IDEAS home Printed from
   My bibliography  Save this article

Classification of Data Envelopment Analysis models


  • Anna Cwiakala-Malys

    () (Instytut Nauk Ekonomicznych, Uniwersytet Wroclawski, Poland)

  • Wioletta Nowak

    () (Instytut Nauk Ekonomicznych, Uniwersytet Wroclawski, Poland)


This article contains a method for classifying Data Envelopment Analysis models. Two main criteria i.e. orientation and returns to scale are used. These criteria enable distinguishing between oriented and non-oriented DEA models with constant and variable returns to scale. Basic properties of input oriented and output oriented DEA models with constant returns to scale are illustrated using an example of the CCR model. The BCC model is used to characterize the oriented DEA model with variable returns to scale. A graphical presentation of the efficiency frontier and the efficiency measure and primal and dual programming problems are presented for both types of models. In the article an additive model is considered as an example of a non-oriented DEA model. Moreover, other ways of classifying DEA models are also shown.

Suggested Citation

  • Anna Cwiakala-Malys & Wioletta Nowak, 2009. "Classification of Data Envelopment Analysis models," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 3, pages 5-18.
  • Handle: RePEc:wut:journl:v:3:y:2009:p:5-18

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Berger, A. N. & Brockett, P. L. & Cooper, W. W. & Pastor, J. T., 1997. "New approaches for analyzing and evaluating the performance of financial institutions," European Journal of Operational Research, Elsevier, vol. 98(2), pages 170-174, April.
    3. Banker, Rajiv D. & Cooper, William W. & Seiford, Lawrence M. & Thrall, Robert M. & Zhu, Joe, 2004. "Returns to scale in different DEA models," European Journal of Operational Research, Elsevier, vol. 154(2), pages 345-362, April.
    4. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    5. Kleine, A., 2004. "A general model framework for DEA," Omega, Elsevier, vol. 32(1), pages 17-23, February.
    6. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
    7. Pekka Korhonen & Mikko Syrjänen, 2003. "Evaluation of Cost Efficiency in Finnish Electricity Distribution," Annals of Operations Research, Springer, vol. 121(1), pages 105-122, July.
    8. Gattoufi, Said & Oral, Muhittin & Reisman, Arnold, 2004. "A taxonomy for data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 38(2-3), pages 141-158.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Wojciech Major, 2015. "Data Envelopment Analysis as an instrument for measuring the efficiency of courts," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 4, pages 19-34.


    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:wut:journl:v:3:y:2009:p:5-18. 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: (Piotr Wawrzynowski). General contact details of provider: .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.