Data Envelopment Analysis Theory, Methodology and Applications

  title={Data Envelopment Analysis Theory, Methodology and Applications},
  author={Abraham Charnes and William W. Cooper and Arie Y. Lewin and Lawrence M. Seiford},
  journal={Journal of the Operational Research Society},
Preface G. Kozmetsky. Part I: Concepts, Models & Computation. 1. Introduction. 2. Basic DEA Models. 3. Extensions to DEA Models. 4. Computational Aspects of DEA A. Iqbal Ali. 5. DEA Software Packages. Part II: Novel Applications. 6. Evaluating the Impacts of Operating Strategies on Efficiency in the U.S. Airline Industry R.D. Banker, H.H. Johnston. 7. Analyzing Technical and Allocative Efficiency of Hospitals P. Byrnes, V. Valdmanis. 8. A Multi Period Analysis of Market Segments and Brand… 
A data envelopment analysis approach to evaluate the performance of mutual funds
The main purpose of this contribution is to use the DEA methodology in order to compute a mutual fund performance index that can take into account many conflicting objectives together with the costs required by the investment.
Efficiency Measurement of Factories Via Data Envelopment Analysis
How a mathematical programming technique called Data Envelopment Analysis (DEA) can be used to measure the efficiency of factories of a multinational company, given the existence of multiple inputs and outputs in the transformation process with no a priori weightings is illustrated.
Data envelopment analysis with imprecise data
Data envelopment analysis in performance measurement: a critical analysis of the literature
The findings indicate that in respect of business support units, the DEA methodology allows for the incorporation of intermediate outcomes, which facilitates the measurement of the contribution of these units to overall company performance.
Computing DEA/AR efficiency and profit ratio measures with an illustrative bank application
This paper describes how the recent, published DEA/AR theory, in conjunction with software, provides measures of radial efficiency and profit ratios, and provides a comprehensive classification of the measures for both the efficient and inefficient decision-making units (DMUs).
Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research
  • S. Ray
  • Economics, Sociology
  • 2004
1. Introduction and overview 2. Productivity, efficiency, and data envelopment analysis 3. Variable returns to scale: separating technical and scale efficiencies 4. Extensions to the basic DEA models
The assessment of dynamic efficiency of decision making units using data envelopment analysis
The concept of a "production function" as means to measuring efficiency began in 1928 with the seminal paper by Cobb and Douglas (1928). However, until the 1950s, production functions were largely