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Year 2019, Volume: 9 Issue: 3, 512 - 524, 01.09.2019

Abstract

References

  • Charnes, A., Cooper, W. W. and Rhodes, E., (1978), Measuring the efficiency of decision making units, Eur. J. Oper. Res., 2 (6), pp. 429444.
  • Chen, Y., Cook, W. D., Li, N. and Zhu, J., (2009), Additive efficiency decomposition in two-stage DEA. Eur. J. Oper. Res., 196(3), pp. 11701176.
  • Despotis, D. K., Koronakos, G. and Sotiros, D. (2015), A Multi-objective Programming Approach to Network DEA with an Application to the Assessment of the Academic Research Activity. Procedia Comput. Sci., 55, 370379.
  • Despotis, D.K., Koronakos, G. and Sotiros, D. (2016), Composition versus decomposition in two-stage network DEA: a reverse approach. J. Prod. Anal., 45(1), pp. 71-87.
  • Despotis, D.K., Sotiros, D. and Koronakos, G. (2016), A network DEA approach for series multistage processes, Omega, 61, 35-48.
  • Fre, R. (1991), Measuring Farrell Efficiency for a Firm with Intermediate Inputs. Academe. Econ. Pap., 19, 329340.
  • Farrell, M. J. (1957), The Measurement of Productive Efficiency. J. R. Stat. Soc. Ser. A-G, 120(3), pp. 253.
  • Guo, C., Shureshjani, R.A., Foroughi, A.A. and Zhu, J. (2017), Decomposition weights and overall efficiency in two-stage additive network DEA. Eur. J. Oper. Res., 257, 896-906.
  • Kao, C. (2014), Efficiency decomposition for general multi-stage systems in data envelopment analysis. Eur. J. Oper. Res., 232(1), pp. 117124.
  • Kao, C. and Hwang, S.-N. (2008), Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. Eur. J. Oper. Res., 185(1), pp. 418429.
  • Kao, H.Y., Chan, C.Y. and Wu, D.-J. (2014), A multi-objective programming method for solving network DEA. Appl. Soft Comput., 24, 406413.
  • Li, Y., Chen, Y., Liang, L. and Xie, J. (2012), DEA models for extended two-stage network structures. Omega, 40(5), pp. 611618.
  • Liang, L., Cook, W. D. and Zhu, J. (2008), DEA models for two-stage processes: game approach and efficiency decomposition. Nav. Res. Log., 55, 64353.
  • Liu, F. H. F. and Hsuan Peng, H. (2008).Ranking of units on the DEA frontier with common weights. Comput. Oper. Res., 35(5), pp. pp. 16241637.
  • Seiford, L. M. and Zhu, J. (1998), On alternative optimal solutions in the estimation of returns to scale in DEA. Eur. J. Oper. Res., 108(1), pp. pp. 149152.
  • Wang, C. H., Gopal, R. D. and Zionts, S. (1997), Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance. Ann. Oper. Res., 73(0), pp. pp. 191213.
  • Yu, Y. and Shi, Q. (2014), Two-stage DEA model with additional input in the second stage and part of intermediate products as final output. Expert Syst. Appl., 41(15), pp. pp. 65706574.

COOPERATIVE TWO-STAGE NETWORK DEA: A GOAL PROGRAMMING APPROACH

Year 2019, Volume: 9 Issue: 3, 512 - 524, 01.09.2019

Abstract

In this study, we present a two-stage data envelopment analysis method dealing with eciency evaluation of decision making units with network structure. The key point of the study is that the suggested model optimizes the Black-Box and stages eciencies simultaneously with the aim of achieving the smallest possible gap between the aspiration levels.

References

  • Charnes, A., Cooper, W. W. and Rhodes, E., (1978), Measuring the efficiency of decision making units, Eur. J. Oper. Res., 2 (6), pp. 429444.
  • Chen, Y., Cook, W. D., Li, N. and Zhu, J., (2009), Additive efficiency decomposition in two-stage DEA. Eur. J. Oper. Res., 196(3), pp. 11701176.
  • Despotis, D. K., Koronakos, G. and Sotiros, D. (2015), A Multi-objective Programming Approach to Network DEA with an Application to the Assessment of the Academic Research Activity. Procedia Comput. Sci., 55, 370379.
  • Despotis, D.K., Koronakos, G. and Sotiros, D. (2016), Composition versus decomposition in two-stage network DEA: a reverse approach. J. Prod. Anal., 45(1), pp. 71-87.
  • Despotis, D.K., Sotiros, D. and Koronakos, G. (2016), A network DEA approach for series multistage processes, Omega, 61, 35-48.
  • Fre, R. (1991), Measuring Farrell Efficiency for a Firm with Intermediate Inputs. Academe. Econ. Pap., 19, 329340.
  • Farrell, M. J. (1957), The Measurement of Productive Efficiency. J. R. Stat. Soc. Ser. A-G, 120(3), pp. 253.
  • Guo, C., Shureshjani, R.A., Foroughi, A.A. and Zhu, J. (2017), Decomposition weights and overall efficiency in two-stage additive network DEA. Eur. J. Oper. Res., 257, 896-906.
  • Kao, C. (2014), Efficiency decomposition for general multi-stage systems in data envelopment analysis. Eur. J. Oper. Res., 232(1), pp. 117124.
  • Kao, C. and Hwang, S.-N. (2008), Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. Eur. J. Oper. Res., 185(1), pp. 418429.
  • Kao, H.Y., Chan, C.Y. and Wu, D.-J. (2014), A multi-objective programming method for solving network DEA. Appl. Soft Comput., 24, 406413.
  • Li, Y., Chen, Y., Liang, L. and Xie, J. (2012), DEA models for extended two-stage network structures. Omega, 40(5), pp. 611618.
  • Liang, L., Cook, W. D. and Zhu, J. (2008), DEA models for two-stage processes: game approach and efficiency decomposition. Nav. Res. Log., 55, 64353.
  • Liu, F. H. F. and Hsuan Peng, H. (2008).Ranking of units on the DEA frontier with common weights. Comput. Oper. Res., 35(5), pp. pp. 16241637.
  • Seiford, L. M. and Zhu, J. (1998), On alternative optimal solutions in the estimation of returns to scale in DEA. Eur. J. Oper. Res., 108(1), pp. pp. 149152.
  • Wang, C. H., Gopal, R. D. and Zionts, S. (1997), Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance. Ann. Oper. Res., 73(0), pp. pp. 191213.
  • Yu, Y. and Shi, Q. (2014), Two-stage DEA model with additional input in the second stage and part of intermediate products as final output. Expert Syst. Appl., 41(15), pp. pp. 65706574.
There are 17 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

P. Zahiri This is me

M. Mirbolouki This is me

Publication Date September 1, 2019
Published in Issue Year 2019 Volume: 9 Issue: 3

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