Enabling the Future Factory: Digital Twin Standards in Digital Manufacturing
Enabling the Future Factory: Digital Twin Standards in Digital Manufacturing
Enabling the Future Factory: Digital Twin Standards in Digital Manufacturing
Guodong (Gordon) Shao, Ph.D.
Computer Scientist, Systems Integration Division (SID), Engineering Laboratory (EL), National Institute of Standards and Technology (NIST)
Abstract:
As manufacturing systems evolve toward greater intelligence, adaptability, and sustainability, digital twins have emerged as a foundational enabler of the future factory. However, realizing their full potential requires consistency, trust, interoperability, and lifecycle integration, challenges that cannot be addressed without robust standards. This presentation explores how current and future digital twin standards, such as ISO 23247, provide the structure needed for scalable, traceable, and trustworthy digital manufacturing systems. By mapping these standards to the layers of digital manufacturing, from data and models to communication and lifecycle assurance, seamless collaboration between design and operations can be enabled.
Biography:
Dr. Guodong (Gordon) Shao is a Computer Scientist in the Systems Integration Division (SID) of the Engineering Laboratory (EL) at the National Institute of Standards and Technology (NIST). His current research topics include digital twins, modeling and simulation, data analytics, optimization, and model verification and validation for Advanced Manufacturing. He manages the Digital Twins for Advanced Manufacturing Project and focuses on relevant standards development and testing. He is a technical lead and expert on standards committees, including ISO TC 184 SC 4, ISO/IEC JTC 1 SC 41, and AMSE V&V 50, a co-chair of the new Verification and Validation sub-working group in the Digital Twin Consortium (DTC), and was a co-chair of the Digital Twin Interoperability Task Group in the Industry IoT Consortium (IIC). He’s on the Board of Directors of the Winter Simulation Conference.