Remodelling of the Inverse DEA Model: A Prediction Tool for Not-for-profit Organizations∗
نویسندگان
چکیده
A resource allocation model (RAM) for not-for-profit organization in the framework of Data Envelopment Analysis (DEA) was introduced by Zhang and Cui ([1]). The model is an inverse formulation to the DEA model , as pointed in paper [2], and can be transformed into a parametric linear programming problem. Also a multi-objective programming problem was introduced in [2] to solve RAM when the efficiency index of the discussed organization is strictly less than one. In this paper, inadequacy of the original RAM model is discussed and then a revised new model is presented. The new model can be transformed into a multi-objective programming problem or a linear programming problem for any efficiency index value an organization has.
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