Joey Chang
Papers
1
Total Citations
4
H-Index
1
About
Joey Chang is a researcher focused on semiconductor manufacturing optimization, particularly in the areas of tool performance enhancement and robotic control logic integration. His major contribution lies in developing a standard modeling process for tool sequencing optimization, as demonstrated in his most-cited work, "Design of standard modeling process for tool sequencing optimization under given robot control logics: A PVD case" (2010, 4 citations). This paper addresses the critical challenge of rising equipment costs in fabrication facilities by proposing a systematic approach to optimize tool operation sequences, thereby improving fab productivity and competitiveness. Chang’s work provides a foundational framework for integrating robot control logics with tool sequencing, offering practical solutions for physical vapor deposition (PVD) processes. While his citation count is modest, his research holds significance for engineers and researchers seeking to enhance semiconductor manufacturing efficiency through process standardization. By bridging the gap between automation and operational optimization, Chang contributes to the broader goal of reducing capital expenditure while maintaining high throughput in advanced manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1