Sammenlign metoder

	Super-Efficiency Data Envelopment Analysis	Netværk-Data Envelopment Analysis (Network DEA)
Fagområde	Effektivitetsanalyse	Effektivitetsanalyse
Familie	Regression model	Regression model
Oprindelsesår	1993	2000
Ophavsperson	Andersen & Petersen	Färe & Grosskopf
Type	Nonparametric linear programming model	Multi-stage nonparametric efficiency model
Oprindelig kilde	Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264.	Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49.
Aliasser	Andersen-Petersen Model, Super-Radial DEA, Ranking DEA, Süper Etkinlik VZA	Network Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
Relaterede	2	2
Resumé	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.