IDEAS home Printed from https://ideas.repec.org/a/ids/ijbire/v12y2017i1p94-119.html
   My bibliography  Save this article

Application of AHP in reverse logistics service provider selection: a case study

Author

Listed:
  • Vipul Jain
  • Sharfuddin Ahmed Khan

Abstract

In the recent time, reverse logistics has become essential for organisations because of unavoidable product returns, government regulation, environmental concerns and sustainability. Reverse logistic is one way to reduce costs, increase revenue and remain competitive in market. In many organisations, by-products and waste materials have the potential to become valuable inputs. Not many organisations have a satisfactory reverse logistics system for recovering their rejected parts for reuse or recycle. This is because of lack of systematic investigation and importance. In this connection, this paper formulates the reverse logistics service provider selection as a multi criteria decision making problem and develops a methodology to select the best two reverse logistics service providers for an injection moulding parts manufacturer company using analytical hierarchy process (AHP). A real life case study demonstrates the application of the proposed method and sensitivity analysis is carried out to confirm the robustness of the proposed methodology.

Suggested Citation

  • Vipul Jain & Sharfuddin Ahmed Khan, 2017. "Application of AHP in reverse logistics service provider selection: a case study," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 12(1), pages 94-119.
  • Handle: RePEc:ids:ijbire:v:12:y:2017:i:1:p:94-119
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=80711
    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. Zunhao Luo & Zexin Li, 2019. "A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application," Mathematics, MDPI, vol. 7(11), pages 1-32, November.
    2. Lizhong Tong & Zhongmin Pu & Jizheng Ma, 2019. "Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    3. Geoffrey Barongo Omosa & Solange Ayuni Numfor & Monika Kosacka-Olejnik, 2023. "Modeling a Reverse Logistics Supply Chain for End-of-Life Vehicle Recycling Risk Management: A Fuzzy Risk Analysis Approach," Sustainability, MDPI, vol. 15(3), pages 1-19, January.

    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:ijbire:v:12:y:2017:i:1:p:94-119. 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=203 .

    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.