New methods for ranking decision making units based on the dispersion of weights and Norm 1 in Data Envelopment Analysis

Authors:
G. R. Jahanshahloo;P. Firoozi Shahmirzadi
Affiliations:
-;-
Venue:
Computers and Industrial Engineering
Year:
2013

Citing 6
Cited 0

A procedure for ranking efficient units in data envelopment analysis

Management Science
A Complete Efficiency Ranking of Decision Making Units in Data Envelopment Analysis

Computational Optimization and Applications
A new method based on the dispersion of weights in data envelopment analysis

Computers and Industrial Engineering
A neutral DEA model for cross-efficiency evaluation and its extension

Expert Systems with Applications: An International Journal
Optimal profit-maximizing system design data envelopment analysis models

Computers and Industrial Engineering
Alternative mixed integer linear programming models for identifying the most efficient decision making unit in data envelopment analysis

Computers and Industrial Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

One of the drawbacks of Data Envelopment Analysis (DEA) is the problem of lack of discrimination among efficient Decision Making Units (DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights, which, was suggested by Bal et al. (2008). In this paper, we modify the model and introduce two new models for ranking efficient DMUs based on Norm 1 and using means of inputs-outputs weights. To illustrate purpose, numerical examples are given.