IDEAS home Printed from https://ideas.repec.org/a/igg/jsds00/v6y2015i3p49-64.html
   My bibliography  Save this article

A Robust Data Envelopment Analysis Method with Bounded Data for Ranking Operations Strategies

Author

Listed:
  • Mohamad Amin Kaviani

    (Department of Industrial Engineering, College of Engineering, Shiraz branch, Islamic Azad University, Shiraz, Iran)

  • Mehdi Abbasi

    (Department of Industrial Engineering, College of Engineering, Shiraz branch, Islamic Azad University, Shiraz, Iran)

Abstract

This paper introduces a new robust data envelopment analysis (RDEA) approach for analyzing and ranking the organizations' operations strategies. In the proposed RDEA method, pessimistic and optimistic efficiencies of decision making units (DMUs) obtained from the robust counterpart of the envelopment form and the optimistic counterpart of the multiplier form of DEA are introduced. The inputs and outputs data are assumed to be bounded data (interval numbers) in the proposed models. A case study in the cement industry is presented to demonstrate the applicability of the proposed RDEA approach. The results obtained from the authors' proposed RDEA approach is more robust and their method provides a more complete ranking of the DMUs compared to conventional Likert-based DEA model.

Suggested Citation

  • Mohamad Amin Kaviani & Mehdi Abbasi, 2015. "A Robust Data Envelopment Analysis Method with Bounded Data for Ranking Operations Strategies," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 6(3), pages 49-64, July.
    • Handle: RePEc:igg:jsds00:v:6:y:2015:i:3:p:49-64
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDS.2015070104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jsds00:v:6:y:2015:i:3:p:49-64. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.