Exact Average Run Length Evaluation on a Two-Sided Extended EWMA Control Chart for the Moving Average Process

The Extended Exponentially Weighted Moving Average (Extended EWMA) control chart is a type of control chart that is effective in promptly identifying minor deviations. The evaluation of control charts can be conducted using the average run length (ARL). Finding the explicit formulas for the ARL on a two-sided Extended EWMA control chart for the moving average process (MA(q)) has not been reported previously and the purpose of this research. The processes considered the MA(2) and MA(3) processes, all with exponential white noise. The accuracy of the analytical solution was assessed using the Extended EWMA control chart compared to the numerical integral equation (NIE) approach. The results show that there is minimal difference between the ARL by the explicit formula and the NIE. In addition, the performance of the Extended EWMA control chart is better than the EWMA control chart for all shift sizes, both the MA(2) and MA(3) processes. Finally, the analytical solution for the ARL is utilized using actual data on the monthly fuel price in Thailand, to showcase the effectiveness of the suggested approach.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SYSTEMS
Published
2025-04-01
DOI
https://doi.org/10.37394/23202.2025.24.16
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Exact Average Run Length Evaluation on a Two-Sided Extended EWMA Control Chart for the Moving Average Process

Saowanit Sukparungsee, Phunsa Mongkoltawat, Yupaporn Areepong
WSEAS TRANSACTIONS ON SYSTEMS
Advanced Statistical Process Monitoring
article

Exact Average Run Length Evaluation on a Two-Sided Extended EWMA Control Chart for the Moving Average Process

Saowanit Sukparungsee, Phunsa Mongkoltawat, Yupaporn Areepong
article en

Abstract

The Extended Exponentially Weighted Moving Average (Extended EWMA) control chart is a type of control chart that is effective in promptly identifying minor deviations. The evaluation of control charts can be conducted using the average run length (ARL). Finding the explicit formulas for the ARL on a two-sided Extended EWMA control chart for the moving average process (MA(q)) has not been reported previously and the purpose of this research. The processes considered the MA(2) and MA(3) processes, all with exponential white noise. The accuracy of the analytical solution was assessed using the Extended EWMA control chart compared to the numerical integral equation (NIE) approach. The results show that there is minimal difference between the ARL by the explicit formula and the NIE. In addition, the performance of the Extended EWMA control chart is better than the EWMA control chart for all shift sizes, both the MA(2) and MA(3) processes. Finally, the analytical solution for the ARL is utilized using actual data on the monthly fuel price in Thailand, to showcase the effectiveness of the suggested approach.

WSEAS TRANSACTIONS ON SYSTEMSVol. 24
King Mongkut's University of Technology North Bangkok (TH)
King Mongkut's University of Technology North Bangkok
Openalex Percentile: Top 93%
Advanced Statistical Process Monitoring
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