1. Smart Review Sampling Methodology in Huge Inspection Results
- Author
-
Ling Wu Yang, Chi-Min Chen, Tahone Yang, Rong Lv, Chih-Yuan Lu, Hsiang-Chou Liao, Tuung Luoh, and Kuang Chao Chen
- Subjects
Engineering ,business.industry ,Data mining ,business ,computer.software_genre ,Sampling methodology ,computer ,humanities - Abstract
The defect inspection results for advanced technology nodes have extremely high defect counts frequently. Therefore, the defect review Pareto get high false rate due to the SEM non-visual defects, nuisance defects, or dummy fill patterns by traditional review sampling methodology. An integrated smart review sampling methodology is proposed to resolve the high false rate issue and dig out the DOIs and POIs effectively in huge big inspection results with aid of design data base.
- Published
- 2014