Subject Areas : International Journal of Data Envelopment Analysis

Javad Gerami ¹ , Javad Vakili ²

1 - Department of Mathematics, Shiraz branch, Islamic Azad University, Shiraz, Iran
2 - Department of Applied Mathematics, School of Mathematics Science, University of Tabriz, Tabriz, Iran.

Received: 2024-06-10 Accepted : 2024-07-29 Published : 2024-10-01

Keywords:

References:

[1] Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision-making units. European journal of operational research. 1978 Nov 1; 2(6): 429-44.

[2] Banker RD, Charnes A, Cooper WW. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science. 1984 Sep; 30(9): 1078-92.

[3] Charnes A, Cooper WW, Golany B, Seiford L, Stutz J. Foundations of data envelopment analysis for Pareto–Koopmans efficient empirical production functions', Journal of Econometrics. 1985 30: 91–107.

[4] Sexton TR, Silkman RH, Hogan AJ. Data envelopment analysis: critique and extensions. In: Silkman, R.H. (ed.) Measuring efficiency: an assessment of data envelopment analysis. 1986 73-105.

[5] Andersen P, Petersen NC. A procedure for ranking efficient units in data envelopment analysis. Management science. 1993 Oct; 39(10): 1261-4.

[6] Mehrabian S, Alirezaee MR, Jahanshahloo, GR, A complete efficiency ranking of decision making units in data envelopment analysis. Computational Optimization and Applications, 1999 14: 261-266.

[7] Saati MS, Zarafat Angiz M, Jahanshahloo GR. A model for ranking decision making units in data envelopment analysis. Ricerca Operativa. 2001 31(97): 4759.

[8] Sinuany-stern Z, Mehrez A, Hadad Y. An AHP/DEA methodology for ranking decision making units, International Transactions in Operation Research. 20007 109-124.

[9] Jahanshahloo GR, junior HV, Lotfi FH, Akbarian D. A new DEA ranking system based on changing refrence set, European Journal of Operational Research. 2007 181: 331-337.

[10] Jahanshahloo GR, Hosseinzadeh Lotfi F, Shoja N, Tohidi G, Razavian S. Ranking using norm in data envelopment analysis. Applied mathematics and computational. 2004 153 (1): 215-224.

[11] Cooper WW, Li S, Seiford LM, Tone T. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, Reverences and DEA solver Software, Kluwer Academic Publisher, Norwell, Mass. 1999.
[12]Rajiv Banker D. Estimating most productive scale size using data envelopment analysis. European Journal of Operational Research. 1984 17: 35-44.

[13] Juan Du, Liang Liang, Joe Zhu, A slacks-based measure of super-efficiency in data envelopment analysis: A comment. European Journal of Operational Research, 2010 204: 694–697.
[14] Gerami J, Mozaffari MR, Wanke PF. A multi-criteria ratio-based approach for two-stage data envelopment analysis. Expert Systems with Applications. 2020 158: 113508.
[15] Gerami J, Kiani Mavi R, Farzipoor Saen R, Kiani Mavi N. A novel network DEA-R model for evaluating hospital services supply chain performance. Annals of Operations Research. 2020, 324, 1–2: 1041–1066.
[16] Gerami J. An interactive procedure to improve estimate of value efficiency in DEA. Expert Systems with Applications. 15 December 2019, 137 29-45.
[17] Gerami J, Mozaffari MR, Wanke PF, Correa H. A novel slacks-based model for efficiency and super-efficiency in DEA-R. Operations Research. 2021 22, 4: 3373–3410.
[18] Gerami J. Strategic alliances and partnerships based on the semi-additive production technology in DEA. Expert Systems with Applications1 October 2024 251: 123986.