IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v24y2018i1p59-83.html
   My bibliography  Save this article

Supplier selection model using QFD-ANP methodology under fuzzy multi-criteria environment

Author

Listed:
  • Neda Ahmadizadeh-Tourzani
  • Abbas Keramati
  • Arash Apornak

Abstract

Supplier selection is the most fundamental decision in the purchase management phase. Purchase is the most functional activity among several activities in a supply chain. A proper supplier selection supports a company's long-term strategies and its competitive position. Due to presence of ambiguities and uncertainties in the decision making process for selecting suppliers, fuzzy techniques could provide more reliable and flexible decision of supplier selection problem. In such techniques, customer needs and engineering requirements are weighted by the method of fuzzy analytic network process (ANP) and relationship matrix of quality function deployment (QFD) in fuzzy environment of their importance degree, respectively. Using a mathematical model would integrate the amount of cost components and objective factor measure (OFM). The integrated method is applied to a case study in a reputable Iranian automotive company. The results show the efficiency of the method through considering the viewpoint of decision-makers and their dependence on each other.

Suggested Citation

  • Neda Ahmadizadeh-Tourzani & Abbas Keramati & Arash Apornak, 2018. "Supplier selection model using QFD-ANP methodology under fuzzy multi-criteria environment," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 24(1), pages 59-83.
    • Handle: RePEc:ids:ijpqma:v:24:y:2018:i:1:p:59-83
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=91172
    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. Zhiqin Zou & Arash Farnoosh & Tom Mcnamara, 2021. "Risk analysis in the management of a green supply chain," Post-Print hal-03181313, HAL.
    2. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.

    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:ijpqma:v:24:y:2018:i:1:p:59-83. 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=177 .

    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.