Whan Lee
Papers
2
Total Citations
3
H-Index
1
About
Whan Lee is a leading researcher in advanced manufacturing systems, specializing in the optimization of flexible and reconfigurable assembly processes for the automotive industry. His work addresses the critical challenge of adapting production lines to rapidly shifting consumer demands through intelligent automation. Lee’s major contributions include pioneering the use of Deep Q-Networks for dynamic scheduling in Matrix Assembly Systems, enabling real-time coordination of Autonomous Mobile Robots (AMRs) to enhance efficiency and adaptability. He has also developed a Genetic Algorithm approach for intelligent layout reconfiguration in Reconfigurable Manufacturing Systems (RMS), demonstrating how modular facilities and AMRs can replace rigid, dedicated production lines. These innovations, detailed in his most-cited papers from 2024, have already garnered early citations, signaling their growing influence on both academia and industry. Lee’s research bridges the gap between artificial intelligence and manufacturing engineering, offering practical solutions for the next generation of smart factories. His work is essential reading for students and researchers interested in Industry 4.0, production optimization, and the future of automotive assembly.
Research Focus
Key Achievements
Top Papers
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- 2