半导体器件制造
过程控制
过程(计算)
薄脆饼
先进过程控制
灵活性(工程)
计算机科学
吞吐量
可扩展性
统计过程控制
半导体器件建模
晶圆制造
过程变量
过程能力
在制品
工程类
电子工程
数据库
统计
操作系统
CMOS芯片
电气工程
数学
电信
运营管理
无线
作者
M. Sarfaty,A. Shanmugasundram,Alexander T. Schwarm,Joonki Paik,Jingchao Zhang,Rong Pan,Martin Seamons,H. Li,R. Hung,Samit Parikh
标识
DOI:10.1109/asmc.2002.1001583
摘要
Traditional semiconductor manufacturing relies on a fixed process-recipe combined with a classical statistical process control that is used to monitor the production process. Leading-edge manufacturing processes require higher levels of precision and accuracy, which necessitate the use of tighter process control. Advanced Process Control (APC) is becoming a critical component to improve performance, yield, throughput, and flexibility of the manufacturing process using run-to-run, wafer-to-wafer, within wafer and real-time process control. The complexity of device manufacturing process as well as the strong coupling effect of several input parameters on the final process outputs prohibit the use of a classical single variable feedback control method. Therefore, multivariate, model-based APC system is developed in conjunction with feed-forward and feedback mechanisms to automatically determine the optimal recipe for each wafer based on both incoming wafer and tool state properties. The APC system uses wafer metrology, process models and sophisticated control algorithms to provide dynamic fine-tuning of intermediate process targets that enhance final device targets. The design of the APC system enables scalable control solutions across a single chamber, a process tool, multi-tools, a process module and multi-process modules using similar building blocks, concepts and algorithms.
科研通智能强力驱动
Strongly Powered by AbleSci AI