ABSTRACT In 2015, the United Nations launched the Sustainable Development Goals (SDGs) to promote economic growth alongside environmental and social sustainability. This study aims to prioritize the SDG targets that can be effectively attained through adopting Industry 4.0 practices in the Indian manufacturing industry. A framework based on Multi‐Criteria Decision‐Making (MCDM) methodologies, integrated with spherical fuzzy sets, has been proposed to achieve this. The framework employs the Spherical Fuzzy Bayesian Best‐Worst Method (SF‐BBWM) and the Spherical Fuzzy Multi‐Attributive Ideal‐Real Comparative Analysis (SF‐MAIRCA) first to evaluate relevant Industry 4.0 practices and then rank the associated SDG targets to guide strategic decision‐making. The analysis highlights key Sustainable Development Goal (SDG) targets that can be attained through adopting Industry 4.0 practices. These include SDG targets such as modernizing industries with clean and resource‐efficient technologies (SDG 9.4), promoting global resource efficiency and decoupling economic growth from environmental degradation (SDG 8.4), and encouraging sustainable industrial practices (SDG 12.6). The findings offer practical insights for manufacturing stakeholders, particularly in developing nations, to facilitate the transition toward sustainable industrial development. This research presents a structured, MCDM‐based framework, offering valuable decision‐support tools for managers and practitioners aiming to align Industry 4.0 initiatives with sustainability goals and environmental policies.
Yadav et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: