IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v14y2013i3p373-397.html
   My bibliography  Save this article

3PL selection using hybrid model of AHP-PROMETHEE

Author

Listed:
  • Ankit Bansal
  • Pravin Kumar

Abstract

This research paper aims to give a new dimension to the decision maker by proposing a hybrid model of analytic hierarchy process (AHP) and preference ranking organisation method for enrichment evaluation (PROMETHEE) in 3PL selection. It uses an integrated approach of AHP-PROMTHEE as a selection methodology to select an efficient and requisite 3PL firm for a manufacturer. A relatively new and user interactive software, visual PROMETHEE has been used to solve the problem. The hybrid model of AHP-PROMETHEE is a sound technique for 3PL selection. AHP easily performs the cumbersome process of weighting diverse criteria, whereas PROMETHEE ranks various alternatives according to their performance on the basis of these criteria. Application of hybrid model of AHP-PROMETHEE is an important tool for multi-criteria decision making (MCDM). Further research work on this method and its variants like fuzzy AHP and PROMETHEE VI may enlighten a new path for the decision makers. Moreover development of accurate and user-friendly software may prove very helpful in the selection process. However, types of criteria, their number and their importance may vary from firm to firm. So, it becomes extremely difficult to generalise the view of the 3PL selection process.

Suggested Citation

  • Ankit Bansal & Pravin Kumar, 2013. "3PL selection using hybrid model of AHP-PROMETHEE," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 14(3), pages 373-397.
    • Handle: RePEc:ids:ijsoma:v:14:y:2013:i:3:p:373-397
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=52096
    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. Mohamed Rafik Noor Mohamed Qureshi, 2022. "A Bibliometric Analysis of Third-Party Logistics Services Providers (3PLSP) Selection for Supply Chain Strategic Advantage," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    2. Huchang Liao & Di Wu & Yulong Huang & Peijia Ren & Zeshui Xu & Mohit Verma, 2018. "Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE," Sustainability, MDPI, vol. 10(4), pages 1-16, April.

    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:ijsoma:v:14:y:2013:i:3:p:373-397. 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=150 .

    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.