presenting a new model for bank’s supply chain performance evaluating with dea solution approach

data envelopment analysis (dea) is a method for measuring the efficiency of peer decision making units (dmus) with multiple inputs and outputs. the traditional dea treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. this carries the notion of missing some intermediate measures in the process of changing the inputs to outputs of dmu and as a result the effect of these measures in the process of performance evaluation is not considered. recently, some models are created in dea which can evaluate the system in multi stages and consider the relations between the systems. the objective of this paper is to investigate efficiency decomposition in a three-stage process that has a two independent parallel stages linking with a one final stage. this three stage processes calculate the efficiency of organization with considering intermediate constraints. finally, we illustrate the proposed method with numerical example