DocumentCode :
3120871
Title :
Overlay metrology sampling capability analysis and implementation in manufacturing
Author :
Sullivan, Daniel B. ; Conrad, Edward W. ; Smyth, John S.
Author_Institution :
Mask Lithogr., IBM Microelectron., Essex Junction, VT, USA
fYear :
2004
fDate :
4-6 May 2004
Firstpage :
208
Lastpage :
212
Abstract :
This paper outlines a technique for determining the sampling capability ratio (Csk)for overlay metrology and the implementation into the manufacturing line. This technique is analogous to the traditionally used process capability ratio (Cpk) with modifications to account for the systematic nature of misalignment. Specifically, the Csk analysis is based only on historical data which was available for metrology skips, uses modeled systematic data, and uses a statistical analysis based on the lognormal distribution including confidence intervals, and normality checking. In addition, upgrades to the statistical process control (SPC) strategy in photolithography are outlined as well as a future upgrade to the current system known as adaptive sampling.
Keywords :
integrated circuit manufacture; log normal distribution; photolithography; sampling methods; statistical process control; SPC; adaptive sampling; lognormal distribution; metrology skips; photolithography; sampling capability analysis; statistical analysis; statistical process control; Costs; Lithography; Logic devices; Metrology; Microelectronics; Process control; Programmable control; Pulp manufacturing; Sampling methods; Semiconductor device manufacture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing, 2004. ASMC '04. IEEE Conference and Workshop
Print_ISBN :
0-7803-8312-5
Type :
conf
DOI :
10.1109/ASMC.2004.1309567
Filename :
1309567
Link To Document :
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