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Home›Decision-making›Data Envelopment Analysis (CCR model) for efficiency-based ranking
MCDMDEAcrisp

Data Envelopment Analysis (CCR model) for efficiency-based ranking

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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DEA
By-Production Technology…Data Envelopment Analysi…DEA-SUPEREFFEpsilon-Based Measure DEAStochastic Frontier Model

When to use it

DEA — Data Envelopment Analysis (CCR model) for efficiency-based ranking

Strengths & limitations

Strengths
  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
  • Assumes full compensation — a strong score on one criterion can offset a weak score on another.

Sources

  1. Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI: 10.1016/0377-2217(78)90138-8 ↗

How to cite this page

ScholarGate. (2026, June 2). Data Envelopment Analysis (CCR model) for efficiency-based ranking. ScholarGate. https://scholargate.app/en/decision-making/dea

Referenced by

By-Production Technology DEAData Envelopment Analysis (Productivity)DEA-SUPEREFFEpsilon-Based Measure DEAStochastic Frontier Model

Similar methods

DEA-BCCDEA-SUPEREFFDEA-CROSSEFFDEA-SBMDEA-RAMGOAL-PROGRAMMINGData Envelopment Analysis (Productivity)DEA-ENV

Related reference concepts

Decision Support SystemsDecision MakingPrincipal Component AnalysisCost-Effectiveness AnalysisCanonical Correlation AnalysisPolicy Analysis

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — DEA (Data Envelopment Analysis (CCR model) for efficiency-based ranking). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/dea · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Charnes, A., Cooper, W. W., Rhodes, E.
Subfamily
DEA
Year
1978
Type
Non-parametric efficiency frontier (CCR model)
Value Space
crisp
Uncertainty
None
Compensation
full
Rank Reversal
No
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