Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지

Robust Control Chart using Bootstrap Method

붓스트랩 방법을 이용한 로버스트 관리도

  • 송서일 (동아대학교 산업시스템공학과) ;
  • 조영찬 (동아대학교 산업시스템공학과) ;
  • 박현규 (동아대학교 산업시스템공학과)
  • Published : 2003.09.01
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Abstract

Statistical process cintrol is intended to assist operators of a stable system in monitoring whether a change has occurred in the process, and it uses several control charts as main tools. In design and use of control chart, it is rational that probability of false alarm is minimized in stable process and probability of detecting shifts is maximized in out-of-control. In this study, we establish bootstrap control limits for robust M-estimator chart by applying the bootstrap method, called resampling, which could not demand assumptions about pre-distribution when the process is skewed and/or the normality assumption is doubt. The results obtained in this study are summarized as follows : bootstrap M-estimator control chart is developed for applying bootstrap method to M-estimator chart, which is more robust to keep ARL when process contain contaminate quality characteristic.

Keywords

References

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