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Performance assessment of airlines using range-adjusted measure, strong complementary slackness condition, and discriminant analysis

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  • Tavassoli, Mohammad
  • Badizadeh, Taliva
  • Farzipoor Saen, Reza

Abstract

This study integrates RAM (range-adjusted measure), SCSC (strong complementary slackness condition), and DEA–DA (data envelopment analysis–discriminant analysis) to rank airlines. As conventional DEA models do not fully use all inputs and outputs, they result zero in many multipliers. These sorts of DEA models may yield many efficient decision-making units (DMUs). This decreases the discrimination power of DEA. To overcome this limitation, this study proposes a novel application of RAM–DEA/SCSC along with DA. A case study demonstrates the applicability of our proposed approach.

Suggested Citation

  • Tavassoli, Mohammad & Badizadeh, Taliva & Farzipoor Saen, Reza, 2016. "Performance assessment of airlines using range-adjusted measure, strong complementary slackness condition, and discriminant analysis," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 42-46.
    • Handle: RePEc:eee:jaitra:v:54:y:2016:i:c:p:42-46
    DOI: 10.1016/j.jairtraman.2016.02.014
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    References listed on IDEAS

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    8. Reza Farzipoor Saen, 2013. "Using cluster analysis and DEA-discriminant analysis to predict group membership of new customers," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 6(3), pages 348-360.
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    Cited by:

    1. Chen Chunhua & Liu Haohua & Tang Lijun & Ren Jianwei, 2021. "A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs," Journal of Systems Science and Information, De Gruyter, vol. 9(4), pages 378-398, August.

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