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This manuscript analyzes the convergence between Operational Technology (OT) and Information Technology (IT) through Digital Twins (DT), emphasizing their significance for industrial digital transformation. The study investigates how DTs facilitate IT/OT integration in industrial contexts with varying digital maturities, employing a qualitative methodology based on multiple case studies. Two distinct scenarios were evaluated: an academic environment with customized SCARA robots using accessible technologies, and an advanced simulation for process validation in the automotive industry. The results highlight DTs’ potential to promote accessibility, low cost, and technical learning in the first scenario, and operational efficiency, risk reduction, and time optimization in the second. The study concludes that DTs are adaptable strategic tools for both educational and complex industrial environments, recommending further research on integration with emerging technologies such as artificial intelligence and cloud computing.

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Digital Twins as a Vector of Convergence Between Operational Technology (OT) and Information Technology (IT)

  • 会议论文

  • 发表日期：

    2026年

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  • William Aparecido Celestino Lopes,
  • Adilson Cunha Rusteiko,
  • Cleiton Rodrigues Mendes,
  • Nicolas Vinicius Cruz Honório,
  • Marcelo Tsuguio Okano

摘要

This manuscript analyzes the convergence between Operational Technology (OT) and Information Technology (IT) through Digital Twins (DT), emphasizing their significance for industrial digital transformation. The study investigates how DTs facilitate IT/OT integration in industrial contexts with varying digital maturities, employing a qualitative methodology based on multiple case studies. Two distinct scenarios were evaluated: an academic environment with customized SCARA robots using accessible technologies, and an advanced simulation for process validation in the automotive industry. The results highlight DTs’ potential to promote accessibility, low cost, and technical learning in the first scenario, and operational efficiency, risk reduction, and time optimization in the second. The study concludes that DTs are adaptable strategic tools for both educational and complex industrial environments, recommending further research on integration with emerging technologies such as artificial intelligence and cloud computing.