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Home›Decision-making›Slack-Based Measure Data Envelopment Analysis
MCDMRankingcrisp

Slack-Based Measure Data Envelopment Analysis

DEA-SBM (Slack-Based Measure Data Envelopment Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Tone, K. in 2001. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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  3. 1 Sources
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When to use it

SBM is preferred over CCR/BCC when slacks are important; it is units-invariant.

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
  • Results depend on the chosen normalisation, weights, and parameter settings.

Sources

  1. Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research DOI: 10.1016/S0377-2217(99)00407-5 ↗

How to cite this page

ScholarGate. (2026, June 2). Slack-Based Measure Data Envelopment Analysis. ScholarGate. https://scholargate.app/en/decision-making/dea-sbm

Similar methods

DEA-NETWORK-SBMDEADEA-SUPEREFFDEA-BCCDEA-RAMDEA-ENVDEA-NETWORKDEA-CROSSEFF

Related reference concepts

Decision Support SystemsDecision MakingWeighted ScoresAllocative Efficiency • Cost–Benefit AnalysisInput–Output Tables and AnalysisCost-Benefit Analysis

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

ScholarGate — DEA-SBM (Slack-Based Measure Data Envelopment Analysis). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/dea-sbm · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Tone, K.
Subfamily
Ranking
Year
2001
Type
Non-radial DEA efficiency via input/output slacks (ρ ∈ [0,1])
Value Space
crisp
Uncertainty
None
Compensation
partial
Rank Reversal
No
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