• EVALUATING THE EFFICIENCY OF DMUS WITH STOCHASTIC DATA USING BON FERRONI INEQUALITY VIA CCR MODEL

Abstract

Data envelopment analysis (DEA) is non-parametric method for evaluating the efficiency of the decision making units (DMUs) using mathematical programming. The models which exist are just for evaluating the performance of DMUs with deterministic data. Now the main point which can take managers attraction is that how we could evaluate the efficiency of DMUs if data were stochastically? In this article we propose a method for evaluating the efficiency of DMUs with stochastic inputs and outputs via CCR model using chance constrained programming and changing it to deterministic equivalent model. Finally, a numerical example is presented to show the application of this method.