IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v20y1974i7p1112-1121.html
   My bibliography  Save this article

Cost Minimizing Single Sampling Plans with AIQL and AOQL Constraints

Author

Listed:
  • Sedat Sami Ercan

    (Roosevelt University, Chicago)

  • M. Zia Hassan

    (Illinois Institute of Technology, Chicago)

  • Ajva Taulananda

    (Thailand Management Development and Productivity Center, Bangkok, Thailand)

Abstract

This paper investigates and formulates the relationships among average incoming quality limit (AIQL), production process quality level and average fraction defective after production process for a single-stage manufacturing connected-unit situation. Cost components of the system are identified. In order to derive minimum cost single sampling plans where inspection is by attribute, a mathematical model is developed and plans are obtained using discrete optimization for the total expected loss function subject to AIQL and AOQL equality constraints.

Suggested Citation

  • Sedat Sami Ercan & M. Zia Hassan & Ajva Taulananda, 1974. "Cost Minimizing Single Sampling Plans with AIQL and AOQL Constraints," Management Science, INFORMS, vol. 20(7), pages 1112-1121, March.
    • Handle: RePEc:inm:ormnsc:v:20:y:1974:i:7:p:1112-1121
    DOI: 10.1287/mnsc.20.7.1112
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.20.7.1112
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.20.7.1112?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. Qin, Ruwen & Cudney, Elizabeth A. & Hamzic, Zlatan, 2015. "An optimal plan of zero-defect single-sampling by attributes for incoming inspections in assembly lines," European Journal of Operational Research, Elsevier, vol. 246(3), pages 907-915.

    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:inm:ormnsc:v:20:y:1974:i:7:p:1112-1121. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.