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Make more digital twins
Open accessAbstract
Virtual models boost smart manufacturing by simulating decisions and optimization, from design to operations, explain Fei Tao and Qinglin Qi. Virtual models boost smart manufacturing by simulating decisions and optimization, from design to operations, explain Fei Tao and Qinglin Qi.
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“The fragmentation of data ownership, disparate data types, and challenges related to patenting and proprietary knowledge further limit accessibility and integration [133].”
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“Synthetic datasets are artificially generated to reflect the characteristics of real patient data and can be used to train and test models without exposing sensitive information [80].”
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- Pettey, C. ‘Prepare for the impact of digital twins’ (2017). Gartner report available at https://go.nature.com/2krzbjd
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Metadata
- Authors
- Tao, F., & Qi, Q.
- Affiliations
- Beihang University (CN)
- Corresponding author
- Tao, Fei
- Qi, Qinglin
- ORCID
- Venue
- Nature
- Published
- 2019-09-25
- Volume
- 573
- Issue
- 7775
- Pages
- 490-491
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2976301483
- Cited by
- 799
- References
- 2
- Citations by year
- 2026: 108 · 2025: 174 · 2024: 165 · 2023: 132 · 2022: 112 · 2021: 73 · 2020: 30 · 2019: 5
- FWCI
- 40.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, other-oa)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Keywords
- digital twin, virtual models, smart manufacturing, decision simulation, optimization, product design, manufacturing operations
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