Paper Info
Title
New GWMA-CUSUM control chart for monitoring the process dispersion.
Abstract
The cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts have been widely accepted because of their fantastic speed in identifying small-to-moderate unusual variations in the process parameter(s). Recently, a new CUSUM chart has been proposed that uses the EWMA statistic, called the CS-EWMA chart, for monitoring the process variability. On similar lines, in order to further improve the detection ability of the CS-EWMA chart, we propose a CUSUM chart using the generally weighted moving average (GWMA) statistic, named the GWMA-CUSUM chart, for monitoring the process dispersion. Monte Carlo simulations are used to compute the run length profiles of the GWMA-CUSUM chart. On the basis of the run length comparisons, it turns out that the GWMA-CUSUM chart outperforms the CUSUM and CS-EWMA charts when identifying small variations in the process variability. A simulated dataset is also used to explain the working and implementation of the CS-EWMA and GWMA-CUSUM charts.
Year
DOI
Venue
2018
10.1002/qre.2304
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Keywords
Field
DocType
average run length,control chart,cumulative sum,exponentially weighted moving average,process dispersion,statistical process control
CUSUM,Dispersion (optics),Average run length,Exponentially weighted moving average,Control chart,Statistical process control,Engineering,Statistics
Journal
Volume
Issue
ISSN
34.0
6.0
0748-8017
Citations 
PageRank 
References 
0
0.34
11
Authors
2
Name
Order
Citations
PageRank
Rizwan Ali100.34
Abdul Haq26318.42