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Developing a digital twin and digital thread framework for an ‘industry 4.0’ shipyard

journal contribution
posted on 2024-11-02, 17:26 authored by Toh Yen PangToh Yen Pang, Juan Pelaez Restrepo, Chi Tsun ChengChi Tsun Cheng, Alim Yasin, Hailey Meaklim, 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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/app11031097
  2. 2.
    ISSN - Is published in 20763417

Journal

Applied Sciences (Switzerland)

Volume

11

Number

1097

Issue

3

Start page

1

End page

23

Total pages

23

Publisher

MDPIAG

Place published

Switzerland

Language

English

Copyright

Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Former Identifier

2006108272

Esploro creation date

2021-08-11

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