Exponentially Weighted Moving Average – Tukey’s Control Charts for Moving Range and Range
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Abstract
The objective of this research is to propose Exponentially Weighted Moving Average – Tukey’s Control Charts for Moving Ranges and Ranges in order to detect a change in process variation underlying symmetric and asymmetric processes. The performance of the proposed control chart is compared with Exponentially Weighted Moving Average (EWMA) and Tukey’s Control Charts (TCC). The performance criterion are measured by Average Run Length (ARL) with Monte Carlo Simulation (MC) method. The results found that the proposed Exponentially Weighted Moving Average – Tukey’s Control Charts for Moving Ranges and Ranges are superior to EWMA and TCC Control Charts for all magnitudes of changes.
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References
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