DocumentCode
1725318
Title
Automated systematic discovery for development and production
Author
Austin, Brad ; Cross, Andrew ; Liesching, Marcus
Author_Institution
IBM Corp., East Fishkill, NY, USA
fYear
2011
Firstpage
1
Lastpage
5
Abstract
In many semiconductor Fabs a combination of in-line photo inspection (PLY) and targeted physical failure analysis (PFA) is used to identify and monitor random defectivity, process excursions, and systematic defects. This analysis is fed back to process and design teams to create actions and fixes which drive yield ramps for integration and development. At the 45nm design node and below the number of process steps involved has greatly increased the time and cost from wafer start to testable product. To meet compressed time to market schedules, semiconductor companies must be more reliant on in-line wafer inspection and defect classification for yield learning, excursion flagging, and process split analysis.
Keywords
automatic optical inspection; condition monitoring; failure analysis; fault location; integrated circuit design; integrated circuit yield; process monitoring; scheduling; semiconductor industry; automated systematic discovery; defect classification; excursion flagging; in-line photo inspection; in-line wafer inspection; market schedules; physical failure analysis; process excursions; process monitoring; process split analysis; process steps; random defectivity; semiconductor companies; semiconductor fabs; systematic defects; yield learning; yield ramps; Filtering; Inspection; Libraries; Monitoring; Object recognition; Process control; Systematics; Design; Design based binning; Inspection; systematic defectivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Semiconductor Manufacturing Conference (ASMC), 2011 22nd Annual IEEE/SEMI
Conference_Location
Saratoga Springs, NY
ISSN
1078-8743
Print_ISBN
978-1-61284-408-4
Electronic_ISBN
1078-8743
Type
conf
DOI
10.1109/ASMC.2011.5898192
Filename
5898192
Link To Document