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Estimation of Change Point in Process State on CUSUM ($\bar{x}$, s) Control Chart

Takemoto, Yasuhiko    (Faculty of Management and Information Systems Prefectural University of Hiroshima   ); Arizono, Ikuo    (Graduate School of Engineering Osaka Prefecture University  );
  • 초록

    Control charts are used to distinguish between chance and assignable causes in the variability of quality characteristics. When a control chart signals that an assignable cause is present, process engineers must initiate a search for the assignable cause of the process disturbance. Identifying the time of a process change could lead to simplifying the search for the assignable cause and less process down time, as well as help to reduce the probability of incorrectly identifying the assignable cause. The change point estimation by likelihood theory and the built-in change point estimation in a control chart have been discussed until now. In this article, we discuss two kinds of process change point estimation when the CUSUM ( $\bar{x}$ , s) control chart for monitoring process mean and variance simultaneously is operated. Throughout some numerical experiments about the performance of the change point estimation, the change point estimation techniques in the CUSUM ( $\bar{x}$ , s) control chart are considered.


  • 주제어

    Statistical Process Control .   ( $\bar{x}$, s) Control Chart .   CUSUM Charting Technique .   Maximum Likelihood Estimator .   Change Point Estimation.  

  • 참고문헌 (16)

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  • 이 논문을 인용한 문헌 (1)

    1. 2013. "" Industrial engineering & management systems : an international journal, 12(2): 112~117     

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