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Technologies 2018, 6(3), 69; https://doi.org/10.3390/technologies6030069

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

1
Department of Statistics, National College of Business Administration & Economics, Lahore 54660, Pakistan
2
Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan
3
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 29 May 2018 / Revised: 18 July 2018 / Accepted: 23 July 2018 / Published: 30 July 2018
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Abstract

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. View Full-Text
Keywords: SPC; exponentially weighted moving average (EWMA); Cumulative Sum (CUSUM); auxiliary information; process control; ARL SPC; exponentially weighted moving average (EWMA); Cumulative Sum (CUSUM); auxiliary information; process control; ARL
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Mughal, M.A.; Azam, M.; Aslam, M. An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information. Technologies 2018, 6, 69.

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