قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تقنية الإنتاج الثانوي (DEA)× | تحليل تغطية البيانات (نموذج CCR) للترتيب القائم على الكفاءة× | |
|---|---|---|
| المجال | اتخاذ القرار | اتخاذ القرار |
| العائلة | MCDM | MCDM |
| سنة النشأة≠ | 2005 | 1978 |
| صاحب الطريقة≠ | Färe, Grosskopf, Noh et al. | Charnes, A., Cooper, W. W., Rhodes, E. |
| النوع≠ | Non-parametric efficiency with undesirable outputs and by-products | Non-parametric efficiency frontier (CCR model) |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة≠ | By-Production DEA, Joint Production DEA | — |
| ذات صلة≠ | 2 | 0 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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