DocumentCode :
1742121
Title :
A novel method for statistical process control of gate oxide and front-end cleans monitoring in a manufacturing environment
Author :
Cosway, Richard G. ; Pirastehfar, Lisa S. ; Root, R. Paul ; Roche, Thomas S. ; Naujokaitis, Janie R.
Author_Institution :
Motorola Inc., Chandler, AZ, USA
fYear :
2000
fDate :
2000
Firstpage :
392
Lastpage :
396
Abstract :
A novel approach to monitoring the integrity of front-end cleans and gate oxidation is presented. This approach utilizes difference statistics of the 10-, 50-, and 90-percentile values in the charge-to-breakdown (QBD) distributions. Difference statistics are utilized to achieve improvements in the signal-to-noise ratio of potential issues and to minimize the number of wafers used in the monitoring matrix. Implementation of the analyses in this statistical process control (SPC) methodology enables the origin of issues to be brought to the attention of sustaining personnel without the need for in-depth understanding of gate oxide integrity (GOI) testing, thus making it 100% applicable to a manufacturing environment
Keywords :
oxidation; process monitoring; statistical process control; surface cleaning; charge-to-breakdown distribution; front-end cleaning; gate oxidation; gate oxide integrity; process monitoring; semiconductor manufacturing; signal-to-noise ratio; statistical process control; Condition monitoring; Design for quality; Frequency; Manufacturing processes; Modems; Oxidation; Process control; Semiconductor device manufacture; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference and Workshop, 2000 IEEE/SEMI
Conference_Location :
Boston, MA
ISSN :
1078-8743
Print_ISBN :
0-7803-5921-6
Type :
conf
DOI :
10.1109/ASMC.2000.902617
Filename :
902617
Link To Document :
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