Proceedings of the Korean Society for Quality Management Conference (한국품질경영학회:학술대회논문집)

Korean Society for Quality Management (한국품질경영학회)
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Estimations of Measurement System Variability and PTR under Non-normal Measurement Error

비정규 측정오차의 경우 측정시스템 변동과 PTR 추정

  • Chang, Mu-Seong (Department of Industrial and Systems Engineering, Changwon National University) ;
  • Kim, Sang-Boo (Department of Industrial and Systems Engineering, Changwon National University)
  • 장무성 (창원대학교 산업시스템공학과) ;
  • 김상부 (창원대학교 산업시스템공학과)
  • Published : 2006.11.17
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Abstract

ANOVA is widely used for measurement system analysis. It assumes that the measurement error is normally distributed, which may not be seen in some industrial cases. In this study, the estimates of the measurement system variability and PTR (precision-to-tolerance ratio) are obtained by using weighted standard deviation for the case where the measurement error is non-normally distributed. The Standard Bootstrap method is used for estimating confidence intervals of measurement system variability and PTR. The point and confidence interval estimates for the cases with normally distributed measurement error are compared to those with non-normally distributed measurement errors through computer simulation.

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