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

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 the proposed approach.

Language

  • English

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Filing Info

  • Accession Number: 01601222
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 23 2016 9:49AM