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转型工业:通过一种新颖的模糊三向决策过程研究中国可持续产品演进的4.0技术

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

Technological Forecasting and Social Change · 2023
被引 59
ABS 3

中文导读

研究评估九种工业4.0技术在产品层面促进可持续发展的潜力,发现增强虚拟现实和数据分析分别对社会和环境经济可持续性有显著作用,对政策制定者选择技术有参考价值。

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.

工业4.0可持续产品模糊决策中国制造业