IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v42y1993i2p271-281.html
   My bibliography  Save this article

Stochastic Ordering Approach to Off‐Line Quality Control

Author

Listed:
  • S. N. U. A. Kirmani
  • Shyamal Das Peddada

Abstract

The notion of stochastic ordering is used to obtain performance criteria for the parameter design problem when the target value for the quality characteristic is fixed. This approach provides a rigorous alternative to Taguchi's signal‐to‐noise ratios. Sample analogues of the performance criteria are introduced. A procedure for obtaining optimum factor levels is developed and illustrated. While retaining the good features of the Taguchi methodology, our procedure overcomes some of the objections to his applications of the analysis of variance.

Suggested Citation

  • S. N. U. A. Kirmani & Shyamal Das Peddada, 1993. "Stochastic Ordering Approach to Off‐Line Quality Control," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(2), pages 271-281, June.
  • Handle: RePEc:bla:jorssc:v:42:y:1993:i:2:p:271-281
    DOI: 10.2307/2986232
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2986232
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2986232?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
    ---><---

    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:bla:jorssc:v:42:y:1993:i:2:p:271-281. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.