DEWMA-MA Control Chart Development within the Range to Improve the Detection of Changes in Process Variation.
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| Title: | DEWMA-MA Control Chart Development within the Range to Improve the Detection of Changes in Process Variation. |
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| Authors: | Phantu, Suganya1 suganya.p@sciee.kmutnb.ac.th, Areepong, Yupaporn2 yupaporn.a@sci.kmutnb.ac.th, Sukparungsee, Saowanit2 saowanit.s@sci.kmutnb.ac.th |
| Source: | IAENG International Journal of Applied Mathematics. Apr2026, Vol. 56 Issue 4, p1316-1324. 9p. |
| Subjects: | Quality control charts, Statistical process control, Simulation methods & models, Process control systems |
| Abstract: | This study examines the performance of four control charts for monitoring process variability: Range (R) chart, Moving Average (MA) chart, Double Exponentially Weighted Moving Average (DEWMA) chart, and hybrid DEWMA-MA chart. The evaluation is conducted through simulation using three performance measures: Average Run Length (ARL), Standard Deviation of Run Length (SDRL), and Median Run Length (MRL). Subgroup sizes of 5, 10, and 15, along with varying moving average widths and smoothing parameters, are considered to assess chart responsiveness under different process conditions. The results confirm that all charts are properly calibrated, with in-control ARL values close to the theoretical standard of 370. However, the DEWMA-MA chart consistently outperforms the others in detecting small-to-moderate shifts, producing shorter ARL, SDRL, and MRL values. For large shifts, performance converges across all methods, though DEWMA-MA exhibits lower detection variability. A real manufacturing dataset further validates the superiority of the DEWMA-MA chart, highlighting its robustness and reliability as a tool for statistical process control. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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