This session aims to establish a premier interdisciplinary platform for advancing the theory, methodology, and industrial application of Digital Twin technology in the realm of equipment quality engineering. It seeks to bridge the gap between cutting-edge digital technologies and the entire lifecycle quality management of complex equipment—from design and manufacturing to operation and maintenance. The forum is dedicated to exploring how data-driven virtual replicas can transform traditional quality assurance into a predictive, proactive, and pervasive intelligent system, thereby enhancing reliability, safety, and cost-effectiveness.
The session will focus on the following points
• Quality Digital twin Data Governance
• Quality Digital Thread
• Digital twin Design for Quality & Virtual Verification
• Digital twin Manufacturing Process & Metrology Integration
• Digital twin driven Predictive Maintenance & Operational Health Management
• Closed-Loop Quality & Lifecycle Digital twin Data Fusion
• Digital twin-Augmented Quality Intelligence & Decision Support
• Standards, Interoperability & Implementation Challenges
