Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 3, May-June 2022
Page(s) 1947 - 1968
DOI https://doi.org/10.1051/ro/2021162
Published online 30 June 2022
  • R. Allen, A. Athanassopoulos, R.G. Dyson and E. Thanassoulis, Weights restrictions and value judgements in data envelopment analysis: evolution, development and future directions. Ann. Oper. Res. 73 (1997) 13–34. [CrossRef] [Google Scholar]
  • A. Amirteimoori and A. Emrouznejad, Flexible measures in production process: a DEA-based approach. RAIRO-Oper. Res. 45 (2011) 63–74. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • A. Amirteimoori, A. Emrouznejad and L. Khoshandam, Classifying flexible measures in data envelopment analysis: a slack-based measure. Measurement 46 (2013) 4100–4107. [CrossRef] [Google Scholar]
  • A. Athanassopoulos, Service quality and operating efficiency synergies for management control in the provision of financial services: evidence from Greek bank branches, Eur. J. Oper. Res. 98 (1997) 300–312. [CrossRef] [Google Scholar]
  • A. Athanassopoulos and S. Curram, A comparison of data envelopment analysis and artificial neural networks as tools for assessing the efficiency of decision-making units. J. Oper. Res. Soc. 47 (1996) 1000–1016. [CrossRef] [Google Scholar]
  • J.E. Beasley, Comparing university departments. Omega 18 (1990) 171–183. [CrossRef] [Google Scholar]
  • J.E. Beasley, Determining teaching and research efficiencies. J. Oper. Res. Soc. 46 (1995) 441–452. [CrossRef] [Google Scholar]
  • A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 428–444. [Google Scholar]
  • A. Charnes, W.W. Cooper, Q.L. Wei and Z.M. Huang, Cone-ratio data envelopment analysis and multi-objective programming. Int. J. Syst. Sci. 20 (1989) 1099–1118. [CrossRef] [Google Scholar]
  • A. Charnes, W.W. Cooper, Z.M. Huang and D.B. Sun, Polyhedral cone-ratio DEA models with illustrative application to large commercial banks. J. Econ. 46 (1990) 73–91. [CrossRef] [Google Scholar]
  • W.C. Chen, Revisiting dual-role factors in data envelopment analysis: derivation and implications. IIE Trans. 46 (2014) 653–663. [CrossRef] [MathSciNet] [Google Scholar]
  • W.D. Cook and J. Zhu, Classifying inputs and outputs in data envelopment analysis. Eur. J. Oper. Res. 180 (2007) 692–699. [Google Scholar]
  • W.D. Cook and J. Zhu, Context-dependent assurance regions in DEA. Oper. Res. 56 (2008) 69–78. [CrossRef] [Google Scholar]
  • W.D. Cook, R.H. Green and J. Zhu, Dual-role factors in data envelopment analysis. IIE Trans. 38 (2006) 105–115. [CrossRef] [Google Scholar]
  • W.W. Cooper, L.M. Seiford and K. Tone, Introduction to Data Envelopment Analysis and Its Uses With DEA-solver Software and References. Springer, New York, 2006. [Google Scholar]
  • R. Farzipoor Saen, Restricting weights in supplier selection decisions in the presence of dual-role factors. Appl. Math. Modell. 34 (2010) 2820–2830. [CrossRef] [Google Scholar]
  • M. Halme and P. Korhonen, Restricting weights in value efficiency analysis. Eur. J. Oper. Res. 126 (2000) 175–188. [CrossRef] [Google Scholar]
  • M.M. Mostafa, Modeling the efficiency of top Arab banks: a DEA-neural network approach. Expert Syst. App. 36 (2009) 309–320. [CrossRef] [Google Scholar]
  • M.J.S. Noveiri, S. Kordrostami and A. Amirteimoori, An alternative DEA approach for evaluating system efficiency in the presence of dual-role factors. Int. J. Ind. Eng. 26 (2019) 123–138. [Google Scholar]
  • F. Pedraja-Chaparro, J. Salinas-Jimenez and P. Smith, On the role of weight restrictions in data envelopment analysis. J. Prod. Anal. 8 (1997) 215–230. [CrossRef] [Google Scholar]
  • V.V. Podinovski, DEA models for the explicit maximisation of relative efficiency. Eur. J. Oper. Res. 131 (2001) 572–586. [CrossRef] [Google Scholar]
  • V.V. Podinovski, Validating absolute weight bounds in data envelopment analysis (DEA) models. J. Oper. Res. Soc. 52 (2001) 221–225. [CrossRef] [Google Scholar]
  • V.V. Podinovski, Production trade-offs and weight restrictions in data envelopment analysis. J. Oper. Res. Soc. 55 (2004) 1311–1322. [CrossRef] [Google Scholar]
  • V.V. Podinovski, Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA. Eur. J. Oper. Res. 154 (2004) 380–395. [CrossRef] [Google Scholar]
  • V.V. Podinovski, Optimal weights in DEA models with weight restrictions. Eur. J. Oper. Res. 254 (2016) 916–924. [CrossRef] [Google Scholar]
  • V.V. Podinovski and T. Bouzdine-Chameeva, Weight restrictions and free production in data envelopment analysis. Oper. Res. 61 (2013) 426–437. [CrossRef] [MathSciNet] [Google Scholar]
  • V.V. Podinovski and T. Bouzdine-Chameeva, Consistent weight restrictions in data envelopment analysis. Eur. J. Oper. Res. 244 (2015) 201–209. [CrossRef] [Google Scholar]
  • Y. Roll, W.D. Cook and B. Golany, Controlling factor weights in data envelopment analysis. IIE Trans. 23 (1991) 2–9. [CrossRef] [Google Scholar]
  • A. Salo and A. Punkka, Ranking intervals and dominance relations for ratio-based efficiency analysis. Manage. Sci. 57 (2011) 200–214. [Google Scholar]
  • R.E. Steuer, Multiple Criteria Optimization: Theory, Computation, and Application. Wiley, New York (1986). [Google Scholar]
  • Y. Su and W. Sun, Sustainability evaluation of the supply chain with undesired outputs and dual-role factors based on double frontier network DEA. Soft Comput. 22 (2018) 5525–5533. [CrossRef] [Google Scholar]
  • E. Thanassoulis and R. Allen, Simulating weights restrictions in data envelopment analysis by means of unobserved DMUs. Manage. Sci. 44 (1998) 586–594. [CrossRef] [Google Scholar]
  • M. Toloo, E. Keshavarz and A. Hatami-Marbini, Dual-role factors for imprecise data envelopment analysis. Omega 77 (2018) 15–31. [PubMed] [Google Scholar]
  • M. Toloo, B. Ebrahimi and G.R. Amin, New data envelopment analysis models for classifying flexible measures: the role of non-Archimedean epsilon. Eur. J. Oper. Res. 292 (2021) 1037–1050. [CrossRef] [Google Scholar]
  • M. Toloo, E. Keshavarz and A. Hatami-Marbini, An interval efficiency analysis with dual-role factors. OR Spect. 43 (2021) 255–287. [CrossRef] [Google Scholar]
  • Y.-H.B. Wong and J. Beasley, Restricting weight flexibility in DEA. J. Oper. Res. Soc. 41 (1990) 829–835. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.