Monitoring process variability using exponentially weighted moving sample variance control charts

被引：49

作者：

Eyvazian, Majid ^{[1
]}

Naini, S. G. Jalali ^{[1
]}

Vaghefi, A. ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Dept Ind Engn, Tehran 16844, Iran

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2008年 / 39卷 / 3-4期

关键词：

average run length (ARL); exponentially weighted moving sample variance (EWMSV) control charts; smoothing parameter; statistical process control (SPC);

D O I：

10.1007/s00170-007-1213-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Exponentially weighted moving average (EWMA) control charts are regarded as one of the most convenient tools in detecting small process shifts. Although EWMA control charts have been extensively used to monitor the mean of quality characteristics, there are few studies concentrating on the monitoring of process variability by using weighted moving control charts. In this paper, we propose an exponentially weighted moving sample variance (EWMSV) control chart for monitoring process variability when the sample size is equal to 1. The results are compared numerically with other similar methods using the average run length (ARL). Through an example, the practical considerations are presented to implement EWMSV control charts.

引用

页码：261 / 270

页数：10

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