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.
Original language | English |
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Pages (from-to) | 42-46 |
Number of pages | 5 |
Journal | Journal of Air Transport Management |
Volume | 54 |
DOIs | |
Publication status | Published - Jul 1 2016 |
Keywords
- 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