Advances in Industrial Engineering

Advances in Industrial Engineering

Analysis of the Technical Efficiency of the ِDecision Making Units Making Use of the Synthetic Model of Performance Predictor Neural Networks, and Data Envelopment Analysis (Case Study: Gas National Co. Of Iran)

Authors
mehdi ajalli
H. Safari
Abstract
One of the biggest problems of using Data Envelopment Analysis for the evaluation of performance is the weakness of the separability for the decision maker units. This problem is generalizable because of the lower quantity of units in comparison with the ¬input and output quantities of the model [1]. This matter considerably reveals itself in the evaluation process of 23 provincial gas companies considering the higher input and output rates of each provincial gas company. Based on this fact, in this research an integrative model composed of Performance Predictor Neural Networks and Data Envelopment Analysis is designed and used. The results using this model illustrate the strength of the neural network in evaluation and classification of the companies based on their efficiencies.
Keywords
Artificial neural networks (ANNs)
CCR model of the input oriented
Data Envelopment Analysis (DEA)
Neuro/DEA
Technical efficiency
Advances in Industrial Engineering
Volume 45, Issue 1 - Serial Number 600832
نشریه مهندسی صنایع
April 2011
Pages 13-29