Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. This tutorial paper introduces the technique and uses an example to show how relative efficiencies can be determined and targets for inefficient units set. The paper also considers a number of practical issues of concern in applying the technique.
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by Ali Emrouznejad & Rajiv Banker

Two days training at Aston University
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William W Cooper

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Performance Improvement Management Software – PIM-DEA software
Managing Service Productivity : Uses of Frontier Efficiency Methodologies and MCDM for Improving Service Performance, Springer

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Big Data for Greater Good, Springer

Performance Measurement with Fuzzy DEA, Springer

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Strategic Performance Management &
Measurement Using DEA. IGI Global, USA.

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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