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The Exponentially Weighted Moving Average

The Exponentially Weighted Moving Average The Shewhart and CUSUM control chart techniques have found wide application in the manufacturing industries. However, workpiece quality has also been greatly enhanced by rapid and precise individual item measurements and by improvements in automatic dynamic machine control. One consequence is a growing similarity in the control problems faced by the workpiece quality control engineer and his compatriot in the continuous process industries. The purpose of this paper is to exposit a control chart technique that may be of value to both manufacturing and continuous process quality control engineers: the exponentially weighted moving average (EWMA) control chart. The EWMA has its origins in the early work of econometricians, and although its use in quality control has been recognized, it remains a largely neglected tool. The EWMA chart is easy to plot, easy to interpret, and its control limits are easy to obtain. Further, the EWMA leads naturally to an empirical dynamic control equation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Quality Technology Taylor & Francis

The Exponentially Weighted Moving Average

Journal of Quality Technology , Volume 18 (4): 8 – Oct 1, 1986

The Exponentially Weighted Moving Average

Journal of Quality Technology , Volume 18 (4): 8 – Oct 1, 1986

Abstract

The Shewhart and CUSUM control chart techniques have found wide application in the manufacturing industries. However, workpiece quality has also been greatly enhanced by rapid and precise individual item measurements and by improvements in automatic dynamic machine control. One consequence is a growing similarity in the control problems faced by the workpiece quality control engineer and his compatriot in the continuous process industries. The purpose of this paper is to exposit a control chart technique that may be of value to both manufacturing and continuous process quality control engineers: the exponentially weighted moving average (EWMA) control chart. The EWMA has its origins in the early work of econometricians, and although its use in quality control has been recognized, it remains a largely neglected tool. The EWMA chart is easy to plot, easy to interpret, and its control limits are easy to obtain. Further, the EWMA leads naturally to an empirical dynamic control equation.

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References (8)

Publisher
Taylor & Francis
Copyright
Copyright 1986 ASQ
ISSN
2575-6230
eISSN
0022-4065
DOI
10.1080/00224065.1986.11979014
Publisher site
See Article on Publisher Site

Abstract

The Shewhart and CUSUM control chart techniques have found wide application in the manufacturing industries. However, workpiece quality has also been greatly enhanced by rapid and precise individual item measurements and by improvements in automatic dynamic machine control. One consequence is a growing similarity in the control problems faced by the workpiece quality control engineer and his compatriot in the continuous process industries. The purpose of this paper is to exposit a control chart technique that may be of value to both manufacturing and continuous process quality control engineers: the exponentially weighted moving average (EWMA) control chart. The EWMA has its origins in the early work of econometricians, and although its use in quality control has been recognized, it remains a largely neglected tool. The EWMA chart is easy to plot, easy to interpret, and its control limits are easy to obtain. Further, the EWMA leads naturally to an empirical dynamic control equation.

Journal

Journal of Quality TechnologyTaylor & Francis

Published: Oct 1, 1986

Keywords: Cumulative Sum Control; Forecasting; Moving Averages; Process Control; Shewhart Control Charts

There are no references for this article.