Digital twin-based process reuse and evaluation approach for smart process planning
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Digital twins monitor an assembly process.
“an assembly process [33,41]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [41]
Some DT applications in the reviewed literature do not comply with either of the two mentioned service groups, being developed specifically to offer one single service, such as only system monitoring or performance optimization.
“Some DT applications in literature do not comply with one of the two mentioned groups, as they are developed specifically to offer one single service, such as only for system monitoring ([67,72]), or for performance optimization ([41,64,73]).”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [41]
In other reviewed cases, the production system is represented with a Discrete Event System (DES) model.
“in other cases the representation of the production system is done with a Discrete Event System (DES) model [28,37,41,44].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [41]
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- Authors
- Liu, J., Zhou, H., Tian, G., Liu, X., & Jing, X.
- Affiliations
- Jiangsu University of Science and Technology (CN)
- Southeast University (CN)
- Corresponding author
- Liu, Jinfeng
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2018-10-06
- Volume
- 100
- Issue
- 5-8
- Pages
- 1619-1634
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W2895370217
- Cited by
- 131
- References
- 38
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 9 · 2023: 21 · 2022: 30 · 2021: 22 · 2020: 17 · 2019: 13
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The International Journal of Advanced Manufacturing Technology (publishedVersion)
- Funders
- the National Natural Science Foundation of China (51605204)
- China Postdoctoral Science Foundation (No. 2018M630536)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Engineering Technology and Methodologies
- Keywords
- digital twin, machining process planning, big data, association rule mining
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