Validating and Advancement

Credit: Image by Pete Linforth from Pixabay

Validating and advancing digital twins (DTs) is critical. As these virtual models become increasingly sophisticated, their reliability directly dictates the operational efficiency and safety of physical systems. Advancement is demonstrated by articles focusing on architectural evolution, such as human-in-the-Loop architecture to ensure collaborative, informed decision-making in complex environments. However, as the complexity of these models increases rigorous validation becomes the cornerstone of trust. Continuous validation and strategic advancement ensure that DTs remain high-fidelity, synchronized assets capable of providing trustworthy insights for optimization, risk management, and the overall resilience of modern smart manufacturing processes. Below are NIST articles that discuss the validation of DTs.

• Credibility consideration for digital twins in manufacturing
  • Shao, Guodong, Hightower, Joe,  Schindel, William . (2023). "Credibility consideration for digital twins in manufacturing." Manufacturing Letters, Volume 35, 2023, Pages 24-28. https://doi.org/10.1016/j.mfglet.2022.11.009
• Enhancing Digital Twins with Advances in Simulation and Artificial Intelligence: Opportunities and Challenges
  • Shao, G., Jones, A., & Kim, D. B. (2024). Enhancing digital twins with advances in simulation and artificial intelligence: Opportunities and challenges. 2023 Winter Simulation Conference (WSC), 2831–2842. https://ieeexplore.ieee.org/abstract/document/10408011
• Conceptual Architecture of Digital Twin With Human-in-the-Loop-Based Smart Manufacturing
  • Kim, D. B., Bajestani, M. S., Shao, G., Jones, A., & Noh, S. D. (2023). "Conceptual architecture of digital twin with human-in-the-loop-based smart manufacturing." Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition. https://doi.org/10.1115/IMECE2023-112791