Exclusive Content & Downloads from ASQ

The Reverse Moving Average Control Chart for Monitoring Autocorrelated Processes

Summary: [This abstract is based on the authors' abstract.]

Forecast-based monitoring schemes have been extensively researched in regards to the application of traditional control charts to forecast errors that arise from various autocorrelated processes. The dynamic response and behavior of forecast errors after experiencing a shift in the process mean make it difficult to choose a suitable control. The reverse moving average control chart is proposed as a new forecast-based monitoring scheme. This new control chart is compared to traditional methods applied to ARMA(1,1), AR(1), and MA(1) processes. Recommendations are made concerning the most appropriate control chart to use in situations involving the charting of autorelated processes.

Anyone with a subscription, including Site and Enterprise members, can access this article.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

Subscribe to Journal of Quality Technology

Access this and ALL OTHER Journal of Quality Technology online articles. You'll also receive the print version by mail.

  • Topics:
  • Keywords: ARMA (autoregressive moving average) model,Run length,Control charts,Shewhart control chart,Monitoring,Time series,Exponentially weighted moving average control charts (EWMA),Forecasting
  • Author: Dyer, John N.; Adams, Benjamin M.; Conerly, Michael D.
  • Journal: Journal of Quality Technology