지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제12권 제2호
- 발행연도
- 2013.6
- 수록면
- 112 - 117 (6page)
이용수
초록· 키워드
오류제보하기
The x control chart for the process mean and either the R or s control chart for the process dispersion have been used together to monitor the manufacturing processes. However, it has been pointed out that this procedure is flawed by a fault that makes it difficult to capture the behavior of process condition visually by considering the relationship between the shift in the process mean and the change in the process dispersion because the respective characteristics are monitored by an individual control chart in parallel. Then, the (x, s) control chart has been proposed to enable the process managers to monitor the changes in the process mean, process dispersion, or both. On the one hand, identifying which process parameters are responsible for out-of-control condition of process is one of the important issues in the process management. It is especially important in the (x, s) control chart where some parameters are monitored at a single plane. The previous literature has proposed the multiple decision method based on the statistical hypothesis tests to identify the parameters responsible for out-of-control condition. In this paper, we propose how to identify parameters responsible for out-of-control condition using the information criterion. Then, the effectiveness of proposed method is shown through some numerical experiments.
목차
ABSTRACT
1. INTRODUCTION
2. OUTLINE OF (x , s) CONTROL CHART
3. PROPOSAL OF IDENTIFYING OUT-OFCONTROL CONDITION BY AIC
4. NUMERICAL SIMULATIONS
5. CONCLUSION
REFERENCES
참고문헌 (13)
참고문헌 신청
1. [기타자료] - Abramowitz, M. / 1964 / Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables / US Government Printing Office
2. [학술지(정기간행물)] - Akaike, H. / 1974 / A new look at the statistical model identification / IEEE Transaction on Automatic Control 19 (6) : 716 ~ 723
3. [학술지(정기간행물)] - Arizono, I. / 1987 / An improvement of variables sampling plans based on Kullback-Leibler information / International Journal of Production Research 25 (9) : 1393 ~ 1400
4. [단행본] - Kanagawa, A. / 1997 / Design of the control chart based on Kullback-Leibler information, In Frontiers in Statistical Quality Control 5, Physica-Verlag / Germany : 183 ~ 192
5. [학술지(정기간행물)] - Kobayashi, L. / 2003 / Economical operation of(x, s)control chart indexed by Taguchi's loss function / International Journal of Production Research 41 (6) : 1115 ~ 1132
2. [학술지(정기간행물)] - Akaike, H. / 1974 / A new look at the statistical model identification / IEEE Transaction on Automatic Control 19 (6) : 716 ~ 723
3. [학술지(정기간행물)] - Arizono, I. / 1987 / An improvement of variables sampling plans based on Kullback-Leibler information / International Journal of Production Research 25 (9) : 1393 ~ 1400
4. [단행본] - Kanagawa, A. / 1997 / Design of the control chart based on Kullback-Leibler information, In Frontiers in Statistical Quality Control 5, Physica-Verlag / Germany : 183 ~ 192
5. [학술지(정기간행물)] - Kobayashi, L. / 2003 / Economical operation of(x, s)control chart indexed by Taguchi's loss function / International Journal of Production Research 41 (6) : 1115 ~ 1132
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UCI(KEPA) : I410-ECN-0101-2014-500-003300930