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Abstract
Digital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data analytics for product and process control. Conventional manufacturing setups are still widely used all around the world for the fabrication of large-scale production. This article proposes a general DT implementation architecture for engineering objects/artifacts used in conventional manufacturing. It will empower manufacturers to leverage DT for real-time decision-making, control, and prediction for efficient production. An application scenario of Decisional-DNA based anomaly detection for conventional manufacturing tools is demonstrated as a case study to explain the architecture.
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Authors (3)
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Syed Imran Shafiq
- Aligarh University, India
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Cesar Sanin
- AIH, Australia
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2022.2162742
- License
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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CYBERNETICS AND SYSTEMS
no. 55,
pages 719 - 729,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Shafiq S. I., Sanin C., Szczerbicki E.: Decisional-DNA-Based Digital Twin Implementation Architecture for Virtual Engineering Objects// CYBERNETICS AND SYSTEMS -Vol. 55,iss. 3 (2024), s.719-729
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2022.2162742
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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