로버스트 기대손실 관리도의 설계

• 영문명: Design of Robust Expected Loss Control Chart
• 발행기관: 한국산업경영시스템학회
• 저자명: 이형준(Hyeung-Jun Lee) 정영배(Young-Bae Chung)
• 간행물 정보: 『산업경영시스템학회지』제39권 제3호, 10~17쪽, 전체 8쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2016.09.30

영문 초록

Control Chart is a graph which dots the characteristic values of a process. It is the tool of statistical technique to keep a process in controlled condition. It is also used for investigating the state of a process. Therefore many companies have used Control Chart as the tool of statistical process control (SPC). Products from a production process represent accidental dispersion values around a certain reference value. Fluctuations cause of quality dispersion is classified as a chance cause and a assignable cause. Chance cause refers unmanageable practical cause such as operator proficiency differences, differences in work environment, etc. Assignable cause refers manageable cause which is possible to take actions to remove such as operator inattention, error of production equipment, etc. Traditionally ？？ ？？ ？？ control chart or ？？ ？？ control chart is used to find and remove the error cause. Traditional control chart is to determine whether the measured data are in control or not, and lets us to take action. On the other hand, RNELCC (Reflected Normal Expected Loss Control Chart) is a control chart which, even in controlled state, indicates the information of economic loss if a product is in inconsistent state with process target value. However, contaminated process can cause control line sensitive and cause problems with the detection capabilities of chart. Many studies on robust estimation using trimmed parameters have been conducted. We suggest robust RNELCC which used the idea of trimmed parameters with RNEL control chart. And we demonstrate effectiveness of new control chart by comparing with ARL value among traditional control chart, RNELCC and robust RNELCC.

목차

1. 서 론

2. 이론적 배경

3. 로버스트 기대손실 관리도의 설계

4. 실험 및 분석

5. 결 론

키워드

Inverted Normal Loss Function Robust Control Chart Average Run Length Expected Loss