Title of article
An Efficiency Measurement and Benchmarking Model Based on Tobit Regression, GANN-DEA and PSOGA
Author/Authors
Mirzaei, Mohammad Reza Department of industrial management - Islamic Azad University of Central Tehran, Tehran , Afshar Kazemi, Mohammad Ali Department of industrial management - Islamic Azad University of Central Tehran, Tehran , Toloie Eshlaghy, Abbas Department of Industrial Management - Islamic Azad University, Tehran
Pages
15
From page
79
To page
93
Abstract
The purpose of this study is designing a model based on Tobit regression, DEA, Artificial Neural Network, Genetic Algorithm and Particle Swarm Optimization to evaluate the efficiency and also benchmarking the efficient and inefficient units. This model has three stages, and it uses the data envelopment analysis combined model with neural network, optimized by genetic algorithm, to evaluate the relative efficiency of 16 regional electric companies of Tavanir. A two-staged approach of data envelopment analysis and Tobit regression has been used to measure the effects of environmental variables on the mean efficiency of companies. Finally we use a hybrid model of particle swarm algorithm and genetic algorithm to benchmark the efficient and inefficient units. The mean efficiency of regional electric companies have increased from 0.8934 to 0.9147, during 2012 to 2017, and regional electric companies of Azarbayjan, Isfahan, Tehran, Khorasan, Semnan, Kerman, Gilan and Yazd, had the highest mean efficiency of 1, and west regional electric companies and Fars had the lowest efficiency of 0.7047 and 0.6025, respectively.
Keywords
Benchmarking , Efficiency , GANN-DEA , PSOGA , Tobit regression
Journal title
Astroparticle Physics
Serial Year
2018
Record number
2476336
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