Digital Twin Integration for Workforce Training: Transforming SMEs in the Ornamental Stone Industry

Digital twin technology offers immersive and cost-effective solutions for workforce training, yet its practical implementation within SME training frameworks remains limited. This study develops and evaluates the Digital Twin Framework for Workforce Training (DT4WFT), addressing key challenges such as resource constraints and precision through tools like Siemens NX Mechatronic Concept Design (MCD) and StoneCUT@Line®. Employing a mixed-methods approach, qualitative insights from managers, and quantitative analysis demonstrated the framework’s potential to enhance operator performance, improve efficiency, and reduce lead times. However, the validation was based solely on managerial perceptions, as the framework has not yet been implemented in real-world settings. Statistical analysis confirmed strong correlations between the framework’s perceived implementation and improved training outcomes, highlighting its scalability and adaptability. Future research should focus on practical implementation, cross-industry applications, and longitudinal studies to evaluate sustained impacts, ensuring the DT4WFT framework’s broader relevance and effectiveness in workforce development.

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Publication Details

Journal
Systems
Published
2025-02-13
DOI
https://doi.org/10.3390/systems13020120
Citations
3
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
3.73
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article

Digital Twin Integration for Workforce Training: Transforming SMEs in the Ornamental Stone Industry

Agostinho da Silva, Joel Vasco, C. Capela, Marcelo Gaspar et al.
3 citations
Systems
Digital Transformation in Industry
3.73
article

Digital Twin Integration for Workforce Training: Transforming SMEs in the Ornamental Stone Industry

Agostinho da Silva, Joel Vasco, C. Capela, Marcelo Gaspar, Carlos Eduardo Cremonini
article en
3 citations

Abstract

Digital twin technology offers immersive and cost-effective solutions for workforce training, yet its practical implementation within SME training frameworks remains limited. This study develops and evaluates the Digital Twin Framework for Workforce Training (DT4WFT), addressing key challenges such as resource constraints and precision through tools like Siemens NX Mechatronic Concept Design (MCD) and StoneCUT@Line®. Employing a mixed-methods approach, qualitative insights from managers, and quantitative analysis demonstrated the framework’s potential to enhance operator performance, improve efficiency, and reduce lead times. However, the validation was based solely on managerial perceptions, as the framework has not yet been implemented in real-world settings. Statistical analysis confirmed strong correlations between the framework’s perceived implementation and improved training outcomes, highlighting its scalability and adaptability. Future research should focus on practical implementation, cross-industry applications, and longitudinal studies to evaluate sustained impacts, ensuring the DT4WFT framework’s broader relevance and effectiveness in workforce development.

SystemsVol. 13(2)
University of Beira Interior (PT), Instituto Politécnico de Leiria (PT), University of Coimbra (PT), University of Minho (PT)
Openalex Percentile: Top 8%
Digital Transformation in Industry
3.73
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