IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v46y2023i2p174-205.html
   My bibliography  Save this article

Methodology for the supplier selection and valuation problem by using a combined grouping and multi-criteria approach

Author

Listed:
  • Anyi Reyes
  • John Willmer Escobar
  • Julio Cesar Londoño

Abstract

The supplier selection problem (SSP) determines the choice of the best suppliers by considering qualitative and quantitative criteria. This paper proposes a two-stage hybrid methodology for selecting suppliers using the K-means grouping technique and the multi-criteria decision-making technique for order performance by similarity to ideal solution (TOPSIS). In particular, suppliers are grouped according to the K-means algorithm using diverse purchase categories of services and goods. Once the groups of suppliers with the best performance have been generated by considering several criteria, the TOPSIS algorithm establishes their ranking. The proposed approach seeks to minimise the purchase cost by selecting the suppliers with the best results under different criteria. The former methodology has been tested in a real case on a company belonging to the agro-industrial sector in Colombia. The obtained results show the efficiency of the proposed approach.

Suggested Citation

  • Anyi Reyes & John Willmer Escobar & Julio Cesar Londoño, 2023. "Methodology for the supplier selection and valuation problem by using a combined grouping and multi-criteria approach," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 46(2), pages 174-205.
    • Handle: RePEc:ids:ijlsma:v:46:y:2023:i:2:p:174-205
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=134401
    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:ijlsma:v:46:y:2023:i:2:p:174-205. 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=134 .

    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.