DocumentCode
73093
Title
Run-to-Run Control Utilizing Virtual Metrology With Reliance Index
Author
Chi-An Kao ; Fan-Tien Cheng ; Wei-Ming Wu ; Fan-Wei Kong ; Hsuan-Heng Huang
Author_Institution
Inst. of Manuf. Inf. & Syst., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
26
Issue
1
fYear
2013
fDate
Feb. 2013
Firstpage
69
Lastpage
81
Abstract
The incorporation of virtual metrology (VM) into run-to-run (R2R) control was one of the key advanced process control focus areas of the International Technology Roadmap for Semiconductors in 2009. However, a key problem preventing effective utilization of VM in R2R control is the inability to take the reliance level in the VM feedback loop of R2R control into consideration. The reason is that the result of adopting an unreliable VM value may be worse than if no VM is utilized at all. The authors have proposed the so-called reliance index (RI) and global similarity index (GSI) of VM to gauge the reliability of the VM results. This paper proposes a novel scheme of R2R control that utilizes VM with RI and GSI in the feedback loop. Simulation results of five random-generated rounds are performed. These random-generated rounds simulate the situation as if five modifications are performed on the process or the equipment due to predictive maintenances. As such, the issue of the R2R controller-gain management in real-production environment may be addressed whenever a modification is performed on the process or the equipment.
Keywords
feedback; measurement; preventive maintenance; R2R controller gain management; feedback loop; global similarity index; international technology roadmap; key advanced process control; predictive maintenance; random generated rounds; reliance index; run to run control; semiconductors; virtual metrology; Data models; Indexes; Metrology; Predictive models; Process control; Reliability; Servers; Global similarity index (GSI); reliance index (RI); run-to-run (R2R) control; virtual metrology (VM);
fLanguage
English
Journal_Title
Semiconductor Manufacturing, IEEE Transactions on
Publisher
ieee
ISSN
0894-6507
Type
jour
DOI
10.1109/TSM.2012.2228243
Filename
6357325
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