examining the interconnected factors of maintenance 4.0 and sustainable manufacturing performance: an integrated hybrid fuzzy dematel - ism approach

Purpose: implementing industry 4.0 in manufacturing organizations can help them in establishing predictive maintenance, and fostering sustainability. this study aims to explore maintenance 4.0’s impact on sustainable manufacturing performance within a leading steel company.design/methodology/approach: initially, 28 valid indicators have been identified through insights from the company’s managers. a sequential algorithm integrating fuzzy dematel and interpretive structural modeling (ism) has been then utilized to elucidate the intensity and direction of effects among the indicators.findings: findings reveal that the “social” dimension of sustainable manufacturing had the most significant influence on other sustainability dimensions, while the” economic” dimension was found as the most influenced item. “real-time communication” and “collaboration among humans, machines, and sensors” emerged as the most potent capabilities of maintenance 4.0 for enhancing product sustainability. the item operating costs was addressed as a key performance indicator.practical implications: based on the proposed approach of this study, organizations can enhance their understanding of maintenance 4.0, optimize their sustainable manufacturing performance, and contribute to a more environmentally responsible and socially conscious approach to production.originality/value: this study underscores the intertwining nature of digitalization and sustainability, highlighting their potential synergy in driving performance indicators within a company. while previous research has predominantly focused on traditional maintenance performance metrics, overlooking the comprehensive effects of industry 4.0 and its technologies on maintenance and manufacturing performance, this study fills such a gap by employing a hybrid fuzzy dematel-ism approach.

examining the interconnected factors of maintenance 4.0 and sustainable manufacturing performance: an integrated hybrid fuzzy dematel - ism approach

purpose: implementing industry 4.0 in manufacturing organizations can help them in establishing predictive maintenance, and fostering sustainability. this study aims to explore maintenance 4.0’s impact on sustainable manufacturing performance within a leading steel company.design/methodology/approach: initially, 28 valid indicators have been identified through insights from the company’s managers. a sequential algorithm integrating fuzzy dematel and interpretive structural modeling (ism) has been then utilized to elucidate the intensity and direction of effects among the indicators.findings: findings reveal that the “social” dimension of sustainable manufacturing had the most significant influence on other sustainability dimensions, while the” economic” dimension was found as the most influenced item. “real-time communication” and “collaboration among humans, machines, and sensors” emerged as the most potent capabilities of maintenance 4.0 for enhancing product sustainability. the item operating costs was addressed as a key performance indicator.practical implications: based on the proposed approach of this study, organizations can enhance their understanding of maintenance 4.0, optimize their sustainable manufacturing performance, and contribute to a more environmentally responsible and socially conscious approach to production.originality/value: this study underscores the intertwining nature of digitalization and sustainability, highlighting their potential synergy in driving performance indicators within a company. while previous research has predominantly focused on traditional maintenance performance metrics, overlooking the comprehensive effects of industry 4.0 and its technologies on maintenance and manufacturing performance, this study fills such a gap by employing a hybrid fuzzy dematel-ism approach.