Exponentially Weighted Moving Average Control Charts for Correlated Quality Characteristics

• 발행기관: 한국자료분석학회
• 저자명: Duk Joon Chang Jae Man Lee
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.2 No.2, 231~238쪽, 전체 8쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2000.06.30

영문 초록

Exponentially weighted moving average(EWMA) control charts for monitoring correlation coefficients of the correlated quality characteristics under multivariate normal process with variable sampling intervals(VSI) are proposed. Performances of the matched fixed sampling interval(FSI) and VSI charts are evaluated in terms of ATS and ANSS. Numerical results show that EWMA chart based on Y t with VSI can significantly improve the ability to detect small shifts for the production process.

목차

1. Introduction

2. Evaluating Multivariate Control Statistics

3. FSI and VSI EWMA Charts

4. Numerical Results and Concluding Remarks

References