Alternative Mixed Integer Programming for Finding Effi cient BCC Unit

Data Envelopment Analysis (DEA) cannot provide adequate discrimination among effi cient decision making units (DMUs). To discriminate these e fficient DMUs is an interesting research subject. The purpose of this paper is to develop the mix integer linear model which was proposed by Foroughi (Foroughi A.A. A new mixed integer linear model for selecting the best decision making units in data envelopment analysis. Computers Industrial Engineering 60 (2011) 550-554) to present new alternative mix integer programming DEA (MIP-DEA) models which can be used to improve discrimination power of DEA and select the most BCC-effi cient decision making unit (DMU). We will demonstrate that proposed model is able to select DMU throughout the real data sets.