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Classification of Data Envelopment Analysis models

Author

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  • Anna Ćwiąkała-Małys
  • Violetta Nowak

Abstract

W artykule podjęto próbę klasyfikacji modeli badania efektywności względnej podmiotów gospodarczych, posługując się kryterium orientacji i korzyści skali. Wyróżniono zorientowane i niezorientowane modele DEA, w których przyjmuje się założenie o stałych lub zmiennych korzyściach skali. Charakterystykę modeli zorientowanych na nakłady i wyniki, które zakładają stałe korzyści przedstawiono na przykładzie modelu CCR. Model BCC natomiast został wykorzystany jako podstawowy przykład modelu zorientowanego o zmiennych korzyściach skali. W obu przypadkach przedstawiono graficzną interpretację granicy efektywności, miary efektywności oraz pierwotną i dualną postać modelu. Charakterystyki modeli niezorientowanych dokonano na przykładzie modeli addytywnych. Zaproponowano również inne kryteria podziału modeli DEA.

Suggested Citation

  • Anna Ćwiąkała-Małys & Violetta Nowak, 2009. "Classification of Data Envelopment Analysis models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 5-18.
    • Handle: RePEc:wut:journl:v:3:y:2009:p:5-18
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    References listed on IDEAS

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    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. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Kleine, A., 2004. "A general model framework for DEA," Omega, Elsevier, vol. 32(1), pages 17-23, February.
    7. 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.
    8. 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.
    9. 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 Science and Technology, Faculty of Management, vol. 25(4), pages 19-34.
    2. Dorota Kuchta, 2023. "Project implementation scenario selection for sustainable project and product lifecycle management. Application of network data envelopment analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(4), pages 133-154.

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