期刊
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
卷 9, 期 1, 页码 1-23出版社
OXFORD UNIV PRESS
DOI: 10.1093/jcde/qwab067
关键词
digital twin; product lifecycle management; Reference Architecture Model Industry 4.0; smart manufacturing; smart factory
资金
- Ministry of Trade, Industry and Energy (MOTIE)
- Korea Institute for Advancement of Technology (KIAT) in South Korea through the International Cooperative RD program [P0009839]
- Korea Institute for Advancement of Technology (KIAT) in South Korea through the Virtual Engineering Platform Deployment Project [N0002602]
- Korea Evaluation Institute of Industrial Technology (KEIT) [N0002602, P0009839] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In this study, previous research on digital twin (DT) was analyzed and classified based on various phases of product lifecycle management, the application field of DT in manufacturing, and the hierarchy level axis of Reference Architecture Model Industry 4.0. The major functions of DT were identified and future research directions and a system architecture to perform all DT functions were proposed.
In the era of the Fourth Industrial Revolution, there is a growing focus on digital twin (DT) in order to advance toward smart manufacturing. Thus, researchers have conducted numerous studies on DT and extensively developed related technologies. There are many studies that apply and analyse DT to actual manufacturing sites for the realization of a smart factory, but it is necessary to clearly consider which part of DT is applied and what function it performs in manufacturing. As such, this study analysed and classified prior literature based on various phases of product lifecycle management, an application field of DT in manufacturing, and the hierarchy level axis of Reference Architecture Model Industry 4.0, the target scope of DT. Accordingly, this study identified research trends in the past and present as well as analysed and identified the major functions of DT (prototyping, pilot testing, monitoring, improvement, and control). Through a gab study on the inadequate aspects of past and present researches, this study proposes directions for future studies on DT and a system architecture that can perform all the functions of DT.
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