IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-2380-6_3.html
   My bibliography  Save this book chapter

Multivariate Monitoring of the Process Mean and Variability Using Combinations of Shewhart and MEWMA Control Charts

In: Frontiers in Statistical Quality Control 9

Author

Listed:
  • Marion R. Reynolds Jr

    (Virginia Polytechnic Institute and State University, Department of Statistics)

  • Zachary G. Stoumbos

    (Rutgers, The State University of New Jersey)

Abstract

Summary Control charts are considered for the problem of simultaneously monitoring the mean and variability of a multivariate process when the joint distribution of the process variables is multivariate normal. We investigate sets of univariate EWMA charts used in combination with sets of Shewhart charts or in combination with sets of EWMA charts based on the squared deviations of the observations from target. We also investigate the MEWMA control chart used in combination with a multivariate Shewhart control chart or with a form of MEWMA-type chart based on the squared deviations from target. We conclude that a combination of multivariate charts gives somewhat better average performance than a combination of sets of univariate charts, and that a combination of MEWMA charts that includes one based on the squared deviations from target gives the best overall performance.

Suggested Citation

  • Marion R. Reynolds Jr & Zachary G. Stoumbos, 2010. "Multivariate Monitoring of the Process Mean and Variability Using Combinations of Shewhart and MEWMA Control Charts," Springer Books, in: Hans-Joachim Lenz & Peter-Theodor Wilrich & Wolfgang Schmid (ed.), Frontiers in Statistical Quality Control 9, pages 37-54, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2380-6_3
    DOI: 10.1007/978-3-7908-2380-6_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-7908-2380-6_3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.