IDEAS home Printed from https://ideas.repec.org/a/ids/ijbpsc/v4y2012i3-4p206-232.html
   My bibliography  Save this article

Measuring agility performance in fresh food supply chains: an ordinal two-stage data envelopment analysis

Author

Listed:
  • K. Khalili-Damghani
  • M. Taghavifard
  • L. Olfat
  • K. Feizi

Abstract

In this paper, a process-based model including several measures for providers of agility, capabilities of agility, and main goals of supply chain is proposed. Then, an ordinal two-stage data envelopment analysis (OTSDEA) model has been developed using qualitative measures. The proposed OTSDEA can measure the relative efficiency of the aforementioned process and sub-processes in supply chain. As the overall efficiency of supply chain decomposed among aforementioned sub-processes so, decision maker (DM) can gain a proper perspective of each sub-process as well as the inefficient segments. Moreover, if a given DMU is proved to be inefficient, the source of inefficiency can be found from among its sub-DMUs. This can supplies more managerial insights for modification of an inefficient sub-process in a DMU more efficiently. Real case study of a dairy supply chain is supplied to address the ability of proposed procedure to measure efficiency of two-stage process in real environment.

Suggested Citation

  • K. Khalili-Damghani & M. Taghavifard & L. Olfat & K. Feizi, 2012. "Measuring agility performance in fresh food supply chains: an ordinal two-stage data envelopment analysis," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 4(3/4), pages 206-232.
  • Handle: RePEc:ids:ijbpsc:v:4:y:2012:i:3/4:p:206-232
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=50390
    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. Mohammad Amirkhan & Hosein Didehkhani & Kaveh Khalili-Damghani & Ashkan Hafezalkotob, 2018. "Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1429-1467, September.
    2. Madjid Tavana & Kaveh Khalili-Damghani & Rahman Rahmatian, 2015. "A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies," Annals of Operations Research, Springer, vol. 226(1), pages 589-621, March.

    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:ijbpsc:v:4:y:2012:i:3/4:p:206-232. 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=341 .

    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.