IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v15y2022i5p599-624.html
   My bibliography  Save this article

A model for improving cold supply chain performance: an integrated FISM/BWM/ANP approach

Author

Listed:
  • Masoomeh Jafarpour
  • Payam Shojaei
  • Moslem Alimohammadlou

Abstract

The importance of preserving perishable products, especially those with a short shelf-life, has led to the formation of a new sub-branch in the supply chain literature called the cold supply chain (CSC). This study sought to develop a model for improving the performance of the CSC in the dairy industry. First, the study identified the factors affecting the improvement of CSC performance by reviewing the literature and interviewing experts. The relationships between the factors were then explored and the level of each factor was found through fuzzy interpretive structural modelling (FISM). Finally, the priorities of all factors were identified via an integrated version of best-worst method (BWM) and analytic network process (ANP). The results showed that 'warehousing and quality of storage' and 'relationship with customer' had the highest priorities in improving the CSC performance. The results of this study could help managers dealing with dairy businesses to improve their CSC performance.

Suggested Citation

  • Masoomeh Jafarpour & Payam Shojaei & Moslem Alimohammadlou, 2022. "A model for improving cold supply chain performance: an integrated FISM/BWM/ANP approach," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 15(5), pages 599-624.
    • Handle: RePEc:ids:ijpman:v:15:y:2022:i:5:p:599-624
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125685
    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:ijpman:v:15:y:2022:i:5:p:599-624. 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=255 .

    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.