반도체 수율 향상을 위한 통계적 공정 제어에 전문가 시스템의 적용에 관한 연구

Applying Expert System to Statistical Process Control in Semiconductor Manufacturing

  • 윤건상 (성균관대학교 기계공학부 대학원) ;
  • 최문규 (성균관대학교 기계공학부 대학) ;
  • 김훈모 (성균관대학교 기계공학) ;
  • 조대호 (성균관대학교 전기ㆍ전자ㆍ컴퓨터공학부) ;
  • 이칠기 (성균관대학교 전기ㆍ전자ㆍ컴퓨터공학부)
  • 발행 : 1998.10.01

초록

The evolution of semiconductor manufacturing technology has accelerated the reduction of device dimensions and the increase of integrated circuit density. In order to improve yield within a short turn around time and maintain it at high level, a system that can rapidly determine problematic processing steps is needed. The statistical process control detects abnormal process variation of key parameters. Expert systems in SPC can serve as a valuable tool to automate the analysis and interpretation of control charts. A set of IF-THEN rules was used to formalize knowledge base of special causes. This research proposes a strategy to apply expert system to SPC in semiconductor manufacturing. In analysis, the expert system accomplishes the instability detection of process parameter, In diagnosis, an engineer is supported by process analyzer program. An example has been used to demonstrate the expert system and the process analyzer.

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