A Note on Adaptive Extended EWMA Chart
Abdul Haq
Quaid-i-Azam University
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摘要与影响
A new adaptive extended exponentially weighted moving average (AEEWMA) chart has recently been proposed for monitoring the mean of a normally distributed process. In this paper, using the conditional expected delay metric, we reevaluate the performance of the AEEWMA chart. The results show that the classical exponentially weighted moving average (EWMA) chart may outperform the AEEWMA chart when detecting delayed moderate shifts in the process mean. Overall, the adaptive EWMA chart may outperform the EWMA and AEEWMA charts when detecting various delayed shifts in the process mean.
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计算机 / AIAdvanced Statistical Process Monitoring
Fault Detection and Control Systems · Management Systems and Quality Improvement
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