IDEAS home Printed from https://ideas.repec.org/a/ids/ijisma/v4y2008i3-4p303-321.html
   My bibliography  Save this article

Supplier selection for industry: a fuzzy rule-based scoring approach with a focus on usability

Author

Listed:
  • Cuneyt Altinoz

Abstract

Compared to other selection problems, supplier selection is a particularly challenging application as often there's incomplete or imprecise information about the candidates and the key factors frequently are frequently difficult to quantify. Although the literature is replete with research to support this process, supplier selection decisions remain firmly in the domain of the human expert, while sophisticated decision support methodologies go unused in industry. This paper explores the issue of usability in supplier selection literature and proposes a usability focused methodology that combines elements from fuzzy rule-based expert systems and attribute scoring approaches. The objectives are twofold: to capture the nuances of supplier evaluation to the extent that will satisfy decision makers and to accomplish this in an intuitive manner so that the methodology can find acceptance in industry. The methodology is followed by a discussion of the tests carried out with an apparel company.

Suggested Citation

  • Cuneyt Altinoz, 2008. "Supplier selection for industry: a fuzzy rule-based scoring approach with a focus on usability," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 4(3/4), pages 303-321.
  • Handle: RePEc:ids:ijisma:v:4:y:2008:i:3/4:p:303-321
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=20757
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Alessio Ishizaka, 2014. "Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 1-22.

    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:ids:ijisma:v:4:y:2008:i:3/4:p:303-321. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=81 .

    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.