About

Tae‐Eog Lee is a distinguished researcher whose work has fundamentally shaped the field of semiconductor manufacturing automation, with a particular focus on cluster tool scheduling and Petri net-based modeling. His research addresses the complex operational challenges of cluster tools — automated production systems combining multiple single-wafer processing chambers with robotic wafer handlers — which are critical to modern wafer fabrication processes including chemical vapor deposition, etching, and atomic layer deposition. Lee's most influential contributions include pioneering scheduling analyses for both single- and dual-armed cluster tools, developing rigorous methods to handle strict timing constraints that, if violated, can compromise wafer quality. His 2003 paper on time-constrained dual-armed cluster tools alone has garnered 275 citations, reflecting its foundational importance. He further advanced the field by introducing negative event graphs to model time window constraints and developing efficient mixed-integer programming models grounded in timed Petri net theory. Beyond cyclic scheduling, Lee tackled emerging industrial challenges such as reentrant wafer flows, small-lot processing, and concurrent multi-wafer-type scheduling. His comprehensive 2008 review of cluster tool scheduling theory has become an essential reference for researchers entering the field. Collectively, his body of work demonstrates sustained, high-impact contributions spanning over a decade of semiconductor manufacturing research.

Research Focus

Key Achievements

27
H-Index
53
Papers
2,406
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Scheduling analysis of time-constrained dual-armed cluster tools
275 citations · 2003
📈 Most Prolific Year: 2012 (7 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Korea Advanced Institute of Science and Technology, University of Illinois Urbana-Champaign, Kootenay Association for Science & Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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