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Análise Envoltória de Dados (modelo CCR) para ranqueamento baseado em eficiência×Análise Envoltória de Dados em Rede (Network DEA)×
ÁreaTomada de decisãoAnálise de eficiência
FamíliaMCDMRegression model
Ano de origem19782000
Autor originalCharnes, A., Cooper, W. W., Rhodes, E.Färe & Grosskopf
TipoNon-parametric efficiency frontier (CCR model)Multi-stage nonparametric efficiency model
Fonte seminalCharnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49. DOI ↗
Outros nomesNetwork Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
Relacionados02
ResumoDEA (Data Envelopment Analysis (CCR model) for efficiency-based ranking) is a dea multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W., Rhodes, E. in 1978. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.Network Data Envelopment Analysis (Network DEA) is a nonparametric efficiency measurement framework introduced by Färe and Grosskopf (2000) that extends classical DEA to multi-stage or multi-division production processes. Rather than treating a decision-making unit as a black box, it explicitly models the internal structure — the divisions and the intermediate products that flow between them — enabling stage-level and overall efficiency scores to be estimated simultaneously within a single coherent model.
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ScholarGateComparar métodos: DEA · Network DEA. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare