Juan Pelaez-Restrepo

Mr. Juan Pelaez-Restrepo

RMIT University, Melbourne Australia
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2021 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
JBJ.D. Benther
J.D. Benther
JPJuan Pelaez-Restrepo
Juan Pelaez-Restrepo
CSC. Stanley
C. Stanley
GRG. Rosengarten
G. Rosengarten

25 January 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Toh Yen PangToh Yen Pang
Toh Yen Pang
JPJuan Pelaez-Restrepo
Juan Pelaez-Restrepo
Chi-Tsun ChengChi-Tsun Cheng
Chi-Tsun Cheng
AYAlim Yasin
Alim Yasin
HLHailey Lim
Hailey Lim
MMMiro Miletic
Miro Miletic
This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process; however, the huge amount of data that are generated and collected by a digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance and ensure continuity and traceability of information. The digital twin/thread framework incorporates behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, databases and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing the optimization of operational processes and traceability of information in the physical world, especially in an Industry Shipyard 4.0.

12 December 2020 in Preprints.org
Verified
Preprint
Open access
Toh Yen PangToh Yen Pang
Toh Yen Pang
JPJuan Pelaez-Restrepo
Juan Pelaez-Restrepo
BCBen Cheng
Ben Cheng
AYAlim Yasin
Alim Yasin
HLHailey Lim
Hailey Lim
MMMiro Miletic
Miro Miletic
This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process; however, the huge amount of data that are generated and collected by digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance, and to ensure continuity and traceability of information. The digital twin/thread framework incorporated behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, cloud computing set-up, and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing optimization of operational processes and traceability of information in the physical world, especially in Industry Shipyard 4.0.