Ju-Yong Lee
Papers
2
Total Citations
5
H-Index
1
About
Dr. Ju-Yong Lee is a rising scholar in the field of smart manufacturing and production systems, with a focus on integrating artificial intelligence and human-robot collaboration into industrial operations. His research primarily addresses the optimization of complex manufacturing environments, particularly in semiconductor fabrication and assembly workstations. Dr. Lee’s most-cited work, "Machine learning-based dispatching for a wet clean station in semiconductor manufacturing" (2024, 4 citations), pioneers the application of machine learning to real-time scheduling in high-tech cleanrooms, offering a data-driven approach to improve efficiency and reduce bottlenecks. His subsequent study, "Production scheduling for human–robot collaborative assembly workstations under constraints of ergonomic fatigue and simultaneous cooperation" (2025, 1 citation), explores the delicate balance between productivity and worker well-being, proposing scheduling models that account for both robotic assistance and human physical limits. Though early in his career, Dr. Lee’s contributions are already shaping the future of intelligent manufacturing, demonstrating how advanced algorithms can enhance both operational performance and human-centric design. His work is essential reading for researchers and engineers seeking to bridge the gap between theoretical optimization and practical, real-world factory automation.
Research Focus
Key Achievements
Top Papers
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