Jufeng Wang
Papers
2
Total Citations
49
H-Index
2
About
Jufeng Wang is a leading researcher in semiconductor manufacturing automation, with a primary focus on the scheduling and control of cluster tools—the core equipment in wafer fabrication. His work addresses the critical challenge of wafer residency time constraints, where wafers must be processed within strict time windows to avoid defects. Wang’s major contributions include developing optimal cyclic scheduling strategies for dual-arm cluster tools, where he innovatively configures processing modules and robot waiting times to achieve efficiency while respecting time limits. His 2023 paper on this topic has garnered 32 citations, reflecting its impact on both theory and practice. More recently, Wang has advanced the field by tackling the more complex problem of scheduling single-robotic-arm cluster tools, proposing a virtual cell-based approach that generalizes beyond traditional strategies using all processing modules. This 2024 work, with 17 citations, demonstrates his ability to solve increasingly realistic and challenging scheduling problems. Wang’s research is instrumental in improving throughput and reliability in semiconductor fabs, making him a key figure in the intersection of operations research and manufacturing engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2