Jahanshahloo, G. R.; Hosseinzadeh Lotfi, F.; Zhiani Rezai, H.; Rezai Balf, F. Using Monte Carlo method for ranking efficient DMUs. (English) Zbl 1162.90478 Appl. Math. Comput. 162, No. 1, 371-379 (2005). Summary: For ranking efficient DMUs \(^1\) some methods have been developed. These methods are not able to rank non-extreme efficient DMUs. In this paper, using Monte Carlo method, a method has been developed which is able to rank all (extreme and non-extreme) efficient DMUs. Cited in 1 ReviewCited in 9 Documents MSC: 90B50 Management decision making, including multiple objectives 90C06 Large-scale problems in mathematical programming Keywords:Data envelopment analysis; Ranking; Efficiency; Monte Carlo method PDFBibTeX XMLCite \textit{G. R. Jahanshahloo} et al., Appl. Math. Comput. 162, No. 1, 371--379 (2005; Zbl 1162.90478) Full Text: DOI References: [1] Adler, N.; Friedman, L.; Sinuany-Stern, Z., Review of ranking methods in data envelopment analysis context, European Journal of Operating Research, 140, 249-265 (2002) · Zbl 1001.90048 [2] Andersen, P.; Petersen, N. C., A procedure for ranking efficient units in data envelopment analysis, Management Science, 39, 1261-1264 (1993) · Zbl 0800.90096 [3] Charnes, A.; Cooper, W. W.; Rodes, E., Measuring the efficiency of decision making units, European Journal of Operating Research, 2, 6, 429-444 (1978) · Zbl 0416.90080 [4] Cooper, W. W.; Seiford, S.; Tone, K., A Comprehensive Text with Models, Applications, References and DEA-Solver Software (1999), Kluwer Acadenmic Publisher: Kluwer Acadenmic Publisher Norwell, MA · Zbl 0990.90500 [5] Mehrabian, S.; Alirezaee, M. R.; Jahanshahloo, G. R., A complete efficiency ranking of decision making units in data envelopment analysis, Computational Optimisation and Applications, 14, 261-266 (1999) · Zbl 0963.91021 [6] Rubinstein, R. Y., Simulation and Monte Carlo method (1981), John Wiley & Sons, Inc · Zbl 0529.68076 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.