메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국산업경영시스템학회 산업경영시스템학회지 산업경영시스템학회지 제42권 제1호
발행연도
2019.1
수록면
151 - 157 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This study is about the process capability index (PCI). In this study, we introduce several indices including the index and present the characteristics of the as well as its validity. The difference between the other indices and the is the way we use to estimate the standard deviation. Calculating the index, most indices use sample standard deviation while the index uses range . The sample standard deviation is generally a better estimator than the range . But in the case of the panel process, the has more consistency than the other indices at the point of non-conforming ratio which is an important term in quality control. The reason why the using the range has better consistency is explained by introducing the concept of ‘flatness ratio’. At least one million cells are present in one panel, so we can’t inspect all of them. In estimating the PCI, it is necessary to consider the inspection cost together with the consistency. Even though we want smaller sample size at the point of inspection cost, the small sample size makes the PCI unreliable. There is ‘trade off’ between the inspection cost and the accuracy of the PCI. Therefore, we should obtain as large a sample size as possible under the allowed inspection cost. In order for to be used throughout the industry, it is necessary to analyze the characteristics of the . Because the is a kind of index including subgroup concept, the analysis should be done at the point of sample size of the subgroup. We present numerical analysis results of by the data from the random number generating method. In this study, we also show the difference between the using the range and the which is a representative index using the sample standard deviation. Regression analysis was used for the numerical analysis of the sample data. In addition, residual analysis and equal variance analysis was also conducted.

목차

등록된 정보가 없습니다.

참고문헌 (13)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0