Journal ArticleDOI
Output–input ratio analysis and DEA frontier
Yao Chen,Agha Iqbal Ali +1 more
TLDR
It is shown that top-ranked performance by ratio analysis is a DEA frontier point, which allows identification of membership of frontier DMUs without solving a DEA program.About:
This article is published in European Journal of Operational Research.The article was published on 2002-11-01. It has received 63 citations till now. The article focuses on the topics: Data envelopment analysis.read more
Citations
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Journal ArticleDOI
Aggregated ratio analysis in dea
Yong Zha,Liang Liang +1 more
TL;DR: An improved aggregated ratio model is established to better comprehend the inner relationship between the two methods, and an inference that the observed DMU is ratio efficient if and only if it is CCR efficient is proposed.
Journal ArticleDOI
Measuring the relative performance for leading fabless firms by using data envelopment analysis
TL;DR: According to the CCR and A&P models, the results showed that the top ten Decision Management Units (DMUs) achieved better operation performance among the 30 leading global fabless firms.
Journal ArticleDOI
Preprocessing DEA
José H. Dulá,Francisco J. López +1 more
TL;DR: Testing shows that preprocessors have the potential to classify a large number of DMUs economically making them an important computational tool especially in large scale applications.
Cost Competitiveness and Efficiency of the Automobile Industry in China: An Empirical Examination
TL;DR: A court may impose penalties and award damages in relation to offences and infringements relating to copyright material as mentioned in this paper, and higher penalties may apply, and higher damages may be awarded, for offences and inferences involving the conversion of material into digital or electronic form.
Journal ArticleDOI
An extended aggregated ratio analysis in DEA
Malin Song,Jie Wu,Yumei Wang +2 more
TL;DR: In this paper, an extended aggregated ratio analysis (EARA) model is proposed, similar as the development from CCR model to BCC model in DEA context. But the proposed model can offer an insight into the characteristic of returns to scale, playing the corresponding role as BCC model does.
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.
Book
"Data Envelopment Analysis: Theory, Methodology, and Applications"
TL;DR: In this article, the authors present DEA Software Packages for the U.S. Airline Industry and present a Spatial Efficiency Framework for the Support of Locational Decision (SELF).
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Components of efficiency evaluation in data envelopment analysis
TL;DR: In this paper, the authors examine three essential components which comprise efficiency evaluation in data envelopment analysis and determine the implicit evaluation scheme associated with the model and provide a framework for classifying the various DEA models with respect to (i) the form of envelopment surface, (ii) the orientation, and (iii) the pricing mechanism implicit in the multiplier lower bounds.
Journal ArticleDOI
Streamlined computation for data envelopment analysis
TL;DR: Computational testing with real-world data sets with up to 533 decision making units indicates that employing constructs that facilitate efficiency of computation in solving a sequence of as many linear programs as there are decisionMaking units reduces computation time significantly.