Jen‐Hsuan Ho
Papers
1
Total Citations
4
H-Index
1
About
Jen-Hsuan Ho’s research centers on semiconductor manufacturing optimization, with a particular focus on tool performance, robot control logics, and production efficiency. Her most cited work, “Design of standard modeling process for tool sequencing optimization under given robot control logics: A PVD case” (2010), tackles a critical challenge in fab operations: optimizing tool sequencing to enhance throughput while managing rising equipment costs. By developing a standardized modeling process for physical vapor deposition (PVD) systems, Ho provided a systematic framework that bridges robot control logic with operational sequencing, directly impacting fab productivity and competitiveness. Although her citation count is modest, the work’s practical relevance to the semiconductor industry underscores its value in applied manufacturing research. Ho’s contributions are particularly notable for their focus on real-world implementation, offering engineers a replicable methodology to reduce downtime and improve tool utilization. Her research reflects a deep understanding of the intersection between automation, process control, and cost efficiency—a vital area as fabs seek to maximize output from expensive capital equipment. For students and researchers in industrial engineering or semiconductor manufacturing, Ho’s work serves as a concise example of how targeted modeling can yield tangible operational gains.
Research Focus
Key Achievements
Top Papers
- 1