Interpretive structural modelling based analysis of sustainable manufacturing enablers

Abstract

Abstract The manufacturing sector has contributed significantly in building the nation s economy for developing countries like India but it has also created many environmental and societal issues. To deal with these issues, the present study has identified the enablers and modelled their interrelationships in case organization of Indian. The present study has identified 29 enablers of sustainable manufacturing through literature review and opinions of experts. Interpretive Structural Modeling has been utilized to develop a hierarchy structural model which can represent the interrelationships among the enablers. The fuzzy concept has been integrated with Matrix Impact of Cross Multiplication Applied to Classification (MICMAC) technique to calculate the driving/dependence power of the enablers. The present study highlights “Limitation of traditional processes” and “Public pressure” as the most significant enablers for sustainable manufacturing adoption. The present study discusses a case application of identifying the interrelationships and influence of sustainable manufacturing enablers. The present study provides pivotal references for researchers, practitioners, and policy-makers by exploring the interrelationships and driving/dependence power of the enablers. The findings may encourage the researchers and practitioners to initiate the same studies in other manufacturing organizations by extending the set of enablers and classifying into some more realistic groups.