IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Adding value in supply chains by improving operational efficiency using data envelopment analysis: a case from published data

  • P. Sunil Dharmapala
Registered author(s):

    Data envelopment analysis (DEA) has been used in many studies to measure the efficiency of supply chains. There, the authors primarily used the traditional Charnes-Cooper-Rhodes (CCR) and Banker-Charnes-Cooper (BCC) models to measure relative efficiency of decision-making units in the supply chain, and their main focus was on enhancing the efficiency of inefficient units. In this paper, using the CCR model with intrinsic assurance regions (IAR), we focus on how to make cost savings in a supply chain by projecting inefficient supply units on to the efficient frontier. By analysing suppliers' data already published in the literature, we demonstrate how to add value in the supply chain by improving operational efficiency of inefficient supply units.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.inderscience.com/link.php?id=21099
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Inderscience Enterprises Ltd in its journal Int. J. of Applied Management Science.

    Volume (Year): 1 (2008)
    Issue (Month): 2 ()
    Pages: 160-175

    as
    in new window

    Handle: RePEc:ids:injams:v:1:y:2008:i:2:p:160-175
    Contact details of provider: Web page: http://www.inderscience.com/browse/index.php?journalID=286

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ids:injams:v:1:y:2008:i:2:p:160-175. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Graham Langley)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.