Article1997

The EWMA control chart: properties and comparison with other quality-control procedures by computer simulation

84 citations0/0 files storedClinical Chemistry

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Advanced Statistical Process Monitoring Clinical Laboratory Practices and Quality Control Fault Detection and Control Systems

Abstract

A quality-control chart based on exponentially weighted moving averages (EWMA) has, in the past few years, become a popular tool for controlling inaccuracy in industrial quality control. In this paper, I explain the principles of this technique, present some numerical examples, and by computer simulation compare EWMA with other control charts currently used in clinical chemistry. The EWMA chart offers a flexible instrument for visualizing imprecision and inaccuracy and is a good alternative to other charts for detecting inaccuracy, especially where small shifts are of interest. Detection of imprecision with EWMA charts, however, requires special modification.

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1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements 1959Control Chart Tests Based on Geometric Moving Averages 2000Control Chart Tests Based on Geometric Moving Averages 1987A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts 1989Design of Exponentially Weighted Moving Average Schemes 1977Combined Shewhart-cusum control chart for improved quality control in clinical chemistry.

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2011Number of Replications Required in Monte Carlo Simulation Studies: A Synthesis of Four Studies 2007Number of Replications Required in Control Chart Monte Carlo Simulation Studies 2011MDEWMA chart: an efficient and robust alternative to monitor process dispersion 2007Exponentially Weighted Moving Average (EWMA) Control Charts for Monitoring an Analytical Process 2014EWMA Dispersion Control Charts for Normal and Non‐normal Processes 2010On the Performance of EWMA Chart in the Presence of Two-Component Measurement Error 2020Control charts based on randomized quantile residuals

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