Xun Ye

Hanyang University, Wuhan University of Technology

Papers

Total Citations

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About

Dr. Xun Ye is a leading researcher in advanced manufacturing, with a focus on Industry 4.0, cyber-physical systems (CPS), and digital twin technologies. Their work centers on integrating digital solutions into robotic manufacturing environments to enhance efficiency and adaptability. A major contribution is their pioneering research on Asset Administration Shell (AAS)-enabled digital solutions, which provide a standardized framework for connecting physical and computational elements in manufacturing systems—a concept detailed in their highly cited 2021 paper (67 citations). Dr. Ye has also advanced the field of robotic assembly by developing digital twin-based multi-level task rescheduling methods, addressing dynamic disturbances like processing time changes and advance deliveries (2023, 28 citations). This work demonstrates practical solutions for improving production line resilience. With a growing citation record, Dr. Ye’s research is shaping the future of smart factories, offering actionable frameworks for real-time decision-making. Their contributions are essential reading for engineers and researchers exploring the intersection of digital twins, robotics, and Industry 4.0.