For the effective VSM implementation, these wastes have categorised into three groups named as; seven deadly waste; knowledge waste and administrative waste. The goal of present work is to understand the mutual interaction between these wastes and to identify the 'driving wastes' (i.e. which influence the other wastes) and the 'dependent wastes' (i.e. which are influenced by others). The research theme has divided into three segments; (1) identified the wastes from literature and industry experts, and conducted interviews with experts through a questionnaire in the form of waste relationship matrix (2) prepared an ISM based framework and finally, (3) cluster analysis has done through fuzzy MICMAC. Interpretive structural modeling has been used to analyse the relationships among these manufacturing wastes. Fuzzy MICMAC (cross-impact matrix multiplication applied to classification) has been used to find out driving and the dependence power of identified waste. To determine the driving and the dependence power of various wastes the final results of interpretive structural modeling are used as input to the fuzzy MICMAC analysis. The finding of this study reveals that overproduction (W4) and unclear customer (Wll) are a matter of concern and need maximum attention for enhancing manufacturing performance. The enterprises and the decision-makers can be benefited from this model to identify which manufacturing wastes are performing as the most deleterious.
机译：在精益环境中，价值流映射（VSM）是一项重要的改进计划，可通过消除浪费（Ws）来提高制造性能。在这项研究中，作者确定了与制造业相关的关键废物，以借助行业专家和文献帮助提高制造业的竞争力。为了有效实施VSM，将这些废物分为三类：七致命的浪费；知识浪费和行政浪费。当前工作的目的是了解这些废物之间的相互影响，并确定“驾驶废物”（即影响其他废物）和“依赖废物”（即受其他废物影响）。研究主题分为三个部分。 （1）从文学和工业专家中识别出废物，并通过废物关系矩阵的形式通过问卷调查与专家进行了访谈（2）准备了一个基于ISM的框架，最后（3）通过模糊MICMAC进行了聚类分析。解释性结构建模已用于分析这些制造废物之间的关系。模糊MICMAC（应用于分类的交叉影响矩阵乘法）已用于找出识别出的废物的驱动力和依赖性。为了确定各种废物的驱动力和依赖力，将解释性结构建模的最终结果用作模糊MICMAC分析的输入。这项研究的发现表明，生产过剩（W4）和客户不清楚（Wll）是一个令人关注的问题，需要最大的关注才能提高制造性能。该模型可以使企业和决策者受益，从而确定哪些生产废品表现最有害。

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