Sustainability has become one of the most crucial challenges in the past few years globally. Many manufacturing organizations have suffered significant financial losses as a result of their ignorance towards sustainability issues, along with disturbing the ecological balance and human well-being. Yet, developing countries have a far lower implementation rate of sustainability. Practices based on various Rs of sustainability like reuse, remanufacture and recycle will promote the transformation of industries from a linear to a circular economy. The current study thus aims to identify and analyse factors which are critical for the successful implementation of R-based sustainable practices in the Indian textile industry.
The research employs a novel three-step approach, combining Fuzzy Total Interpretive Structural Modelling (FTISM), Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) model and Interpretive Ranking Process (IRP). FTISM analyses the interdependencies among identified critical success factors, MICMAC categorises them based on their dependence and driving power, while IRP considers performance measures to understand how these factors influence each other. By integrating these techniques, the study prioritizes the critical success factors based on their driving power, dependence and impact on achieving sustainable performance.
The results reveal “government initiatives” and “social sustainability considerations” to be the most influential and important factors in achieving the goal of implementing R-based sustainable practices in the context of the Indian textile industry.
This research purports to enable practitioners, specifically in the Textile industry, to devise a roadmap for successful implementation of R-based sustainable practices in their strategic and operational decisions to achieve sustainable development goals.
This study is an initial attempt at examining the factors critical to successful implementation of R-based sustainable practices in the Textile industry by integrating three MCDM tools.
