An Extension for the Univariate Exponentially Weighted Moving Average Control Chart

Michael B. C. Khoo

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Advanced Statistical Process Monitoring Advanced Control Systems Optimization Fault Detection and Control Systems

Abstract

Abstract The univariate Exponentially Weighted Moving Average (EWMA) control chart, which will be called the EWMA chart hereafter is a good alternative to the Shewhart control chart when one is interested in detecting small shifts quickly. The performance of the EWMA control chart is comparable to that of the cumulative sum (CUSUM) control chart but the former is easier to set up and operate. In this paper, an approach by means of transformation of using the EWMA chart in a multivariate process monitoring will be discussed.

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1992Introduction to Statistical Quality Control 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements 2000Control Chart Tests Based on Geometric Moving Averages 1992A Multivariate Exponentially Weighted Moving Average Control Chart 1992Multivariate Control Charts for Individual Observations 1987A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts 1989Design of Exponentially Weighted Moving Average Schemes 1999EWMA Control Charts with Time-Varying Control Limits and Fast Initial Response

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