IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v030i13.html
   My bibliography  Save this article

An Excel Add-In for Statistical Process Control Charts

Author

Listed:
  • Buttrey, Samuel E.

Abstract

Statistical process control (SPC) descibes a widely-used set of approaches used to detect shifts in processes in, for example, manufacturing. Among these are "control charts". Control charts and other SPC techniques have been in use since at least the'50s, and, because they are comparatively unsophisticated, are often used by management or operations personnel without formal statistical training. These personnel will often have experience with the popular spreadsheet program Excel, but may have less training on a mainstream statistical package. Base Excel does not provide the ability to draw control charts directly, although add-ins for that purpose are available for purchase. We present a free add-in for Excel that draws the most common sorts of control charts. It follows the development of the textbook of Montgomery (2005), so it may be well-suited for instructional purposes.

Suggested Citation

  • Buttrey, Samuel E., 2009. "An Excel Add-In for Statistical Process Control Charts," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i13).
  • Handle: RePEc:jss:jstsof:v:030:i13
    DOI: http://hdl.handle.net/10.18637/jss.v030.i13
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v030i13/v30i13.pdf
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v030i13/SPCCharts.1.4.1.xla.zip
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v030i13/v30i13.xls.zip
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v030i13/v30i13.zip
    Download Restriction: no

    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v030.i13?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Balázs Dobi & András Zempléni, 2022. "Markovchart: an R package for cost-optimal patient monitoring and treatment using control charts," Computational Statistics, Springer, vol. 37(4), pages 1653-1693, September.

    More about this item

    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:jss:jstsof:v:030:i13. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    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.