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Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
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TLDR
In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.Abstract:
List of Tables. List of Figures. Preface. 1. General Discussion. 2. The Basic CCR Model. 3. The CCR Model and Production Correspondence. 4. Alternative DEA Models. 5. Returns to Scale. 6. Models with Restricted Multipliers. 7. Discretionary, Non-Discretionary and Categorical Variables. 8. Allocation Models. 9. Data Variations. Appendices. Index.read more
Citations
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Journal ArticleDOI
A slacks-based measure of super-efficiency in data envelopment analysis
TL;DR: This paper addresses the "super-efficiency" issue of Data Envelopment Analysis by using the slacks-based measure (SBM) of efficiency, which the author proposed in his previous paper [European Journal of Operational Research 130 (2001) 498].
A Slacks-based Measure of Super-Efficiency in Data Envelopment Analysis
TL;DR: In this paper, the slacks-based measure (SBM) of efficiency was proposed to discriminate the efficient decision making units (DMUs) based on the existence of slacks.
Journal ArticleDOI
Network DEA: A slacks-based measure approach
Kaoru Tone,Miki Tsutsui +1 more
TL;DR: A slacks-based network DEA model is proposed, called Network SBM, that can deal with intermediate products formally and evaluate divisional efficiencies along with the overall efficiency of decision making units (DMUs).
Journal ArticleDOI
Dynamic DEA: A slacks-based measure approach
Kaoru Tone,Miki Tsutsui +1 more
TL;DR: In this article, the authors proposed a dynamic DEA model that incorporates carry-over activities into the DEA model and enables measuring period specific efficiency based on the long time optimization during the whole period.
Journal ArticleDOI
Data envelopment analysis: Prior to choosing a model
Wade D. Cook,Kaoru Tone,Joe Zhu +2 more
TL;DR: In this article, the authors address several issues related to the use of data envelopment analysis (DEA), including model orientation, input and output selection/definition, use of mixed and raw data, and number of inputs and outputs to use versus the number of DMUs.
References
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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
Separation of ownership and control
Eugene F. Fama,Michael C. Jensen +1 more
TL;DR: The authors argue that the separation of decision and risk-bearing functions observed in large corporations is common to other organizations such as large professional partnerships, financial mutuals, and nonprofits. But they do not consider the role of decision agents in these organizations.
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).
Book
The measurement of efficiency of production
TL;DR: The Structure of Production Technology as discussed by the authors, Radial Input Efficiency Measures, Hyperbolic Graph Efficiency Measures and Non-radial Efficiency Measures for Scale Efficiency and Toward Empirical Implementation.