IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v10y2023i2p2228555.html
   My bibliography  Save this article

Supplier selection using Fuzzy DEA credibility constrained and relative closeness index: A case of Indonesian manufacturing industry

Author

Listed:
  • Ilyas Masudin
  • Candra Adelia Mawarni
  • Rahmad Wisnu Wardana
  • Dian Palupi Restuputri

Abstract

Supplier selection plays a crucial role in enhancing the competitiveness and operational efficiency of manufacturing industries. In the Indonesian manufacturing sector, where market conditions are dynamic and complex, the need for an effective supplier selection methodology is particularly critical. The suggested method converts conventional DEA (Data Envelopment Analysis) models into fuzzy events through the application of credibility measures. Additionally, the relative closeness (RC) index is employed to enhance the differentiating capability of traditional DEA. This article incorporates three input criteria and five output criteria. The findings suggest that higher values of the RC Index correspond to superior performance by the supplier. Furthermore, the study’s outcomes reveal that the credibility index influences the RC index. Imposing stricter credibility constraints can diminish the value of the RC index.

Suggested Citation

  • Ilyas Masudin & Candra Adelia Mawarni & Rahmad Wisnu Wardana & Dian Palupi Restuputri, 2023. "Supplier selection using Fuzzy DEA credibility constrained and relative closeness index: A case of Indonesian manufacturing industry," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2228555-222, December.
    • Handle: RePEc:taf:oabmxx:v:10:y:2023:i:2:p:2228555
    DOI: 10.1080/23311975.2023.2228555
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2023.2228555
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23311975.2023.2228555?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
    ---><---

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

    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:taf:oabmxx:v:10:y:2023:i:2:p:2228555. 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 Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.