Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Tehnologia de Producție cu Subproduse DEA× | Analiza Envelopării Datelor (model CCR) pentru clasificare bazată pe eficiență× | |
|---|---|---|
| Domeniu | Luarea deciziilor | Luarea deciziilor |
| Familie | MCDM | MCDM |
| Anul apariției≠ | 2005 | 1978 |
| Autorul original≠ | Färe, Grosskopf, Noh et al. | Charnes, A., Cooper, W. W., Rhodes, E. |
| Tip≠ | Non-parametric efficiency with undesirable outputs and by-products | Non-parametric efficiency frontier (CCR model) |
| Sursa seminală≠ | Scheel, H. (2001). Undesirable outputs in efficiency valuations. European Journal of Operational Research, 132(2), 400-410. DOI ↗ | Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗ |
| Denumiri alternative≠ | By-Production DEA, Joint Production DEA | — |
| Înrudite≠ | 2 | 0 |
| Rezumat≠ | By-Production Technology DEA is a variant of Data Envelopment Analysis designed for production systems that generate both desirable outputs and undesirable by-products or emissions. Rather than ignoring or arbitrarily penalizing undesirable outputs, this method explicitly models them as joint products of the production process. It evaluates efficiency while accounting for the trade-off between desired production and environmental impact. | 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. |
| ScholarGateSet de date ↗ |
|
|