ABSTRACT. The purpose of this study is to examine 3D modeling and simulation technologies, machine vision and path planning algorithms, and computational intelligence and digital twin simulation tools. Throughout January 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the industrial metaverse” + “digital twin-based cyber-physical production and interactive 3D geo-visualization systems,” “virtual machine and image processing computational algorithms,” and “ambient sound recognition and decision intelligence tools.” As we inspected research published between 2022 and 2023, only 141 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 25, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.
JEL codes: D53; E22; E32; E44; G01; G41

Keywords: digital twin-based cyber-physical production; interactive 3D geo-visualization systems; virtual machine; image processing computational algorithms; ambient sound recognition; decision intelligence tools; industrial metaverse

How to cite: Nica, E., Belas, J., and Ondrejka, R. (2023). “Digital Twin-based Cyber-Physical Production and Interactive 3D Geo-Visualization Systems, Virtual Machine and Image Processing Computational Algorithms, and Ambient Sound Recognition and Decision Intelligence Tools in the Industrial Metaverse,” Journal of Self-Governance and Management Economics 11(1): 9–24. doi: 10.22381/jsme11120231.

Received 19 January 2023 • Received in revised form 24 March 2023
Accepted 28 March 2023 • Available online 30 March 2023