ABSTRACT. The present study systematically reviews the existing research on autonomous manufacturing plants in the virtual environment of the metaverse. Throughout July 2024, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “autonomous manufacturing plants in the virtual environment of the metaverse” + “multi-sensor fusion and 3D digital twin modeling technologies,” “collaborative industrial artificial intelligence-based Internet of Things factory and mobile edge computing networks,” and “context-aware augmented reality and machine learning-based production planning systems.” As research published in 2022 and 2023 was inspected, only 159 articles satisfied the eligibility criteria, and 20 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: Abstrackr, CASP, Colandr, JBI SUMARI, Nested Knowledge, and ROBIS.
JEL codes: D53; E22; E32; E44; G01; G41

Keywords: 3D digital twin modeling; industrial artificial intelligence; Internet of Things; production planning; autonomous manufacturing plant; metaverse

How to cite: Popescu, G. H., Durana, P., Zabojnik, S., and Szpilko, D. (2024). “Multi-Sensor Fusion and 3D Digital Twin Modeling Technologies, Collaborative Industrial Artificial Intelligence-based Internet of Things Factory and Mobile Edge Computing Networks, and Context-Aware Augmented Reality and Machine Learning-based Production Planning Systems for Autonomous Manufacturing Plants in the Virtual Environment of the Metaverse,” Journal of Self-Governance and Management Economics 12(4): 54–68. doi: 10.22381/jsme12420244.

Received 21 August 2024 • Received in revised form 17 December 2024
Accepted 24 December 2024 • Available online 29 December 2024