칼만 게인 궤환 평균을 이용한 적응 EWMA 관리도 설계

A Study on the Design of Adaptive EWMA Control Chart using Kalman Gain Recursive Average

  • 윤상원 (영동공과대학 산업공학과) ;
  • 윤석환 (한국전자통신연구소) ;
  • 신용백 (아주대학교 산업공학과)
  • Yoon, Sangwon (Dept. of Industrial Engineering, Youngdong University) ;
  • Yoon, Seokhwan (Electronics and Telecommunications Research Institute) ;
  • Shin, Yongback (Dept. of Industrial Engineering, Ajou University)
  • 발행 : 1996.03.31

초록

Adaptive EWMA(Exponentially Weighted Moving Average)-x control chart using the Kalman gain recursive average is designed. The designed control chart is effective to on-line process monitoring as continuous flow processes. Performance evaluation between the designed control chart and traditional one is implemented. For this, ARL(Average Run Length) is adopted as a criterion. Results show that the designed adaptive EWMA-x control chart has shorter ARL than EWMA-x control chart when process mean is shifted. This model can be extended to process prevention control. The methodology proposed in this research is turned out to show the high performance than that of the given methodologies.

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