Combined control charts for forecast-based monitoring schemes

被引：40

作者：

Lin, WSW

Adams, BM

机构：

[1] UNIV ALABAMA,APPL STAT PROGRAM,TUSCALOOSA,AL 35487

[2] UNIV ALABAMA,DEPT MANAGEMENT SCI & STAT,TUSCALOOSA,AL 35487

来源：

JOURNAL OF QUALITY TECHNOLOGY | 1996年 / 28卷 / 03期

关键词：

autocorrelated process; statistical process control; time series analysis;

D O I：

10.1080/00224065.1996.11979679

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The problem of monitoring autocorrelated process data is considered. A Markov chain approach is used to determine the performance of several forecast-based monitoring schemes for various types of process shifts and evaluation criteria. The performance of the monitoring schemes is shown to depend on the process model, type of shift, and evaluation criteria. The combined exponentially weighted moving average-Shewhart (CES) control chart applied to appropriate one-step-ahead forecast errors is recommended for general use, and a design procedure is provided.

引用

页码：289 / 301

页数：13

共 16 条

[1]

ADAMS BM, 1994, TECHNOMETRICS, V36, P19

[2] TIME-SERIES MODELING FOR STATISTICAL PROCESS-CONTROL [J].