IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v21y2022i2p144-160.html
   My bibliography  Save this article

A triple bottom line multi-criteria decision making framework for supplier selection

Author

Listed:
  • Zahra Ebrahim Qazvini
  • Mohammad Reza Maleki

Abstract

When it comes to the controversy over the environmental and social issues and the rising public awareness, the main pressure is highly imposed on companies by the statesmen and their beneficiaries to go for sustainability. Such environmental and social concerns have competitively directed companies to a point that they feel obliged to place emphasis on green and social items in their procedures. In doing so, the selection of sustainable circular suppliers for the purpose of collaboration is regarded among the critical dimensions of environmental and social affairs. Therefore, this paper attempts to develop a hybrid framework based on fuzzy best-worst method (BWM) and fuzzy decision making trial and evaluation laboratory (DEMATEL) for selecting the sustainable supplier in a circular supply chain. In the proposed framework, the weights of criteria and their sub-criteria are calculated using fuzzy BWM and the interdependencies among the criteria are determined by fuzzy DEMATEL. Finally, the efficiency of the proposed framework is assessed using expert knowledge in an automotive parts manufacturing industry and five suppliers of this industry are ranked. The results indicate the effectiveness of the proposed framework.

Suggested Citation

  • Zahra Ebrahim Qazvini & Mohammad Reza Maleki, 2022. "A triple bottom line multi-criteria decision making framework for supplier selection," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 21(2), pages 144-160.
    • Handle: RePEc:ids:ijmdma:v:21:y:2022:i:2:p:144-160
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=121922
    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.

    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:ijmdma:v:21:y:2022:i:2:p:144-160. 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=19 .

    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.