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EWMA Chart and Measurement Error
Authors:Petros Maravelakis   John Panaretos  Stelios Psarakis
Affiliation: a Department of Statistics, Athens University of Economics and Business, Athens, Greece.
Abstract:Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving linear covariates. We investigate the ability of the EWMA chart in the case of a shift in mean. The effect of taking multiple measurements on each sampled unit and the case of linearly increasing variance are also examined. We prove that, in the case of measurement error, the performance of the chart regarding the mean is significantly affected.
Keywords:Exponentially Weighted Moving Average Control Chart  Average Run Length  Average Time To Signal  Measurement Error  Markov Chain  Statistical Process Control
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