A modified super-efficiency measure based on simultaneous input–output projection in data envelopment analysis

Super-efficiency data envelopment analysis (SE-DEA) models have been developed and applied in many situations. However, under the condition of variable returns to scale (VRS), infeasibility of the SE-DEA model may occur and restrict its application. A modified SE-DEA measure based on simultaneous in...

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Bibliographic Details
Published in:Computers & operations research 2011-02, Vol.38 (2), p.496-504
Main Authors: Chen, Jin-Xiao, Deng, Mingrong, Gingras, Sylvain
Format: Article
Language:English
Subjects:
Applied sciences
Computation
Computer simulation
Data envelopment analysis
Decision theory. Utility theory
Efficiency
Efficiency measure
Empirical analysis
Exact sciences and technology
Firm modelling
Infeasibility
Mathematical models
Mathematics
Nonparametric inference
Operational research and scientific management
Operational research. Management science
Operations research
Probability and statistics
Projection
Sciences and techniques of general use
Statistics
Studies
Super-efficiency
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Summary:Super-efficiency data envelopment analysis (SE-DEA) models have been developed and applied in many situations. However, under the condition of variable returns to scale (VRS), infeasibility of the SE-DEA model may occur and restrict its application. A modified SE-DEA measure based on simultaneous input–output projection is proposed as a way to systematically characterize the super-efficiency in both inputs and outputs. The modified measure overcomes the infeasibility problem while providing ease of computation and interpretation. The practicability of the proposed measure in real applications and its comparison to other super-efficiency measures are illustrated empirically using an example.
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2010.07.008