Exclusive Content & Downloads from ASQ

A General Multivariate Exponentially Weighted Moving-Average Control Chart

Summary: [This abstract is based on the authors' abstract.]A general multivariate exponentially weighted moving average (MEWMA) chart is proposed in which the smoothing matrix is full, rather than having only diagonal elements. The average run length (ARL) properties of this chart are investigated for a variety of quality control situations. Performance is measured by estimating the ARL and comparing it with that of the traditional diagonal multivariate EWMA chart. Allowing nonzero off-diagonal elements in the weight matrix of the new chart can improve MEWMA performance, particularly when the process shifts out of control in the startup stage. Performance of the new chart is illustrated with some medical data.

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: Quality Control, Statistical Process Control (SPC)
  • Keywords: Affinity diagram, Data smoothing, Exponentially weighted moving average control charts (EWMA), Average run length (ARL), Out-of-control process
  • Author: Hawkins, Douglas M.; Choi, Sungwoon; Lee, Sanghoon
  • Journal: Journal of Quality Technology