A multiobjective data envelopment analysis model applied to the evaluation of Brazilian electrical distributors

This paper presents a methodology for evaluating efficiencies, using Multicriteria Data Envelopment Analysis (MCDEA) in previously established clusters, in order to guarantee homogeneous groups of analysis. Since some clusters formed have a small number of production units (DMUs — Decision Making Units), the MCDEA model was used to improve the discriminatory power of the method and to avoid that several DMUs are considered efficient, as well as to generate a better distribution of the weights of the inputs and outputs. Since multiobjective models can generate more than one solution, the MCDEA-TRIMAP Index will be used to unify the values for each DMU. In this paper, the Brazilian electricity sector will be used to apply the methodology and will be considered an input (operational cost) and two outputs (number of consumers and amount of energy consumed).