Past, present, and future research of digital twin for smart manufacturing

  • Yoo Ho Son
  • , Goo Young Kim
  • , Hyeon Chan Kim
  • , Chanmo Jun
  • , Sang Do Noh

Research output: Contribution to journalReview articlepeer-review

67 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1-23
Number of pages23
JournalJournal of Computational Design and Engineering
Volume9
Issue number1
DOIs
StatePublished - 1 Feb 2022

Keywords

  • Digital twin
  • Product lifecycle management
  • Reference Architecture Model Industry 4.0
  • Smart factory
  • Smart manufacturing

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