Aims & Scope

The progression of technologies, including artificial intelligence (AI), big data analytics,  the Internet of Things (IoT), and complex system modeling, has continually opened new  opportunities while posing critical challenges for the manufacturing industry. Digital twin  provides a unified methodological framework for integrating these technologies and enabling  seamless cyber-physical integration.

A key question for both researchers and industry professionals is how the conceptual strengths  of digital twin can be utilized to enhance the cognitive capabilities of manufacturing systems,  improve production quality and efficiency, and reduce operational costs.

Addressing this challenge, this session provides an open platform for interdisciplinary  discussions on innovative applications of digital twin in smart manufacturing.

The session topics include but are not limited to:

• •Digital Twin & Smart Manufacturing Equipment
• •Digital Twin & Smart Manufacturing Processes
• •Digital Twin & Smart Manufacturing Workshops

Call for Presentations

Call for Presentations is now open. Researchers and industry professionals are invited to submit presentation proposals.

Please see the Call for Presentations for details.