An Enhancement for the Multivariate EWMA Chart

被引：0
|
作者：
Khoo, Michael B. C. [1 ]
Gun, S. J. [1 ]
机构：
[1] Univ Sains Malaysia, Pusat Pengajian Sains Matematik, George Town 11800, Penang, Malaysia
来源：
MATEMATIKA | 2006年 / 22卷 / 02期
关键词：
Multivariate EWMA (MEWMA) chart; maximum likelihood estimator; time step change estimator; out-of-control signal; Type-I error;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A quality control chart is one of the tools that is used to solve quality control problems. A control chart is used to identify the causes of a problem. Quality control for most processes involves more than one correlated variable. This is known as multivariate quality control. A multivariate EWMA (MEWMA) control chart is a good chart to detect a small shift in the mean vector of a multivariate process. This paper suggests the use of the maximum likelihood method on the MEWMA chart for the detection of the actual time of the occurrence of a permanent shift in the mean vector. The use of a time step change estimator on a MEWMA chart will benefit quality control engineers in process monitoring in industries.
引用
收藏
页码：171 / 176
页数：6
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