The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
Digital twin-based sustainable intelligent manufacturing: a review
Open accessAbstract
As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.
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Cites
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Cited by
Digital twin: origin to future
Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021) · Applied System Innovation · doi:10.3390/asi4020036 · Cited by 1,038
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
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Sepasgozar, S. M. E. (2021) · Buildings · doi:10.3390/buildings11040151 · Cited by 367
Applications of Digital Twin across Industries: A Review
Singh, M., Srivastava, R., Fuenmayor, E., Kuts, V., Qiao, Y., Murray, N., & Devine, D. (2022) · Applied Sciences · doi:10.3390/app12115727 · Cited by 355
A framework for data-driven digital twins of smart manufacturing systems
Friederich, J., Francis, D. P., Lazarova-Molnar, S., & Mohamed, N. (2022) · Computers in Industry · doi:10.1016/j.compind.2021.103586 · Cited by 323
Metadata
- Authors
- He, B., & Bai, K.-J.
- Venue
- Advances in Manufacturing
- Published
- 2020-05-04
- Volume
- 9
- Issue
- 1
- Pages
- 1-21
- ISSN
- 2095-3127 (ISSN-L)
- 2195-3597
- OpenAlex
- W3022972893
- Cited by
- 621
- References
- 154
- FWCI
- 50.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
