A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
Journal Title: International Journal for Quality Research - Year 2010, Vol 4, Issue 3
Abstract
The exponentially weighted moving average chart (EWMA) is widely employed in quality control to monitor a process or to evaluate historic data. EWMA charts are designed to exhibit acceptable average run lengths both when the process is in and out of control. This paper introduces a functional technique for generating the parameters λ and Δ for such a chart that will have specified average run lengths. The parameters are estimated using regression plus an artificial neural network.
Authors and Affiliations
Mike Cox
Keywords
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