Skip to main content
Log in

The linear formulation of the ZSG-DEA models with different production technologies

  • General Paper
  • Published:
Journal of the Operational Research Society

Abstract

The zero sum gains data envelopment analysis models (ZSG-DEA models) are non-linear. In this paper, we first show that the ZSG-DEA models can be transformed to linear or parametric linear models and discuss the feasible domains of the parameters. Second, we show that the linear formulations of ZSG-DEA models under the equal output reduction strategy and the proportional output reduction strategy in a single output case are equivalent to the output-oriented super-efficiency model under variable returns-to-scale (VRS) assumption. As a matter of course, the models may encounter infeasibility. Third, we propose the linear transformations of ZSG-DEA models under constant returns-to-scale (CRS) assumption and compare them with the VRS models. In the end, we evaluate the participant countries at the Olympic Games by the linear equivalent models with multiple outputs under different weight restrictions. Our results are compared with the efficiencies obtained from the original ZSG-DEA model with an aggregated output under both CRS and VRS assumptions. It is found that the original method with aggregated output tends to underestimate the efficiencies of DMUs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. In this paper, we call two optimization problems equivalent if from a solution of one, a solution of the other is readily found, and vice versa. Models (4) and (5) are equivalent because the feasible sets of the two are identical. A point is optimal for one, if and only if it is optimal for the other.

References

  • Andersen P and Petersen NC (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science 39 (2): 1261–1264.

    Article  Google Scholar 

  • Banker RD, Charnes A and Cooper WW (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30 (9): 1078–1092.

    Article  Google Scholar 

  • Charnes A, Cooper WW and Rhodes E (1978). Measuring the efficiency of decision making units. European Journal of Operational Research 2 (6): 429–444.

    Article  Google Scholar 

  • Cook WD, Liang L, Zha Y and Zhu J (2009). A modified super-efficiency DEA model for infeasibility. Journal of the Operational Research Society 60 (2): 276–281.

    Article  Google Scholar 

  • Estellita Lins MP and Silva ACM (2001). Evitando a inviabilidade em modelos DEA com restrições aos pesos. Technical Report EP03/01-PO, Production Engineering Program–UFRJ, Rio de Janeiro, Brazil.

  • Estellita Lins MP, Gomes EG, Soares de Mello JCCB and Soares de Mello AJR (2003). Olympic ranking based on a zero sum gains DEA model. European Journal of Operational Research 148 (2): 312–322.

    Article  Google Scholar 

  • Gomes EG (2003). Modelos de Análise de Envoltória de Dados com Ganhos de Soma zero. Tese (Doutorado em Engenharia de Produção)-COPPE, Universidade Federal do Rio de Janeiro. Rio de Janeiro.

  • Gomes EG and Estellita Lins MP (2008). Modelling undesirable outputs with zero sum gains data envelopment analysis models. Journal of the Operational Research Society 59 (5): 616–623.

    Article  Google Scholar 

  • Gomes EG, Soares de Mello JCCB and Estellita Lins MP (2005). Uniformização da fronteira eficiente em modelos de análise de envoltória de dados com ganhos de soma zero e retornos constantes de escala. Pesquisa Operacional 25 (2): 261–277.

    Article  Google Scholar 

  • Guedes ECC, Milioni AZ, Avellar JVG and Silva RC (2012). Adjusted spherical frontier model: Allocating input via parametric DEA. Journal of the Operational Research Society 63 (3): 406–417.

    Article  Google Scholar 

  • Lovell CAK and Rouse APB (2003). Equivalent standard DEA models to provide super-efficiency scores. Journal of the Operational Research Society 54 (1): 101–108.

    Article  Google Scholar 

  • Milioni AZ, Avellar JVG, Gomes EG and Soares de Mello JCCB (2011a). An ellipsoidal frontier model: Allocating input via parametric DEA. European Journal of Operational Research 209 (2): 113–121.

    Article  Google Scholar 

  • Milioni AZ, Avellar JVG, Rabello TN and Freitas GM (2011b). Hyperbolic frontier model: A parametric DEA approach for the distribution of a total fixed output. Journal of the Operational Research Society 62 (6): 1029–1037.

    Article  Google Scholar 

  • Seiford LM and Zhu J (1998). An acceptance system decision rule with data envelopment analysis. Computers & Operations Research 25 (4): 329–332.

    Article  Google Scholar 

  • Silva RC and Milioni AZ (2012). The adjusted spherical frontier model with weight restrictions. European Journal of Operational Research 220 (3): 729–735.

    Article  Google Scholar 

  • Yang F, Wu DS, Liang L and O'Neill L (2011). Competition strategy and efficiency evaluation for decision making units with fixed-sum outputs. European Journal of Operational Research 212 (3): 560–569.

    Article  Google Scholar 

  • Zhu J (1996). Robustness of the efficient DMUs in data envelopment analysis. European Journal of Operational Research 90 (3): 451–460.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are grateful for the comments and suggestions by two anonymous reviewers. This research work is supported by grants from the National Natural Science Funds of China (No. 71171181), National Natural Science Funds of China for Innovative Research Groups (No. 71121061), China Postdoctoral Science Foundation (No. 2012M521259) and the Fundamental Research Funds for the Central Universities.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingjing Ding.

Appendix

Appendix

See Table A1.

Table A1 The efficiencies of 85 participant countries at the Olympic Games

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bi, G., Feng, C., Ding, J. et al. The linear formulation of the ZSG-DEA models with different production technologies. J Oper Res Soc 65, 1202–1211 (2014). https://doi.org/10.1057/jors.2013.69

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/jors.2013.69

Keywords

Navigation