Citation

Azadeh A, Sheikhalishahi M. Saf. Health Work 2015; 6(2): 77-84.

Affiliation

Centre for Industrial Management/Traffic and Infrastructure, KU Leuven, Heverlee, Belgium ; School of Industrial and Systems Engineering and Center of Excellence for Intelligent Based Experimental Mechanics, College of Engineering, University of Tehran, Iran.

Copyright

(Copyright © 2015, Occupational Safety and Health Research Institute)

DOI

10.1016/j.shaw.2014.11.001

PMID

26106505

PMCID

PMC4476202

Abstract

BACKGROUND: A unique framework for performance optimization of generation companies (GENCOs) based on health, safety, environment, and ergonomics (HSEE) indicators is presented.

METHODS: To rank this sector of industry, the combination of data envelopment analysis (DEA), principal component analysis (PCA), and Taguchi are used for all branches of GENCOs. These methods are applied in an integrated manner to measure the performance of GENCO. The preferred model between DEA, PCA, and Taguchi is selected based on sensitivity analysis and maximum correlation between rankings. To achieve the stated objectives, noise is introduced into input data.

RESULTS: The results show that Taguchi outperforms other methods. Moreover, a comprehensive experiment is carried out to identify the most influential factor for ranking GENCOs.

CONCLUSION: The approach developed in this study could be used for continuous assessment and improvement of GENCO's performance in supplying energy with respect to HSEE factors. The results of such studies would help managers to have better understanding of weak and strong points in terms of HSEE factors.

Language: en