EWMA 기법을 적용한 CV 관리도의 개발

• 영문명: Development of CV Control Chart Using EWMA Technique
• 발행기관: 한국산업경영시스템학회
• 저자명: 홍의표(Eui-Pyo Hong) 강창욱(Chang-Wook Kang) 백재원(Jae-Won Baek) 강해운(Hae-Woon Kang)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2008년 하계학술대회 논문집, 1~8쪽, 전체 8쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2008.07.30

영문 초록

The control chart is widely used statistical process control(SPC) tool that searches for assignable cause of variation and detects any change of process. Generally, R control chart and X-S are most frequently used. When the production run is short and process parameter changes 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 shift in the magnitude of CV. In this paper, we propose an CV-EWMA (exponentially weighted moving average) control chart which is effective in detecting a small shift 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. We suggest the values of design parameters and show the results of the performance study of CV-EWMA control chart by the use of average run length(ARL). When we compared the performance of CV-EWMA control chart with that of the CV control chart, we found that the CV-EWMA control chart gives longer in-control ARL and much shorter out-of-control ARL.

목차

1. 서 론

2. 변동계수의 통계적 특성과 확률분포

3. 변동계수의 작은 변화에 민감한 공정과 CV관리도

4. CV-EWMA 관리도의 통계적 설계

5. 수행도 비교와 분석

6. 결론

키워드

Control chart Coefficient of variation EWMA