Ranking decision making units by compromise programming

Data envelopment analysis (DEA) is a very useful management and decision tool. The ranking of decision making units (DMU) has become an important component in the decision process. In this paper we developed a new method for measuring the efficiency score of Decision-Making Units (DMUs) by using compromise programming. The proposed method calculates distance to the ideal for each DMU. The DMU with shorter distance to the ideal has better efficiency. A numerical example is provided to illustrate the application of the proposed DEA model.