Σύγκριση μεθόδων

	Data Envelopment Analysis (Productivity)	Ανάλυση Δέσμευσης Δεδομένων (μοντέλο CCR) για κατάταξη βάσει αποδοτικότητας
Πεδίο	Οικονομικά	Λήψη Αποφάσεων
Οικογένεια	Process / pipeline	MCDM
Έτος προέλευσης	1978	1978
Δημιουργός	Charnes, Cooper & Rhodes (building on Farrell 1957)	Charnes, A., Cooper, W. W., Rhodes, E.
Τύπος	Nonparametric linear-programming efficiency frontier	Non-parametric efficiency frontier (CCR model)
Θεμελιώδης πηγή	Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.	Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research
Εναλλακτικές ονομασίες	DEA Efficiency Analysis, Nonparametric Frontier Efficiency, CCR/BCC Efficiency Measurement, Production Frontier DEA	—
Συναφείς	5	0
Σύνοψη	Data envelopment analysis (DEA) is a nonparametric, linear-programming technique for measuring the relative productive efficiency of comparable units — firms, plants, hospitals, schools, bank branches — that convert multiple inputs into multiple outputs. Introduced by Charnes, Cooper, and Rhodes in 1978 and rooted in Farrell's 1957 work on efficiency measurement, it constructs a best-practice frontier that envelops the observed data and scores each unit by its distance to that frontier, requiring no assumed functional form for the production technology.	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.