An Integrated Hesitant Fuzzy-based SWOT Analysis for Industry 5.0 Technology Evaluation

Industry 5.0 is a revolutionary period that emphasizes the intersection of human innovation and modern technologies. This paper presents a strong evaluation framework using hesitant fuzzy-based Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis to assess the impact and potential of Industry 5.0 technologies. The integration of hesitant fuzzy-based SWOT analysis with Multi-Criteria Decision-Making (MCDM) methods offers an efficient methodology for such evaluations. The study employs Hesitant Fuzzy Linguistic (HFL) Analytic Hierarchy Process (AHP) and Additive Ratio Assessment (ARAS) methodology to address decision-makers’ uncertainty and hesitation. The HFL AHP approach is used to weight the SWOT factors. The HFL ARAS approach is then used to assess technologies like artificial intelligence, digital twins, cobots, 6 G, and the Internet of Everything. An exemplary application is offered to demonstrate the robustness of the suggested methodology. The results of this application have shown that competitive advantage is the most important SWOT factor and that artificial intelligence is the most appropriate technology.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/isas64331.2024.10845640
Primary Topic
Food Supply Chain Traceability
Type
article
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article

An Integrated Hesitant Fuzzy-based SWOT Analysis for Industry 5.0 Technology Evaluation

Esin Mukul, Merve Güler
Food Supply Chain Traceability
article

An Integrated Hesitant Fuzzy-based SWOT Analysis for Industry 5.0 Technology Evaluation

Esin Mukul, Merve Güler
article en

Abstract

Industry 5.0 is a revolutionary period that emphasizes the intersection of human innovation and modern technologies. This paper presents a strong evaluation framework using hesitant fuzzy-based Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis to assess the impact and potential of Industry 5.0 technologies. The integration of hesitant fuzzy-based SWOT analysis with Multi-Criteria Decision-Making (MCDM) methods offers an efficient methodology for such evaluations. The study employs Hesitant Fuzzy Linguistic (HFL) Analytic Hierarchy Process (AHP) and Additive Ratio Assessment (ARAS) methodology to address decision-makers’ uncertainty and hesitation. The HFL AHP approach is used to weight the SWOT factors. The HFL ARAS approach is then used to assess technologies like artificial intelligence, digital twins, cobots, 6 G, and the Internet of Everything. An exemplary application is offered to demonstrate the robustness of the suggested methodology. The results of this application have shown that competitive advantage is the most important SWOT factor and that artificial intelligence is the most appropriate technology.

Galatasaray University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Food Supply Chain Traceability
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