IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v39y1990i3p331-340.html
   My bibliography  Save this article

How Reliable is Your Capability Index?

Author

Listed:
  • A. F. Bissell

Abstract

Quality engineers use capability (or precision) indices to indicate the extent to which a process or machine can satisfy a specification. Like all other parameter estimates based on sampling, such indices are subject to uncertainty. The paper presents simple but effective approximations for standard errors and confidence intervals for some widely used indices. The presentation covers both American and British/European terminology.

Suggested Citation

  • A. F. Bissell, 1990. "How Reliable is Your Capability Index?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(3), pages 331-340, November.
    • Handle: RePEc:bla:jorssc:v:39:y:1990:i:3:p:331-340
    DOI: 10.2307/2347383
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347383
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347383?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. Pearn, W.L. & Wu, Chien-Wei, 2006. "Production quality and yield assurance for processes with multiple independent characteristics," European Journal of Operational Research, Elsevier, vol. 173(2), pages 637-647, September.
    2. K. Kurian & Thomas Mathew & G. Sebastian, 2008. "Generalized confidence intervals for process capability indices in the one-way random model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(1), pages 83-92, January.
    3. Nien Fan Zhang, 1998. "Estimating process capability indexes for autocorrelated data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 559-574.
    4. Hsu, Ya-Chen & Pearn, W.L. & Chuang, Ya-Fei, 2009. "Sample size determination for production yield estimation with multiple independent process characteristics," European Journal of Operational Research, Elsevier, vol. 196(3), pages 968-978, August.
    5. Wang, Ching-Hsin & Chen, Kuen-Suan, 2020. "New process yield index of asymmetric tolerances for bootstrap method and six sigma approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 216-223.
    6. Rendao Ye & Tiefeng Ma & Songgui Wang, 2011. "Generalized confidence intervals for the process capability indices in general random effect model with balanced data," Statistical Papers, Springer, vol. 52(1), pages 153-169, February.
    7. Kuen-Suan Chen & Kung-Jeng Wang & Tsang-Chuan Chang, 2017. "A novel approach to deriving the lower confidence limit of indices , , and in assessing process capability," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 4963-4981, September.
    8. Chun-Min Yu & Tsun-Hung Huang & Kuen-Suan Chen & Tsung-Yu Huang, 2022. "Construct Six Sigma DMAIC Improvement Model for Manufacturing Process Quality of Multi-Characteristic Products," Mathematics, MDPI, vol. 10(5), pages 1-13, March.

    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:39:y:1990:i:3:p:331-340. 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.