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Classification of Data Envelopment Analysis models

Author

Listed:
  • Anna Cwiakala-Malys

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

  • Wioletta Nowak

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

Abstract

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
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    File URL: http://www.ioz.pwr.wroc.pl/boid/artykuly/3-2009/art-1-cwiakala.pdf
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    References listed on IDEAS

    as
    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.
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    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.

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