Wai Kin Victor Chan
Papers
3
Total Citations
219
H-Index
3
About
Wai Kin Victor Chan is a leading researcher in semiconductor manufacturing automation, with a primary focus on the optimal scheduling of multicluster tools. His work addresses a critical challenge in the industry: maximizing productivity and minimizing costs by efficiently coordinating robot movements across interconnected tool clusters. Chan’s most influential contributions are a landmark two-part study (2010), which together have garnered over 200 citations. Part I establishes foundational scheduling principles for two-cluster tools with constant robot moving times, while Part II extends this analysis to complex, tree-like topology configurations. In this second paper, Chan introduces a recursive minimal cycle time algorithm that reveals multi-unit resource cycles, providing a systematic method for optimizing robot schedules. Earlier foundational work (2007) further explored the optimality of one-unit cycle scheduling for single-blade robots under general configurations. Collectively, Chan’s research provides both theoretical proofs and practical algorithms that directly enhance throughput in semiconductor fabrication, making his work essential reading for researchers and engineers in manufacturing systems and operations research.
Research Focus
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Top Papers
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