ChengYu Zou
Papers
1
Total Citations
4
H-Index
1
About
ChengYu Zou is a rising scholar in semiconductor manufacturing systems, with a focused expertise in the scheduling and optimization of cluster tools—the automated equipment central to wafer fabrication. His key research areas include real-time scheduling under time constraints, resource allocation in multi-space process modules, and the modeling of concurrent wafer processing to boost throughput. Zou’s most-cited work, “Scheduling of Time-Constrained Single-Arm Cluster Tools with Two-Space Process Modules in Semiconductor Manufacturing” (2024), addresses a critical bottleneck in advanced fabs: how to efficiently manage tools where process modules can handle multiple wafers simultaneously. By developing novel scheduling algorithms that respect strict wafer residency constraints, he demonstrates how to maximize tool utilization without violating process deadlines. Though early in his career—with his top paper garnering 4 citations—his contributions are already recognized for tackling a practical, industry-driven problem that bridges operations research and semiconductor engineering. His work offers actionable insights for both researchers modeling complex manufacturing systems and engineers seeking to improve fab productivity.
Research Focus
Key Achievements
Top Papers
- 1