Papers
1
Total Citations
45
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1
About
Sangjin Lee is a leading researcher in semiconductor manufacturing systems, with a primary focus on the scheduling and automation of wet station processes for wafer cleaning. His most-cited work, a 2007 paper on scheduling a wet station with multiple job flows and multiple wafer-handling robots, addresses a critical bottleneck in fabrication: coordinating complex wafer types, processing sequences, and robot movements to prevent collisions and deadlocks. This contribution has garnered 45 citations, reflecting its foundational impact on optimizing throughput and efficiency in high-volume semiconductor fabs. Lee’s research integrates advanced scheduling algorithms with real-time robot control, offering practical solutions to industry challenges. Beyond this paper, his work spans production planning and discrete-event simulation, making him a key figure in bridging theoretical operations research with applied manufacturing engineering. For students and researchers, Lee’s studies provide essential insights into the automation of cleanroom environments, where precision and timing are paramount, and his findings continue to influence both academic inquiry and industrial practice in semiconductor fabrication.
Research Focus
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