HongPeng Li
Papers
1
Total Citations
2
H-Index
1
About
HongPeng Li is a leading researcher in the modeling, scheduling, and control of automated manufacturing systems, with a particular focus on semiconductor wafer fabrication. His work addresses the critical challenge of balancing productivity with stringent quality control in advanced cluster tools. Li’s major contribution lies in developing novel scheduling algorithms for single-arm robotic cluster tools that integrate condition-based cleaning operations—a vital requirement as shrinking circuit widths demand the removal of chemical residuals to ensure wafer integrity. By making a strategic trade-off between chamber cleaning frequency and throughput, his research provides practical solutions for real-world wafer fabs. His most-cited paper, "Scheduling a Single-arm Robotic Cluster Tool with a Condition-based Cleaning Operation" (2022), has garnered 2 citations and lays the groundwork for optimizing both yield and equipment efficiency. Li’s work is notable for bridging the gap between theoretical scheduling models and the evolving needs of semiconductor manufacturing, offering engineers a framework to enhance reliability without sacrificing productivity. His contributions are essential reading for researchers and students in industrial engineering, operations research, and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
- 1