A Nonparametric Repetitive Sampling DEWMA Control Chart Based on Linear Prediction

被引：20

作者：

Shafqat, Ambreen ^{[1
]}

Huang, Zhensheng ^{[1
]}

Aslam, Muhammad ^{[2
]}

Nawaz, Muhammad Shujaat ^{[3
,4
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Sci, Dept Stat & Financial Math, Nanjing 210094, Peoples R China

[2] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21589, Saudi Arabia

[3] Govt Punjab, Higher Educ Dept, Lahore 54000, Pakistan

[4] Natl Coll Business Adm & Econ, Dept Stat, Lahore 54660, Pakistan

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Control charts; Process control; Market research; Smoothing methods; Integrated circuits; Silicon; Manufacturing processes; Binomial distribution; control chart; DEWMA; EWMA; linear prediction; repetitive sampling; sign statistic; DESIGN;

D O I：

10.1109/ACCESS.2020.2989132

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Distribution-free control charts can be useful in statistical process control (SPC) when only limited or no information about the distribution of the data of the process is available. In this paper, a linear prediction related double exponentially weighted moving average (DEWMA) sign control chart using a repetitive sampling scheme (RSNPDEBLP) has been considered for a binomially distributed process variable to improve the efficiency of detecting small drifts in its place of small changes. The proposed RSNPDEBLP control chart is assessed in average run length (ARL) for the various values of sample sizes. The efficiency of the proposed RSNPDEBLP control chart is compared with the existing EWMA and DEWMA sign control charts using single sampling and repetitive sampling schemes in terms of ARLs. When there are small changes in the process after the stabilization period, the proposed control chart is used to control small trends rather than small shifts.

引用

页码：74977 / 74990

页数：14

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