Monitoring the coefficient of variation: A literature review

被引：118

作者：

Jalilibal, Zahra ^{[1
]}

Amiri, Amirhossein ^{[1
]}

Castagliola, Philippe ^{[2
,3
]}

Khoo, Michael B. C. ^{[4
]}

机构：

[1] Shahed Univ, Dept Ind Engn, Tehran, Iran

[2] Univ Nantes, Nantes, France

[3] LS2N UMR CNRS 6004, Nantes, France

[4] Univ Sains Malaysia, Sch Math Sci, Gelugor, Penang, Malaysia

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2021年 / 161卷

关键词：

Control chart; Coefficient of variation (CV); Phase I; Phase II; Statistical process monitoring (SPM); VARIATION CONTROL CHARTS; SYNTHETIC CONTROL CHART; AVERAGE CONTROL CHART; CUSUM CONTROL CHARTS; MULTIVARIATE COEFFICIENT; CONFIDENCE-INTERVALS; COMMON COEFFICIENT; PERCENTAGE POINTS; PERFORMANCE; DESIGN;

D O I：

10.1016/j.cie.2021.107600

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

There are some situations when the process mean fluctuates from time to time but is still considered as in-control and the process standard deviation is a linear function of the process mean. In addition, in some cases, the mean and the variance of a process are actually dependent on each other. In these situations, many researchers have suggested to monitor the CV (Coefficient of Variation) as a single statistic. In this paper, a rigorous content analysis method (based on 71 related studies in this area from 2007 to 2021) is applied to categorize the articles that use the coefficient of variation in the SPM (statistical process monitoring) field, to identify the research gaps and to provide guidance to stimulate further researches in this direction.

引用

页数：16

共 102 条

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