Modelling of green manufacturing barriers using a survey-integrated decision-making approach

Abstract

Green manufacturing (GM) barriers encompass challenges and obstacles that impede the seamless adoption and effective implementation of environmentally sustainable practices within the manufacturing industry. This paper is dedicated to identifying, analyzing, ranking, and modeling the primary barriers that hinder the integration of GM practices. The study meticulously identifies 11 barriers through an extensive literature review and expert opinions. These barriers are subsequently validated by gathering insights from 90 survey responses. To evaluate these challenges, the study employs a survey-based integrated decision-making model that synergizes Fuzzy Analytic Hierarchy Process (FAHP), Interpretive Structural Modeling (ISM), and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) methods. This model not only ranks the identified barriers but also delves into their intricate interrelationships. A sensitivity analysis is conducted to fortify the dependability of the findings. Among these obstacles, two stand out as the most prominent including “lack of research and development facilities” and “insufficient in-house knowledge on environmental issues”. This research represents a pioneering endeavor in its domain, shedding light on the vital realm of green manufacturing and its associated challenges.