Compara mètodes

	Anàlisi d'Envolupant de Dades per Finestres	Anàlisi Envolupant de Dades de Xarxa (Network DEA)
Camp	Anàlisi d'eficiència	Anàlisi d'eficiència
Família	Regression model	Regression model
Any d'origen	1984	2000
Autor original	Charnes, Clark, Cooper & Golany	Färe & Grosskopf
Tipus	Non-parametric panel efficiency model	Multi-stage nonparametric efficiency model
Font seminal	Charnes, A., Clark, C. T., Cooper, W. W., & Golany, B. (1984). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. Air Forces. Annals of Operations Research, 2(1), 95–112.	Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49.
Àlies	Sliding-Window DEA, Temporal DEA, Rolling-Period DEA, Pencere VZA	Network Data Envelopment Analysis, Network Efficiency Analysis, Multi-Stage DEA, Ağ Veri Zarflama Analizi
Relacionats	2	2
Resum	Window Data Envelopment Analysis (Window DEA) is a non-parametric panel efficiency method that evaluates decision-making units (DMUs) over time by embedding each DMU's observations across a rolling temporal window into a single cross-sectional DEA problem. Introduced by Charnes, Clark, Cooper, and Golany in 1984, it enables longitudinal efficiency tracking without requiring a full panel, increasing discriminatory power by pooling observations across consecutive periods.	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.