Information from the abstract
This research evaluates the efficacy of EWMA control charts based on SARMAX models, contrasting explicit formulae and Numerical Integral Equation (NIE) techniques for determining Average Run Length (ARL). The research examines six SARMAX models under varying smoothing factors (= 0.15, 0.20, 0.25) with ARL0=370. Analysis shows that SARMAX(2,1,2)12 has the largest control limits while SARMAX(1,2,1)12 has the lowest. It's clear that increasing the parameter increases both the control limits and the ARL, but this comes at the cost of making the process less sensitive to changes. The findings validate explicit formulas as a reliable, efficient, and practical alternative for ARL computation in EWMA control charts applied to SARMAX processes, particularly beneficial for real-time monitoring applications.
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This record has an Impact Signal of 72/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.
Related topics: Advanced Statistical Process Monitoring · Fault Detection and Control Systems · Water Quality Monitoring and Analysis
Thai researcher and institutional participation
Wannaphon Suriyakat · Kanita Petcharat · Pibulsongkram Rajabhat University · King Mongkut's University of Technology North Bangkok
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