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A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
Journal: International Journal for Quality Research (Vol.4, No. 3)Publication Date: 2010-09-30
Authors : Mike Cox;
Page : 171-180
Keywords : ARL; average run length; EWMA chart; Exponentially Weighted Moving Average chart; neural network; parameter estimation; SPC; statistical process control;
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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.
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Last modified: 2015-11-22 23:03:23