An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information

Among the Statistical Process Control (SPC) techniques, control charts are considered to be high weight-age due to their effectiveness in process variation. As the Shewhart’s charts are not that active in monitoring small and moderate process variations, the statisticians have been making efforts to...

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Bibliographic Details
Published in:Technologies (Basel) 2018-09, Vol.6 (3), p.69
Main Authors: Mughal, Muhammad Anwar, Azam, Muhammad, Aslam, Muhammad
Format: Article
Language:English
Subjects:
ARL
auxiliary information
Control charts
Cumulative Sum (CUSUM)
exponentially weighted moving average (EWMA)
Monitoring
Performance enhancement
process control
Process controls
SPC
Statistical process control
Statistics
Weight
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Summary:Among the Statistical Process Control (SPC) techniques, control charts are considered to be high weight-age due to their effectiveness in process variation. As the Shewhart’s charts are not that active in monitoring small and moderate process variations, the statisticians have been making efforts to improve the performance of the control chart by introducing several techniques within the tool. These techniques consist of experimenting with different estimators, different sampling selection techniques, and mixed methodologies. The proposed chart is one of the examples of a mixed chart technique that has shown its efficiency in monitoring small variations better than any of the existing techniques in the specific situation of auxiliary information. To show and compare its performance, average run length (ARL) tables and ARL curves have been presented in the article. An industrial example has also been included to show the practical application of the proposed chart in a real scenario.
ISSN:2227-7080
2227-7080
DOI:10.3390/technologies6030069