In this paper, a Multiple Criteria Envelopment Analysis (MCDEA) model which can be used to improve discriminating power of DEA methods and also effectively yield more reasonable input and output weights without a priori information about the weights is presented. In the proposed model, several different measures, including classical DEA efficiency, are defined under the same constraints. Each measure serves as a criterion to be optimized. Efficiencies are then evaluated under the framework of multiple objective linear programming (MOLP). So, this paper uses MCDEA to assess technical efficiency of Airlines agencies. Most airline agencies compare their efficiency according to the results of their outputs. This approach does not provide a good understanding of their overall performance. In this paper, we apply MCDEA to analyze the technical efficiency and performance of each individual airline agency.