IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v46y2023i1p118-132.html
   My bibliography  Save this article

A novel inverse DEA model for restructuring DMUs with negative data

Author

Listed:
  • Saeid Ghobadi
  • Khosro Soleimani-Chamkhorami
  • Ehsan Zanboori

Abstract

One of the important issues in generalised restructuring of a set of units is the identification of the input and output levels from a new set of post-restructuring units. This paper deals with the generalised restructuring of decision making units (DMUs) in the presence of negative data for achieving efficiency targets. A novel inverse DEA model is proposed for modelling the generalised restructuring of a set of DMUs in the presence of negative data. Sufficient conditions are given for estimation of inputs and outputs of the new set of post-restructuring units to realise efficiency targets. A numerical example is employed to illustrate the developed theory.

Suggested Citation

  • Saeid Ghobadi & Khosro Soleimani-Chamkhorami & Ehsan Zanboori, 2023. "A novel inverse DEA model for restructuring DMUs with negative data," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 46(1), pages 118-132.
    • Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:118-132
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=128563
    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:ijores:v:46:y:2023:i:1:p:118-132. 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=170 .

    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.