scispace - formally typeset
Journal ArticleDOI

A procedure for ranking efficient units in data envelopment analysis

Per Andersen, +1 more
- 01 Oct 1993 - 
- Vol. 39, Iss: 10, pp 1261-1264
Reads0
Chats0
TLDR
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
More filters
Journal ArticleDOI

Does size matter? finding the profitability and marketability benchmark of financial holding companies

TL;DR: This paper employs a two-stage production process including profitability and marketability performance using a non-parametric frontier method — data envelopment analysis (DEA) and shows that big-sized FHCs are generally more efficient than small-sized ones.
Journal ArticleDOI

The directional distance function and measurement of super-efficiency : an application to airlines data

TL;DR: An alternative procedure proposed in this paper uses the directional distance function and the resulting Nerlove–Luenberger measure of super-efficiency, which generally leads to a complete ranking of the observations and is easily interpreted.
Journal ArticleDOI

Profile distance method: a multi-attribute decision making approach for information system investments

TL;DR: A new, conceptual approach, the profile distance method, is presented, to support the IS selection problem, that combines the merits of two prominent concepts individually applied in decision making: the utility ranking method (URM) and the data envelopment analysis (DEA).
Journal ArticleDOI

A benchmarking analysis of Spanish commercial airports: a comparison between SMOP and DEA ranking methods

TL;DR: This paper uses the flexibility of Surface Measure of Overall Performance (SMOP) and Data Envelopment Analysis (DEA) ranking methods to analyze the relative performance of each individual Spanish airport, and to fully rank both efficient, as well as inefficient airports.
Journal ArticleDOI

The origins, development and future directions of data envelopment analysis approach in transportation systems

TL;DR: The results show that DEA is one of the most useful approach in evaluating TSs for policy makers and can help the decision makers in transportation especially regarding environmental factors, sustainable development and eco-design.
References
More filters
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.
Journal ArticleDOI

Measuring the technical efficiency of production

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.
Related Papers (5)