IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v44y1997i6p591-603.html
   My bibliography  Save this article

Variable sampling plans for normal distribution indexed by Taguchi's loss function

Author

Listed:
  • Ikuo Arizono
  • Akihiro Kanagawa
  • Hiroshi Ohta
  • Kyouko Watakabe
  • Kouji Tateishi

Abstract

Taguchi has presented an approach to quality improvement in which reduction of deviation from the target value is the guiding principle. In this approach any measured value x of a product characteristic X brings a loss to consumer in general, where the loss is expressed as a quadratic form with respect to the difference between the measured value x and the target value T of a product characteristic. Then, it is natural to reject the lot which may bring a large loss to consumer. This concept induces us to construct new variable sampling plans based on the Taguchi's loss criterion. In this article, a design procedure of the sampling plans for assuring the loss in the Taguchi's method is proposed. Some numerical results based on the proposed design procedures are illustrated. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 591–603 (1997)

Suggested Citation

  • Ikuo Arizono & Akihiro Kanagawa & Hiroshi Ohta & Kyouko Watakabe & Kouji Tateishi, 1997. "Variable sampling plans for normal distribution indexed by Taguchi's loss function," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(6), pages 591-603, September.
    • Handle: RePEc:wly:navres:v:44:y:1997:i:6:p:591-603
    DOI: 10.1002/(SICI)1520-6750(199709)44:63.0.CO;2-Z
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1520-6750(199709)44:63.0.CO;2-Z
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1520-6750(199709)44:63.0.CO;2-Z?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. Michele Scagliarini, 2022. "A sequential test and a sequential sampling plan based on the process capability index Cpmk," Computational Statistics, Springer, vol. 37(3), pages 1523-1550, July.
    2. Chien-Wei Wu & Zih-Huei Wang, 2017. "Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2351-2364, April.
    3. Ryosuke Tomohiro & Ikuo Arizono & Yasuhiko Takemoto, 2016. "Proposal of variable sequential sampling plan having desired operating characteristics indexed by quality loss," International Journal of Production Research, Taylor & Francis Journals, vol. 54(19), pages 5742-5760, October.

    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:wly:navres:v:44:y:1997:i:6:p:591-603. 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://doi.org/10.1002/(ISSN)1520-6750 .

    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.