Wenhui Fan
Papers
3
Total Citations
133
H-Index
3
About
Wenhui Fan is a leading researcher in intelligent manufacturing and production scheduling, with a focus on semiconductor fabrication and automated production lines. His work bridges reinforcement learning (RL) and operations research to solve complex, real-world industrial challenges. Fan’s most cited paper (106 citations) introduces an RL-based framework for scheduling discrete automated production lines, overcoming traditional limitations by accounting for robot transfer units and variable processing times—a significant leap toward adaptive, flexible manufacturing. He is also a pioneer in noncyclic scheduling for multi-cluster tools, a critical area in semiconductor manufacturing where small lot sizes and diverse wafer types render conventional cyclic strategies inefficient. Through Pareto optimization, Fan has developed methods to coordinate multi-robot systems under residency constraints, addressing the growing demand for diversification and efficiency. His contributions have been published in top IEEE journals, and his work is widely cited by engineers and researchers seeking to integrate AI into production control. Fan’s research not only advances theoretical scheduling models but also provides practical solutions for high-tech industries, making him a key figure in the evolution of smart manufacturing.
Research Focus
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Top Papers
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