FIR CV-EWMA Control Chart

FIR CV-EWMA 관리도

  • Hong, Eui-Pyo (Dept. of Information and Industrial Engineering, Hanyang University) ;
  • Kang, Hae-Woon (Dept. of Information Engineering, Hanyang University) ;
  • Kang, Chang-Wook (Dept. of Information and Industrial Engineering, Hanyang University) ;
  • Baek, Jae-Won (Dept. of Information Engineering, Hanyang University)
  • 홍의표 (한양대학교 산업경영공학과) ;
  • 강해운 (한양대학교 산업공학과) ;
  • 강창욱 (한양대학교 산업경영공학과) ;
  • 백재원 (한양대학교 산업공학과)
  • Received : 2010.07.19
  • Accepted : 2010.09.13
  • Published : 2010.09.30

Abstract

When the production run is short and process parameters change frequently, it is difficult to monitor the process using traditional control charts. In such a case, the coefficient of variation (CV) is very useful for monitoring the process variability. The CV control chart is an effective tool to control the mean and variability of process simultaneously. The CV control chart, however, is not sensitive at small shifts in the magnitude of CV. The CV-EWMA(exponentially weighted moving average) control chart which was developed recently is effective in detecting a small shifts of CV. Since the CV-EWMA control chart scheme can be viewed as a weighted average of all past and current CV values, it is very sensitive to small change of mean and variability of the process. In this paper, we propose an FIR(Fast initial response) CV-EWMA control chart to improve the sensitivity of a CV-EWMA scheme at process start-up or out-of-control process. Moreover, we suggest the values of design parameters and show the results of the performance study of FIR CV-EWMA control chart by the use of average run length(ARL). Also, we compared the performance of FIR CV-EWMA control chart with that of the CV-EWMA control chart and we found that the CV-EWMA control chart gives longer in-control ARL and much shorter out-of-control ARL.

Keywords

References

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