مقاله سال ۲۰۱۶

This paper proposes a novel data envelopment analysis (DEA) model for evaluating the performance of Iran’s airlines. Our proposed model not only ranks all Iranian airlines but also fully uses all inputs and outputs. To prevent alternative solutions, Sueyoshi and Sekitani (2007) integrated DEA and strong complementary slackness condition (SCSC) and proposed the DEA/SCSC model. Nonetheless, the DEA/SCSC model does not guarantee that the ties among efficient decision-making units (DMUs) are broken. To rank efficient DMUs, Sueyoshi and Sekitani (2007) used DEAediscriminant analysis (DEAeDA). Barros and Wanke (2015) used the technique for order of preference by similarity to ideal solution (TOPSIS) to assess the relative efficiency of African airlines. Merkert and Pearson (2015) developed a new approach for measuring the impact of an airline’s customer service on profit. To calculate the efficiency scores of airlines (DMUs), this paper integrates one of the DEA models called range-adjusted measure (RAM) and SCSC. To rank DMUs, DEAeDA is applied.