A complete ranking of DMUs with only undesirable outputs

Data envelopment analysis (DEA) is an efficiency estimation technique, but it can be used for solving many problems of management such as ranking of DMUs [١]. In conventional DEA methods, all outputs are assumed to be desirable but In real world problems, the inputs and outputs might be imprecise. The motivation of this study is to develop a new ranking model when all outputs are undesirable. Moreover, for better understanding of the proposed methodology, we present a numerical illustration followed by an application to the Work-related accidents (Social Security Organization) in Iran. The case study demonstrates that the proposed model can use to ranking.

Keywords:

Data envelopment analysis , ranking , undesirable outputs