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In fact, this poor discrimination power and unrealistic weight distribution presented by DEA and NDEA models remain a major challenge, leading to the development of models to improve this performance. Thus, this paper proposes a Multiple Criteria Network Data Envelopment Analysis (MCNDEA), based on relational NDEA models. The idea of this model is to be used in network structures. To test the MCNDEA model, one a real instance linked to an evaluation problem of academic departments of a public university was used. Other instances were also used to validate the proposed MCNDEA, and these tests are included in the supplementary files. Finally, it should be noted that, in summary, the model proposed in this article had greater discrimination power of the analyzed DMUs, being able to identify the most efficient departments in each of the considered stages, besides pointing out to the University Management points of improvement regarding the best use of its resources for each department.<\/jats:p>","DOI":"10.1007\/s12351-026-01041-4","type":"journal-article","created":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T05:32:14Z","timestamp":1774589534000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An approach multiple criteria network data envelopment analysis model"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2215-0734","authenticated-orcid":false,"given":"Aneirson Francisco","family":"da Silva","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"de Carvalho Miranda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando Augusto Silva","family":"Marins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erica Ximenes","family":"Dias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,27]]},"reference":[{"issue":"1","key":"1041_CR1","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1108\/JARHE-03-2021-0087","volume":"15","author":"TE Alam","year":"2023","unstructured":"Alam TE, Gonzalez AD, Raman S (2023) Benchmarking of academic departments using data envelopment analysis (DEA). 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