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Digital Twins and Cyber-Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China..
Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China..
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.ORCID iD: 0000-0001-8679-8049
Natl Univ Singapore, Dept Mech Engn, Singapore 117575, Singapore..
2019 (English)In: ENGINEERING, ISSN 2095-8099, Vol. 5, no 4, p. 653-661Article in journal (Refereed) Published
Abstract [en]

State-of-the-art technologies such as the Internet of Things (IoT), cloud computing (CC), big data analytics (BDA), and artificial intelligence (AI) have greatly stimulated the development of smart manufacturing. An important prerequisite for smart manufacturing is cyber-physical integration, which is increasingly being embraced by manufacturers. As the preferred means of such integration, cyber-physical systems (CPS) and digital twins (DTs) have gained extensive attention from researchers and practitioners in industry. With feedback loops in which physical processes affect cyber parts and vice versa, CPS and DTs can endow manufacturing systems with greater efficiency, resilience, and intelligence. CPS and DTs share the same essential concepts of an intensive cyber-physical connection, real-time interaction, organization integration, and in-depth collaboration. However, CPS and DTs are not identical from many perspectives, including their origin, development, engineering practices, cyber-physical mapping, and core elements. In order to highlight the differences and correlation between them, this paper reviews and analyzes CPS and DTs from multiple perspectives.

Place, publisher, year, edition, pages
ELSEVIER , 2019. Vol. 5, no 4, p. 653-661
Keywords [en]
Cyber-physical systems (CPS), Digital twin (DT), Smart manufacturing, Correlation and comparison
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-260199DOI: 10.1016/j.eng.2019.01.014ISI: 000483321500015Scopus ID: 2-s2.0-85068798049OAI: oai:DiVA.org:kth-260199DiVA, id: diva2:1355865
Note

QC 20190930

Available from: 2019-09-30 Created: 2019-09-30 Last updated: 2019-09-30Bibliographically approved

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Wang, Lihui

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