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Application of interpretive structural modelling for analysis of lean adoption barriers in heavy industry

Aadithya B.G. (Department of Production Engineering, National Institute of Technology, Tiruchirappalli, India)
Asokan P. (Department of Production Engineering, National Institute of Technology, Tiruchirappalli, India)
S. Vinodh (Department of Production Engineering, National Institute of Technology, Tiruchirappalli, India)

International Journal of Lean Six Sigma

ISSN: 2040-4166

Article publication date: 22 September 2020

Issue publication date: 20 March 2021

363

Abstract

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.

Keywords

Citation

B.G., A., P., A. and Vinodh, S. (2021), "Application of interpretive structural modelling for analysis of lean adoption barriers in heavy industry", International Journal of Lean Six Sigma, Vol. 12 No. 2, pp. 450-475. https://doi.org/10.1108/IJLSS-07-2019-0083

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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