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Application of interpretive structural modelling for analysis of lean adoption barriers in heavy industry
International Journal of Lean Six Sigma ( IF 4 ) Pub Date : 2020-09-21 , DOI: 10.1108/ijlss-07-2019-0083
Aadithya B.G. , Asokan P. , S. Vinodh

Purpose

The purpose of the paper is to depict a study on analysis of barriers to lean adoption in fabrication industry using interpretive structural modelling (ISM).

Design/methodology/approach

From the literature review, 22 barriers to lean adoption in fabrication industry have been recognized . Self-structure interaction matrix has been developed based on expert opinion. Computational steps of ISM are being done to develop the structural model. cross-impact matrix multiplication applied to classification (MICMAC) analysis is being done to group the barriers into four types.

Findings

Based on the study, it has been found that “lack of knowledge about lean (philosophy, principles, tools)”, “lack of top management support and commitment” and “poor leadership” are found to be the principal barriers. MICMAC analysis indicated that number of driving, dependent, linkage and autonomous barriers are 9, 8, 4 and 1, respectively.

Practical implications

The study has been executed based on the inputs from industrial practitioners and hence the inferences are found to have practical relevance.

Originality/value

The study is an attempt to analyze the barriers for lean concepts adoption in fabrication kind of industry.



中文翻译:

解释性结构模型在重工业中精益采用障碍分析中的应用

目的

本文的目的是描述使用解释性结构建模(ISM)分析制造行业采用精益生产的障碍的研究。

设计/方法/方法

通过文献综述,已经认识到制造行业采用精益生产的22个障碍。基于专家意见,已经开发出自结构相互作用矩阵。正在进行ISM的计算步骤来开发结构模型。正在进行应用于分类(MICMAC)分析的交叉影响矩阵乘法,以将障碍分为四类。

发现

根据这项研究,发现“主要知识障碍是缺乏精益知识(哲学,原则,工具)”,“缺乏高层管理人员的支持和承诺”以及“领导能力差”。MICMAC分析表明,行驶障碍,依赖障碍,联动障碍和自主障碍的数量分别为9、8、4和1。

实际影响

这项研究是根据工业从业者的意见进行的,因此,得出的推论具有实际意义。

创意/价值

该研究旨在分析在制造业中采用精益概念的障碍。

更新日期:2020-09-21
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