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      Evaluating the Interrelationships of Industrial 5.0 Development Factors Using an Integration Approach of Fermatean Fuzzy Logic

      , , , , Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan, Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan , Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan , Department of Financial Management, Nation Defense University, Taipei, Taiwan
      Journal of Operations Intelligence
      Scientific Oasis

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          Abstract

          The maturation of the Industry 4.0 concept has brought numerous benefits to human society. However, it is not without its challenges, including neglect of worker welfare, vulnerability of global supply chains, and environmental degradation. To enhance the adaptability of the Industry 4.0 concept, Industry 5.0 has been developed. As of now, the practical implementation of Industry 5.0 has not yet been fully realized. This paper presents a novel conceptual framwork to analyze and evaluate the complex interrelationships of development factors in Industrial 5.0. Through extensive literature review and prolonged interviews with experts, three critical dimensions and their 18 key factors for the development of Industry 5.0 have been identified. Herein, a combination of Fermatean Fuzzy sets (FFs) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) has been employed to discern the interrelationships among these factors, and an Influential Network Relationship Map (INRM) has been constructed to aid decision-makers in formulating improvement strategies. The results indicate that “Sustainable Development” is the most influential dimension, with factors “Renewable Energy,” “Data-Driven Analysis Technologies,” and “Distributed Control” emerging as the most significant factors within their respective dimensions.

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          Author and article information

          Journal
          Journal of Operations Intelligence
          J. Oper. Intell.
          Scientific Oasis
          30094267
          January 23 2024
          January 23 2024
          January 23 2024
          January 23 2024
          : 2
          : 1
          : 95-113
          Article
          10.31181/jopi21202416
          b0bf1eb6-3aaf-4668-bb28-9d6e3aafe071
          © 2024
          History

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