Evaluation of the use of digital twins in the production systems
DOI:
https://doi.org/10.15649/2346030X.4382Keywords:
digital twins, industry 5.0, production optimization, predictive analysis, continuous improvementAbstract
The objective of this research was to evaluate the use of digital twins used in production systems as a process improvement tool for organizational adaptation focused on industry 5.0. Utilizing the PRISMA methodology, a systematic literature review was conducted on publications from the last five years from the Scielo, Dialnet, and Scopus databases, focusing on identifying, analyzing, and evaluating the models of digital twins applied in various production contexts. The results indicate a variety of digital twin models, from integrated systems of simulation and data analysis to specific solutions for process optimization and preventive maintenance. It was observed that digital twins significantly improve operational efficiency, inventory management, and adaptability in response to market fluctuations. Additionally, they facilitate the integration of new technologies and promote a culture of continuous improvement and adaptability within organizations. In conclusion, digital twins are presented as crucial tools for advancing towards industry 5.0, offering significant benefits in terms of operational efficiency and adaptability. Their implementation allows companies to improve decision-making, increase operational efficiency, reduce costs, optimize processes, and respond faster and more effectively to the demands of the current and changing competitive environment.
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