TY - JOUR
T1 - Past, present, and future research of digital twin for smart manufacturing
AU - Son, Yoo Ho
AU - Kim, Goo Young
AU - Kim, Hyeon Chan
AU - Jun, Chanmo
AU - Noh, Sang Do
N1 - Publisher Copyright:
© 2022 Society for Computational Design and Engineering. All rights reserved.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - 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.
AB - 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.
KW - Digital twin
KW - Product lifecycle management
KW - Reference Architecture Model Industry 4.0
KW - Smart factory
KW - Smart manufacturing
UR - https://www.scopus.com/pages/publications/85125012028
U2 - 10.1093/jcde/qwab067
DO - 10.1093/jcde/qwab067
M3 - Review article
AN - SCOPUS:85125012028
SN - 2288-4300
VL - 9
SP - 1
EP - 23
JO - Journal of Computational Design and Engineering
JF - Journal of Computational Design and Engineering
IS - 1
ER -