Automatic Classification of Failure Patterns in Semiconductor EDS Test for Yield Improvement

수율향상을 위한 반도체 EDS공정에서의 불량유형 자동분류

  • 한영신 (성결대학교 공과대학 멀티미디어학과) ;
  • 이칠기 (성균관대학교 정보통신공학부 컴퓨터공학과)
  • 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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