State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries
Author:
Affiliation:
1. School of Engineering, London South Bank University, London, UK
Funder
London South Bank University
London Doctoral College, UK
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2024.2387775
Reference134 articles.
1. Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
2. Methodology for enabling Digital Twin using advanced physics-based modelling in predictive maintenance
3. The use of Digital Twin for predictive maintenance in manufacturing
4. Cyber-physical systems and their security issues
5. Optimization of Industry 4.0 Implementation Selection Process towards Enhancement of a Manual Assembly Line
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