Esmaeil Najafi - Assistant Professor, Department of industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran
Amir Fatehi Kivi - Ph. D. Candidate, Department of industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran
Arvin Azizian - Ph. D. Candidate, Department of industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran

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.

Data envelopment analysis, ranking, undesirable outputs