IDEAS home Printed from https://ideas.repec.org/a/ids/ijmcph/v10y2017i3p260-281.html
   My bibliography  Save this article

Multi-criteria decision making approach: a sustainable warehouse location selection problem

Author

Listed:
  • Rakesh D. Raut
  • Balkrishna E. Narkhede
  • Bhaskar B. Gardas
  • Vaijayanti Raut

Abstract

The selection of a strategic location of a sustainable warehouse is a multi-criteria decision making problem and has a great importance for many companies as it improves efficiency of the overall supply chain. The aim of the present research work is to identify the crucial, sustainable selection criteria for the chemical industry warehouse, along with the potential sites and to select the most appropriate site for the same. Eleven crucial selection parameters are identified from the literature review and opinions of experts, then analytic hierarchy process (AHP) is employed for ranking the criteria and selecting the best location among the four potential sites. After analysing the 11 selection parameters, it finds that governmental policies and regulations (C1), climatic conditions of the region (C2) and strategic location (C4) are the most significant factors. Site 'A' is found to have the highest relative weight amongst all four potential sites. The developed AHP hierarchical model is intended to guide the managers of the organisation in understanding the importance of the sustainability criteria in the process of warehouse selection.

Suggested Citation

  • Rakesh D. Raut & Balkrishna E. Narkhede & Bhaskar B. Gardas & Vaijayanti Raut, 2017. "Multi-criteria decision making approach: a sustainable warehouse location selection problem," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 10(3), pages 260-281.
    • Handle: RePEc:ids:ijmcph:v:10:y:2017:i:3:p:260-281
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=85834
    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. Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    2. Rasih Boztepe & Onur Çetin, 2020. "Sustainable Warehousing: Selecting The Best Warehouse for Solar Transformation," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(1), pages 97-110, June.

    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:ijmcph:v:10:y:2017:i:3:p:260-281. 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=90 .

    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.