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Digital Twin-based Cyber-Physical Production Systems in Immersive 3D Environments: Virtual Modeling and Simulation Tools, Spatial Data Visualization Techniques, and Remote Sensing Technologies

Digital Twin-based Cyber-Physical Production Systems in Immersive 3D Environments: Virtual... The objective of this paper is to systematically review digital twinbased cyber-physical production systems in immersive 3D environments. The findings and analyses highlight that multi-source heterogeneous product lifecycle data, machining equipments and tools, and digital manufacturing technology can be harnessed in digital twin-driven applications. Throughout March 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “digital twin” + “cyber-physical production systems,” “immersive 3D environments,” “virtual modeling and simulation tools,” “spatial data visualization techniques,” and “remote sensing technologies.” As research published in 2022 was inspected, only 144 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 19 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: digital twin; cyber-physical production system; immersive 3D environment http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Digital Twin-based Cyber-Physical Production Systems in Immersive 3D Environments: Virtual Modeling and Simulation Tools, Spatial Data Visualization Techniques, and Remote Sensing Technologies

Juraj Cug
Economics, Management, and Financial Markets , Volume 17 (2): 15 – Jan 1, 2022
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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1842-3191
eISSN
1938-212X
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Abstract

The objective of this paper is to systematically review digital twinbased cyber-physical production systems in immersive 3D environments. The findings and analyses highlight that multi-source heterogeneous product lifecycle data, machining equipments and tools, and digital manufacturing technology can be harnessed in digital twin-driven applications. Throughout March 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “digital twin” + “cyber-physical production systems,” “immersive 3D environments,” “virtual modeling and simulation tools,” “spatial data visualization techniques,” and “remote sensing technologies.” As research published in 2022 was inspected, only 144 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 19 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: digital twin; cyber-physical production system; immersive 3D environment

Journal

Economics, Management, and Financial Markets – Addleton Academic Publishers

Published: Jan 1, 2022

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