Combined Application of Shewhart and Cumulative Sum R Chart for Monitoring Process Dispersion

2014 ◽  
Vol 32 (1) ◽  
pp. 51-67 ◽  
Author(s):  
Mu'azu Ramat Abujiya ◽  
Muhammad Hisyam Lee ◽  
Muhammad Riaz
Keyword(s):  
Cumulative Sum ◽  
Combined Application ◽  
Monitoring Process ◽  
Process Dispersion

scholarly journals Enhanced Cumulative Sum Charts for Monitoring Process Dispersion

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0124520 ◽  
Author(s):  
Mu’azu Ramat Abujiya ◽  
Muhammad Riaz ◽  
Muhammad Hisyam Lee
Keyword(s):  
Cumulative Sum ◽  
Monitoring Process ◽  
Process Dispersion ◽  
Cumulative Sum Charts

Comparing Robustness of EWMA Dispersion Control Chart for Non-Normal Process

2014 ◽  
Vol 912-914 ◽  
pp. 1189-1192
Author(s):  
Hai Yu Wang
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
Normal Process ◽  
Comparison Analysis ◽  
Run Length ◽  
Monitoring Process ◽  
Process Dispersion

This article discusses robustness to non-normality of EWMA charts for dispersion. Comparison analysis of run length of four kinds of EWMA charts to monitoring process dispersion is provided to evaluate control charts performance and robustness. At last robust EWMA dispersion charts for non-normal processes are proposed by this way.

A comparison of control charting procedures for monitoring process dispersion

1999 ◽  
Vol 31 (6) ◽  
pp. 569-579 ◽  
Author(s):  
CESAR A. ACOSTA-MEJIA ◽  
JOSEPH J. PIGNATIELLO ◽  
B. VENKATESHWARA RAO
Keyword(s):  
Control Charting ◽  
Monitoring Process ◽  
Process Dispersion

A New EWMA Chart for Monitoring Process Dispersion

2008 ◽  
Vol 40 (3) ◽  
pp. 319-331 ◽  
Author(s):  
Lianjie Shu ◽  
Wei Jiang
Keyword(s):  
Ewma Chart ◽  
Monitoring Process ◽  
Process Dispersion

scholarly journals A Robust Control Chart for Monitoring Dispersion

2013 ◽  
Vol 2013 ◽  
pp. 1-5
Author(s):  
Maoyuan Zhou ◽  
Wei Geng
Keyword(s):  
Robust Control ◽  
Control Chart ◽  
Control Charts ◽  
Nonparametric Test ◽  
Dispersion Parameters ◽  
Monitoring Process ◽  
Location Parameters ◽  
Process Dispersion ◽  
Change Point Model ◽  
Process Location

Most robust control charts in the literature are for monitoring process location parameters, such as mean or median, rather than process dispersion parameters. This paper develops a new robust control chart by integrating a two-sample nonparametric test into the effective change-point model. Our proposed chart is easy in computation, convenient to use, and very powerful in detecting process dispersion shifts.

Monitoring Process Dispersion without Subgrouping

2000 ◽  
Vol 32 (2) ◽  
pp. 89-102 ◽  
Author(s):  
César A. Acosta-Mejía ◽  
Joseph J. Pignatiello
Keyword(s):  
Monitoring Process ◽  
Process Dispersion
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