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

Mohammad Tavassoli, Taliva Badizadeh, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)42-46
Number of pages5
JournalJournal of Air Transport Management
Publication statusPublished - Jul 1 2016


  • Airlines
  • Data envelopment analysis
  • Discriminant analysis
  • Range-adjusted measure
  • Ranking
  • Strong complementary slackness condition

ASJC Scopus subject areas

  • Transportation
  • Strategy and Management
  • Management, Monitoring, Policy and Law
  • Law

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