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Data Envelopment Analysis (Productivity)×ניתוח כיסוי נתונים (מודל CCR) לדירוג מבוסס יעילות×
תחוםכלכלהקבלת החלטות
משפחהProcess / pipelineMCDM
שנת המקור19781978
הוגה השיטהCharnes, Cooper & Rhodes (building on Farrell 1957)Charnes, A., Cooper, W. W., Rhodes, E.
סוגNonparametric linear-programming efficiency frontierNon-parametric efficiency frontier (CCR model)
מקור מכונןCharnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. DOI ↗Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗
כינוייםDEA Efficiency Analysis, Nonparametric Frontier Efficiency, CCR/BCC Efficiency Measurement, Production Frontier DEA
קשורות50
תקצירData 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.
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ScholarGateהשוואת שיטות: Data Envelopment Analysis (Productivity) · DEA. אוחזר בתאריך 2026-06-24 מתוך https://scholargate.app/he/compare