Journal of the Korea Society for Simulation (한국시뮬레이션학회논문지)
- Volume 14 Issue 1
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- Pages.1-8
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- 2005
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- 1225-5904(pISSN)
Automatic Classification of Failure Patterns in Semiconductor EDS Test for Yield Improvement
수율향상을 위한 반도체 EDS공정에서의 불량유형 자동분류
- Published : 2005.03.01
Abstract
In the semiconductor manufacturing, yield enhancement is an urgent issue. It is ideal to prevent all the failures. However, when a failure occurs, it is important to quickly specify the cause stage and take countermeasure. Reviewing wafer level and composite lot level yield patterns has always been an effective way of identifying yield inhibitors and driving process improvement. This process is very time consuming and as such generally occurs only when the overall yield of a device has dropped significantly enough to warrant investigation. The automatic method of failure pattern extraction from fail bit map provides reduced time to analysis and facilitates yield enhancement. The automatic method of failure pattern extraction from fail bit map provides reduced time to analysis and facilitates yield enhancement. This paper describes the techniques to automatically classifies a failure pattern using a fail bit map.
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