ISM-ANP hybrid approach to prioritize the barriers in green lean Six Sigma implementation in construction sector

Purpose The purpose of this paper is to prioritize and establish relationships among the barriers that affect green, lean and Six Sigma (GLSS) implementation in the Indian construction sector. Design/methodology/approach A hierarchal model consisting of several levels is generated by the interpretive structural modelling (ISM) methodology. For establishing the priority weights and the ranking of the barriers, the relationships among barriers from the model in ISM are used to provide an output from the analytic network process (ANP). The 12 vital barriers that affect implementation of GLSS adoption were shortlisted from literature and then finalized in consultation with experts belonging from both industry and academia. Findings Based on the ISM model Lack of awareness for green products, Lack of top management commitment and involvement as well as Lack of funds along with an improper estimation are at the highest level. Similar results were found while ranking the barriers through ISM-ANP integration. Originality/value This study identified and prioritized the barriers that affect GLSS implementation using ISM-ANP approach, such a study has not been attempted previously for the construction sector. The ISM model and ANP ranks are based on the inputs gathered from experts and academicians so as to ensure practical validity. This approach is assists decision-makers to focus on the key barriers priority basis and enables them to implement GLSS smoothly.

Automated summary

This paper aims to prioritize and establish relationships among the barriers affecting GLSS implementation in the Indian construction sector using ISM-ANP approach. The study identified 12 vital barriers, with Lack of awareness for green products, Lack of top management commitment, and Lack of funds along with an improper estimation being highlighted as the highest level barriers. The ISM model and ANP ranks, based on inputs from experts and academicians, provide practical validity and assist decision-makers in focusing on key barriers for smooth GLSS implementation.