Journal ArticleDOI
A procedure for ranking efficient units in data envelopment analysis
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In this paper, a modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed, which provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.Abstract:
Data Envelopment Analysis DEA evaluates the relative efficiency of decision-making units DMUs but does not allow for a ranking of the efficient units themselves. A modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed. The procedure provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.read more
Citations
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Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model
TL;DR: A modified three-phase model is proposed and the performance efficiency of PPAPs in China is generally low due to the unreasonable production scale, and improper site selection is also a cause for low efficiency.
Journal ArticleDOI
Using Super-Efficiency Analysis for Ranking Suppliers in the Presence of Volume Discount Offers
TL;DR: In this article, the authors proposed an innovative algorithm for ranking suppliers in the presence of volume discount offers, with regard to various criteria, based on super-efficiency analysis, which can be applied from both a buyer's and supplier's perspective.
Journal ArticleDOI
Ecoefficiency measurement using data envelopment analysis: research and practitioner issues
Joseph Sarkis,Srinivas Talluri +1 more
TL;DR: In this article, the use of data envelopment analysis (DEA) for environmental performance evaluation has been discussed. DEA theory and application has increased greatly and it can be used from both the practitioner and researcher perspective, and an illustrative example from published data helps to gain insight into DEA models, their capabilities and limitations.
Journal ArticleDOI
A modified DEA model to estimate the importance of objectives with an application to agricultural economics
TL;DR: In this article, a connection between data envelopment analysis (DEA) and a non-interactive elicitation method to estimate the weights of objectives for decision-makers in a multiple attribute approach is demonstrated.
Journal ArticleDOI
A ranking method based on a full-inefficient frontier
TL;DR: A ranking method is suggested which basically differs from previous methods but its models are similar to traditional DEA models such as BCC, additive model, etc, where DMUs are compared against an full-inefficient frontier.
References
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
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Measuring the technical efficiency of production
Rolf Färe,C. A. Knox Lovell +1 more
TL;DR: The purpose of this paper is to specify a set of properties such an efficiency measure should satisfy, to show that the widely used measure proposed by Farrell does not satisfy them, and to introduce a new measure that does satisfy these properties.
Journal ArticleDOI
Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks
TL;DR: Polyhedral Cone-Ratio Data Envelopment Analysis Models generalizing the CCR Ratio Model are developed for situations with a finite number of DMUs and employing polyhedral cones of virtual multipliers as discussed by the authors.