دانلود رایگان مقاله شرایط سخت افزاری عملکرد شرکت هواپیمایی با اندازه گیری محدوده

abstract

This study integrates RAM (range-adjusted measure), SCSC (strong complementary slackness condition), and DEAeDA (data envelopment analysisediscriminant 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 RAMeDEA/SCSC along with DA. A case study demonstrates the applicability of our proposed approach.

5. Conclusions

Due to the significance of the transportation industry in every economy, the performance evaluation of transportation systems has become an integral part of their management. Performance measurement of airlines is mostly based on the application of conventional DEA models. However, the conventional use of DEA models may yield zero in many multipliers. This implies that these models do not use all inputs and outputs and thus produce many efficient DMUs. To overcome this limitation, this paper proposed a novel application of RAM/SCSC along with DEAeDA. The proposed model, in this study, was applied to evaluate the performance of seven airlines. Three inputs and two outputs were selected. We used RAM/SCSC to evaluate the performance of DMUs and to separate them into two efficient and inefficient groups. To rank DMUs, this study applied DEAeDA. The results indicated that Naft Iran has the maximum efficiency score and is selected as the best DMU with an efficiency score of 1 in all periods. Further, Iran Air Tour was the most inefficient DMU. To improve the performance of airlines, the sources of poor performance were identified.