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

Huai-Wei Lo; Hsiu-Wen Chan; Jhe-Wei Lin; Sheng-Wei Lin

doi:10.31181/jopi21202416

Authors

Huai-Wei Lo Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan Author https://orcid.org/0000-0002-8281-8740
Hsiu-Wen Chan Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan Author https://orcid.org/0000-0003-1545-0488
Jhe-Wei Lin Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan Author https://orcid.org/0000-0002-7922-6269
Sheng-Wei Lin Department of Financial Management, Nation Defense University, Taipei, Taiwan Author https://orcid.org/0000-0003-3496-4580

DOI:

https://doi.org/10.31181/jopi21202416

Keywords:

Industry 5.0, Fuzzy technique, DEMATEL

Abstract

The maturation of the Industry 4.0 concept has brought numerous benefits to human society; however, it is not without 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, though its practical implementation has not yet been fully realized. This paper presents a novel conceptual framework to analyze and evaluate the complex interrelationships of development factors in Industry 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. 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 the factors "Renewable Energy," "Data-Driven Analysis Technologies," and "Distributed Control" emerging as the most significant within their respective dimensions.

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Author Biographies

Huai-Wei Lo, Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan

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Hsiu-Wen Chan, Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan

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Jhe-Wei Lin, Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan

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Sheng-Wei Lin, Department of Financial Management, Nation Defense University, Taipei, Taiwan

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