A literature review on joint control schemes in statistical process monitoring

被引：18

作者：

Jalilibal, Zahra ^{[1
]}

Amiri, Amirhossein ^{[1
]}

Khoo, Michael B. C. ^{[2
]}

机构：

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

[2] Univ Sains Malaysia, Sch Math Sci, George Town, Malaysia

来源：

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2022年 / 38卷 / 06期

基金：

美国国家科学基金会;

关键词：

dispersion; joint control charts; location; process monitoring; statistical process monitoring (SPM); WEIGHTED MOVING AVERAGE; LINEARLY INCREASING VARIANCE; LIKELIHOOD RATIO TEST; EWMA CONTROL CHARTS; MEASUREMENT ERROR; MEAN VECTOR; COVARIANCE-MATRIX; VARIABILITY; LOCATION; DESIGN;

D O I：

10.1002/qre.3114

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Process monitoring is regarded as a continuous phenomenon requiring careful consideration to acquire an enhanced output quality. Dispersion and location are significant parameters in the entire process, and timely detection of the changes that occur in a stable process is needed. Today, quality practitioners recommend using a single charting setup offering better capability of detecting joint changes in the parameters of a process. As provided in the literature, a detailed review paper for simultaneous monitoring is conducted in 2013 which many reaserchers were attracted to publish papers in this field. In this paper, a meticulous content analysis (on the basis of 59 reviewed papers in the field of joint monitoring from 2013 to 2021) is exploited to classify the papers that includes joint control charts for statistical process monitoring (SPM), to identify the potential topics and present some suggestions for further studies in simultaneous monitoring.

引用

页码：3270 / 3289

页数：20

共 81 条

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