Title :
Automated systematic discovery for development and production
Author :
Austin, Brad ; Cross, Andrew ; Liesching, Marcus
Author_Institution :
IBM Corp., East Fishkill, NY, USA
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;
Conference_Titel :
Advanced Semiconductor Manufacturing Conference (ASMC), 2011 22nd Annual IEEE/SEMI
Conference_Location :
Saratoga Springs, NY
Print_ISBN :
978-1-61284-408-4
Electronic_ISBN :
1078-8743
DOI :
10.1109/ASMC.2011.5898192