| Title |
Scrutinizing state-of-the-art I4.0 technologies toward sustainable products development under fuzzy environment |
| ID_Doc |
25476 |
| Authors |
Gholami, H; Hashemi, A; Lee, JKY; Abdul-Nour, G; Salameh, AA |
| Title |
Scrutinizing state-of-the-art I4.0 technologies toward sustainable products development under fuzzy environment |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.jclepro.2022.134327 |
| Abstract |
To contribute to a growing global research interest that has evolved toward augmenting the economic, envi-ronmental, and societal values of Industry 4.0 in the manufacturing context, this study is intended to (1) survey the applicability of Industry 4.0 technologies in each of the triple bottom lines at the product level and (2) scrutinize the technologies based on product sustainability criteria using the application of the fuzzy Technique for Order of Preference by Similarity to Ideal Solution. Yet, there is a significant paucity of knowledge and uncertainty about the applicability of these technologies to developing sustainable products, hence providing an opportunity for innovative research. To be a sound assessment, this study investigates the perceptions of pro-fessional technologists, who play an important role as both internal and external stakeholders in addressing technological issues within organizations including multinationals. The findings obtained by the survey indicated the applicability level of six major technologies in contributing to product-level sustainability. The findings obtained by the fuzzy-based application revealed that 'Big Data Analytics' has the highest performance for developing sustainable products. Such an assessment, which is of critical importance to sustainable development, would be beneficial to policy-and decision-makers seeking to get a better understanding of the technologies and their applicability to sustainable products development. |
| Author Keywords |
Industry 4; 0 technologies; Sustainable manufacturing 4; 0; Sustainable product indicators; Techno-sustainability assessment; Fuzzy TOPSIS; Automotive circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000878852700002 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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