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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.3
- 수록면
- 311 - 323 (13page)
- DOI
- 10.7465/jkdi.2022.33.2.311
이용수
초록· 키워드
오류제보하기
The Shewhart control chart developed to statistically control the production process is not implemented in the actual process. It is simple and has the advantage of effectively detecting large shifts. But it is not effective in small shifts. To compensate for this, there are many several methods. In 1956, Western Electric Company presented a control chart with runs-rules added. In this paper, to compensate for the shortcomings of traditional Shewhart charts, we propose a chart for monitoring the mean vector and covariance matrix using runs rules proposed by Western Electric Company. In the run length distribution of the control chart to which the finite Markov chain embedding method and run rule were applied, it was confirmed that the mean of the run length rapidly decreased even with a small shift of the mean vector and covariance matrix. It is sensitive to small shifts. Therefore, it can be seen that the Shewhart control chart using runs rules in the production process is effective in detecting small fluctuations.
목차
Abstract
1. Introduction
2. Finite Markov chain imbedding
3. Distribution of run-length
4. Conclusions
References
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