NETWORK NEW MULTIPLE CRITERIA DATA ENVELOPMENT ANALYSIS MODEL: AN APPLICATION ON EDUCATIONAL CASE

DEA seeks to optimize efficiency analysis processes and to identify which Decision Making Units - DMUs are efficient. When the number of DMUs does not meet the Golden Rule, traditional DEA models presents poor discrimination power and unrealistic weight distribution. Problems that used the Network DEA model do not consider the Golden Rule in their applications, generating an efficiency analysis with low discrimination power among DMUs. This paper proposes a new Network DEA model, called Network New Multiple Criteria Data Envelopment Analysis - NNMCDEA, based on relational NDEA models. To test the NNMCDEA model a real instance linked to an evaluation problem of academic departments of a public university was used. The results indicated that the new NNMCDEA model provides better discrimination of DMUs compared to the relational NDEA model used and, statistical testing in conjunction with university expert participation validated the logical structure of the NNMCDEA model.