Abstract

Recent technology advancements, such as smart sensors, Internet of Things (IoT), cloud computing, machine learning, and artificial intelligence (AI), have enabled digitization in manufacturing and facilitated the development of digital twins in manufacturing. However, because of its interdisciplinary nature and complexity, there remains a lot of confusion about the digital twin concept and how it can be implemented in real manufacturing systems. This talk will discuss the concept, definitions, classifications, and applications of digital twins in manufacturing. Currently, NIST-involved relevant standards and consortium efforts, including ISO 23247 (Digital Twin Framework for Manufacturing), are also introduced. 

Biography

Dr. Gordon Shao is a Computer Scientist in the Systems Integration Division of the Engineering Laboratory at the National Institute of Standards and Technology (NIST). He manages the Digital Twins for Advanced Manufacturing Project and focuses on generic guidelines and methodologies for implementing digital twins and relevant standards development and testing. He is a technical expert of standards committees including ISO TC 184 SC 4 and ISO/IEC JTC 1 SC 41 and a co-chair of the Digital Twin Interoperability Task Group (DTITG) within the Industry IoT Consortium (IIC).