A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems
- Resource Type
- Conference
- Authors
- Qamsane, Yassine; Chen, Chien-Ying; Balta, Efe C.; Kao, Bin-Chou; Mohan, Sibin; Moyne, James; Tilbury, Dawn; Barton, Kira
- Source
- 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) Automation Science and Engineering (CASE), 2019 IEEE 15th International Conference on. :1394-1401 Aug, 2019
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Real-time systems
Monitoring
Smart manufacturing
Data models
Manufacturing systems
- Language
- ISSN
- 2161-8089
Digital Twin (DT) is one of the key enabling technologies for realizing the promise of Smart Manufacturing (SM) and Industry 4.0 to improve production systems operation. Driven by the generation and analysis of high volume data coming from interconnected cyber and physical spaces, DTs are real-time digital images of physical systems, processes or products that help evaluate and improve business performance. This paper proposes a novel DT architecture for the real-time monitoring and evaluation of large-scale SM systems. An application to a manufacturing flow-shop is presented to illustrate the usefulness of the proposed methodology.