A new exponentially weighted moving average sign chart using repetitive sampling

被引：52

作者：

Aslam, Muhammad ^{[1
]}

Azam, Muhammad ^{[1
]}

Jun, Chi-Hyuck ^{[2
]}

机构：

[1] Forman Christian Coll Univ, Dept Stat, Lahore, Pakistan

[2] POSTECH, Dept Ind & Management Engn, Pohang 790784, South Korea

来源：

JOURNAL OF PROCESS CONTROL | 2014年 / 24卷 / 07期

关键词：

Binomial distribution; EWMA; Repetitive sampling; Sign statistic; Average run length;

D O I：

10.1016/j.jprocont.2014.05.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new nonparametric control chart based on the exponentially weighted moving average (EWMA) sign statistic is proposed using repetitive sampling. The control chart is proposed to effectively detect the process mean shift away from the target value without the distributional assumption on the quality characteristic. The proposed control chart is based on two pairs of upper and lower control limits having different control coefficients. The in-control and the out-of-control average run lengths of the proposed control chart are evaluated through the Monte Carlo simulation. The proposed control chart is shown to be more efficient than the existing EWMA sign control chart in terms of the average run length. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：1149 / 1153

页数：5