Research interest in the circular economy is continuously increasing, particularly through studying the impact and implications of circular principles within Industry 5.0. This paper aims to identify and classify the influential factors affecting human-centric maintenance practices in Industry 5.0, using the fuzzy DEMATEL method. By analyzing interdependencies between these factors, the research seeks to enhance sustainability and contribute to circular economy objectives by integrating human-centric approaches with advanced maintenance strategies. The findings reveal that Cost of Implementation (CI) and Waste Reduction (WR) emerge as effect factors, primarily influenced by technological, organizational, and strategic drivers. This classification underscores the importance of prioritizing digital technologies, workforce training, and human-machine collaboration to achieve cost-effective and sustainable maintenance solutions. The paper provides a comprehensive analysis of the interrelationships and relative importance of these factors, offering practical insights for industry practitioners and researchers aiming to align maintenance strategies with Industry 5.0 and circular economy goals.

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Classifying Influential Factors in Maintenance 5.0 Using Fuzzy DEMATEL: A Pathway to a Circular Economy

  • Zineb Aktef,
  • Anass Cherrafi,
  • Nadia Hamani,
  • Khadija Echefaj,
  • Said Elfezazi

摘要

Research interest in the circular economy is continuously increasing, particularly through studying the impact and implications of circular principles within Industry 5.0. This paper aims to identify and classify the influential factors affecting human-centric maintenance practices in Industry 5.0, using the fuzzy DEMATEL method. By analyzing interdependencies between these factors, the research seeks to enhance sustainability and contribute to circular economy objectives by integrating human-centric approaches with advanced maintenance strategies. The findings reveal that Cost of Implementation (CI) and Waste Reduction (WR) emerge as effect factors, primarily influenced by technological, organizational, and strategic drivers. This classification underscores the importance of prioritizing digital technologies, workforce training, and human-machine collaboration to achieve cost-effective and sustainable maintenance solutions. The paper provides a comprehensive analysis of the interrelationships and relative importance of these factors, offering practical insights for industry practitioners and researchers aiming to align maintenance strategies with Industry 5.0 and circular economy goals.