手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 副産物技術DEA× | 効率に基づくランキングのためのデータ包絡分析（CCRモデル）× | |
|---|---|---|
| 分野 | 意思決定 | 意思決定 |
| 系統 | MCDM | MCDM |
| 提唱年≠ | 2005 | 1978 |
| 提唱者≠ | Färe, Grosskopf, Noh et al. | Charnes, A., Cooper, W. W., Rhodes, E. |
| 種類≠ | Non-parametric efficiency with undesirable outputs and by-products | Non-parametric efficiency frontier (CCR model) |
| 原典≠ | 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 ↗ |
| 別名≠ | By-Production DEA, Joint Production DEA | — |
| 関連≠ | 2 | 0 |
| 概要≠ | 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. |
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