4.2 Article

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

Journal

INTERNATIONAL JOURNAL OF LEAN SIX SIGMA
Volume 12, Issue 2, Pages 450-475

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IJLSS-07-2019-0083

Keywords

Lean manufacturing; Barrier; Interpretive structural modelling (ISM); MICMAC; Structural model

Ask authors/readers for more resources

The study examines barriers to lean adoption in the fabrication industry using ISM. It identifies lack of knowledge about lean, lack of top management support and poor leadership as principal barriers. MICMAC analysis categorizes the barriers into driving, dependent, linkage and autonomous types.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available