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Opportunities for Industry 4.0 to Support Remanufacturing
Open accessAbstract
Remanufacturing is the process of bringing end-of-life products back to good-as-new. It plays a critical role in decoupling economic growth from growth in resource use, and in accelerating the circular economy. However, the uptake of remanufacturing activities faces obstacles. This paper reviews the challenges encountered by the remanufacturing sector and discusses how the Industry 4.0 revolution could help to effectively address these issues and unlock the potential of remanufacturing. Two case studies are included in this paper to exemplify how technology enablers from Industry 4.0 can increase efficiency, reliability, and digitization of the remanufacturing process.
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“The rise of I4.0 has led to the rapid growth of data volume (hence the term, Big Data) [63].”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [63]
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Metadata
- Authors
- Yang, S., M. R., A. R., Kaminski, J., & Pepin, H.
- Affiliations
- Agency for Science, Technology and Research (SG)
- Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), 3 CleanTech Loop, #01/01, CleanTech Two, Singapore 637143, Singapore
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2018-07-19
- Volume
- 8
- Issue
- 7
- Pages
- 1177
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W2884262578
- Cited by
- 190
- References
- 11
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 27 · 2023: 30 · 2022: 34 · 2021: 37 · 2020: 30 · 2019: 9 · 2018: 2
- FWCI
- 32.60
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- remanufacturing, Industry 4.0, circular economy, end-of-life products, technology enablers, resource efficiency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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