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Journal ArticleDOI

Output–input ratio analysis and DEA frontier

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.
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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.

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Citations
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Journal ArticleDOI

Using scatter plots to identify efficient units: a heuristic approach to data envelopment analysis

TL;DR: It is indicated that the “corner points” in single input and single output scatter plot has extreme efficiency with regard to the multiple input and multiple output DEA models.
Journal ArticleDOI

Ratio-based data envelopment analysis: An interactive approach to identify benchmark

TL;DR: In this paper , a multi-objective linear programming (MOLP) model for evaluating efficiency based on defining the production possibility set in the presence of ratio data and to get the corresponding benchmark to each decision-making unit DMU is presented.

Output-input ratio analysis and data envelopment analysis inefficient frontier

TL;DR: The worst efficiency analysis approach in which an inefficient production frontier is used to determine the worst relative efficiency score that can be assigned to any DMU and mathematical properties determining the intrinsic relationships between the inefficient frontier DMUs and the output-input ratios are discussed.
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).
Journal ArticleDOI

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.
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