SPC WITH CORRELATED OBSERVATIONS FOR THE CHEMICAL AND PROCESS INDUSTRIES

被引：50

作者：

MASTRANGELO, CM ^{[1
]}

MONTGOMERY, DC ^{[1
]}

机构：

[1] ARIZONA STATE UNIV,TEMPE,AZ 85287

来源：

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 1995年 / 11卷 / 02期

关键词：

AUTOCORRELATION; STATISTICAL PROCESS CONTROL; TIME SERIES MODELS; EWMA;

D O I：

10.1002/qre.4680110203

中图分类号：

T [工业技术];

学科分类号：

08 [工学];

摘要：

In the use of statistical control charts, violating the basic assumption of independent or uncorrelated data results in a chart that exhibits poor statistical performance, resulting in an increased number of false alarms. Autocorrelated data requires modifications to traditional control chart techniques. A method based on the exponentially weighted moving average that uses variable control limits is presented. Using simulation, we explore the shift detection properties of this moving centre-line technique and will show how the detection capability of the procedure can be enhanced using supplemental tracking signal tests. Guidelines and conditions for use are also presented.

引用

页码：79 / 89

页数：11

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