Transforming industry: Investigating 4.0 technologies for sustainable product evolution in china through a novel fuzzy three-way decision-making process

Wenqi Duan, Adnan Khurshid, Khalid Khan and Adrian Cantemir Calin

Technological Forecasting and Social Change, 2024, vol. 200, issue C

Abstract: This study aims to contribute to expanding international academic interest in enhancing the business, ecological, and social aspects of Industry 4.0. Specifically, the objectives of this study are twofold: (1) to assess the suitability of Industry 4.0 technologies for the triple bottom lines at the product level, and (2) to evaluate these technologies based on product sustainability criteria. Therefore, this study develops a novel Fuzzy Ortho-triplet interval-valued approach for securitizing technologies. To conduct a comprehensive evaluation, this study examines the perspectives of professional technologists holding significant positions as internal and external stakeholders in addressing technological matters within various organizations. The survey results revealed the extent to which nine key technologies could contribute to sustainability at the product level. The results showed that augmented VR has significant potential for advancing social sustainability at the manufacturing level. Similarly, big data analysis exhibits promising results for environmentally and economically sustainable practices at the product level. Policymakers interested in knowing about technologies and how they can be used to make sustainable products would benefit from this kind of assessment, which is essential for sustainable development.

Keywords: Automotive circular economy; Fuzzy Ortho-triplet interval-valued approach; Techno-sustainability assessment; Sustainable manufacturing 4.0; Industry 4.0 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523008107

DOI: 10.1016/j.techfore.2023.123125

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