Performance Optimization of HSEE Factors in Generation Companies

A unique framework for performance optimization of generation companies (GENCO) based on human, safety, environment and ergonomics (HSEE) indicators is presented. In order to rank this sector of industry, the combination of data envelopment analysis (DEA), principle component analysis (PCA) and Taguchi are used for all branches of generation companies. The mentioned 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. The results show that Taguchi outperforms other methods. The developed algorithm of this study could be used for continuous assessment and improvement of GENCO 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.

Keywords:

Performance Optimization , Generation Companies (GENCO) , Human , Safety , Environment and Ergonomics (HSEE) , Data Envelopment Analysis (DEA) , Principal Component Analysis (PCA) , Taguchi Methods