The Comparison of Kam and Additive Model on The Problems That Target Intervals are Already Determined

Abstract

After running Data Envelopment Analysis (DEA) on models, efficiency scores were determined. In addition, DEA models give us target scores too. However; sometimes the target scores are not in the intervals which are determined before, so obtained results will not be realistic. If desired constraints add in DEA normal models, ideal results cannot be obtained. For solving the problem, Kourosh and Arash Method (KAM) has been utilized. For creation of new model, the properties of KAM have been considered. In order to reach the thesis goal, suggested constraints were added to KAM mathematically and behavior of the other input and output changes are examined. For the analysis of large scale problems KAM model was developed in EXCEL Solver software. Results are compared with additive model and shows that KAM model gives better results.