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| Dateneffizienzanalyse (CCR-Modell) für effizienzbasierte Rangfolge× | Netzwerk Data Envelopment Analysis (Network DEA)× | |
|---|---|---|
| Fachgebiet≠ | Entscheidungsfindung | Effizienzanalyse |
| Familie≠ | MCDM | Regression model |
| Entstehungsjahr≠ | 1978 | 2000 |
| Urheber≠ | Charnes, A., Cooper, W. W., Rhodes, E. | Färe & Grosskopf |
| Typ≠ | Non-parametric efficiency frontier (CCR model) | Multi-stage nonparametric efficiency model |
| Wegweisende Quelle≠ | Charnes, 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 ↗ |
| Aliasnamen≠ | — | Network Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi |
| Verwandt≠ | 0 | 2 |
| Zusammenfassung≠ | DEA (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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