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Design and Implementation of Digital Twin-Based Application for Global Manufacturing Enterprises

Authors :
Dae Yub Lee
Sang Do Noh
Jeong Tae Kang
Jinho Yang
Yong-Shin Kang
Joohee Lym
Jungmin Song
Yu La Joe
Jonghwan Choi
Hyung Sun Kim
Sang Hyun Lee
Source :
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

Nowadays, global competition in the manufacturing sector is increasingly fierce. Thus, global manufacturing companies must have a manufacturing system that ensures the production of reasonably priced, high-quality products, while meeting the needs of various customers. To address this issue, smart manufacturing should be implemented by adopting various information and communication technologies and convergence with existing manufacturing industries. One of the key technologies required for the implementation of smart manufacturing is a cyber-physical system (CPS). One of the major factors for the successful construction of a CPS is digital twin (DT). In this paper, we propose a standards-based information model for building a DT application, which is a key technology of a CPS-based integrated platform, by overcoming the heterogeneous device environment of global manufacturers and using data collected from various manufacturing sites. Furthermore, we propose a concept of modeling and simulation-based DT application. The DT application proposed in this study facilitates monitoring, diagnosis, and prediction at manufacturing sites using real-time data collected from various environments by ensuring interoperability. Moreover, its validity is verified by applying the technology to a global manufacturing company of automotive parts.

Details

ISBN :
978-3-030-85913-8
ISBNs :
9783030859138
Database :
OpenAIRE
Journal :
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138
Accession number :
edsair.doi...........ab4b86bad52c85163952cd561f7b5412
Full Text :
https://doi.org/10.1007/978-3-030-85914-5_2