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超効率データ包絡分析×ネットワークデータ包絡分析 (Network DEA)×
分野効率性分析効率性分析
系統Regression modelRegression model
提唱年19932000
提唱者Andersen & PetersenFäre & Grosskopf
種類Nonparametric linear programming modelMulti-stage nonparametric efficiency model
原典Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264. DOI ↗Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49. DOI ↗
別名Andersen-Petersen Model, Super-Radial DEA, Ranking DEA, Süper Etkinlik VZANetwork Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
関連22
概要Super-Efficiency DEA is a nonparametric linear programming extension of classical Data Envelopment Analysis (DEA) introduced by Andersen and Petersen (1993). While standard DEA assigns a maximum efficiency score of 1.0 to all units on the efficient frontier, Super-Efficiency DEA allows efficient units to receive scores greater than 1.0 by temporarily removing the evaluated unit from the reference set. This modification enables full ranking of all decision-making units (DMUs), including those previously indistinguishable at the frontier.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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ScholarGate手法を比較: Super-Efficiency DEA · Network DEA. 2026-06-17に以下より取得 https://scholargate.app/ja/compare