Abstract

Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry. It has been almost 15 years since the concept of the DT was initially proposed. To date, many DT applications have been successfully implemented in different industries, including product design, production, prognostics and health management, and some other fields. However, at present, no paper has focused on the review of DT applications in industry. In an effort to understand the development and application of DTs in industry, this paper thoroughly reviews the state-of-the-art of the DT research concerning the key components of DTs, the current development of DTs, and the major DT applications in industry. This paper also outlines the current challenges and some possible directions for future work.

Keywords

Industry 4.0PrognosticsKey (lock)Cyber-physical systemState (computer science)Manufacturing engineeringComputer scienceManufacturingProduct (mathematics)Systems engineeringEngineeringEngineering managementBusinessComputer securityEmbedded systemReliability engineeringMarketing

Affiliated Institutions

Related Publications

Publication Info

Year
2019
Type
article
Volume
15
Issue
4
Pages
2405-2415
Citations
3254
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

3254
OpenAlex

Cite This

Fei Tao, He Zhang, Ang Liu et al. (2019). Digital Twin in Industry: State-of-the-Art. IEEE Transactions on Industrial Informatics , 15 (4) , 2405-2415. https://doi.org/10.1109/tii.2018.2873186

Identifiers

DOI
10.1109/tii.2018.2873186