Named after its developer Chames, Cooper and Rhodes, this is the first and fundamental DEA model, built on the notion of efficiency as defined in the classical engineering ratio. The CCR ratio model calculates an overall efficiency for the unit in which both its pure technical efficiency and scale efficiency are aggregated into a single value. The obtained efficiency is never absolute as it is always measured relative to the field. The Chames et al (1978) article marked the birth of DEA, and despite the numerous modified models that have appeared, the CCR model is still the most widely known and used of DEA models.
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FAQ
- What is Data Envelopment Analysis?
- BCC
- Categorical variable
- CCR (ratio) mode
- Composite unit
- Constant returns to scale
- Convex cone - Conical hull
- Convex hull
- Convexity constraint
- Cross efficiency matrix
- DEA algorithm
- DEA results are biased
- Decreasing returns to scale
- Discretionary factor
- Discriminatory power
- DMU (Decision making unit)
- Dual Model
- Dual weights - dual multipliers
- Efficiency score
- Efficiency/Productive efficiency
- Envelopment form
- Environmental factor
- Epsilon
- Exogeneously fixed factor
- Facet
- Homogeneity
- Increasing returns to scale
- Input
- Input-oriented
- Input/output mix
- Isotonicity
- Most productive scale size (MPSS)
- Multiplier form
- Non-naturally enveloped unit
- Nondiscretionary factor
- Ordinal variable
- Outlier
- Output
- Output-oriented
- Overall efficiency
- Pareto-efficiency/Pareto-Koopmans efficiency:
- Peer group
- Piecewise linearity
- Primal (CCR) model
- Production function
- Productivity
- Projected point
- Radial measure
- Ratio models
- Reference set
- Reference unit
- Scale efficiency
- Scale of operations
- Slacks
- Targets
- Technical efficiency
- Technology/Production technology
- Unit
- Unit isoquant/Isoquant
- Units invariance
- Variable
- Variable returns to scale
- Virtual input(output)
- Virtual multipliers
- Visualisation
- Weight Flexibility
- Weights
- Well-rounded performance
- Window analysis