Saf Health Work.  2015 Jun;6(2):77-84. 10.1016/j.shaw.2014.11.001.

An Efficient Taguchi Approach for the Performance Optimization of Health, Safety, Environment and Ergonomics in Generation Companies

• Azadeh A
• Sheikhalishahi M

• KMID: 2317177
• DOI: http://doi.org/10.1016/j.shaw.2014.11.001

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.

Keyword

data envelopment analysis; generation companies; health, safety, environment, and ergonomics; performance optimization; Taguchi methods

MeSH Terms

Human Engineering*
Noise
Passive Cutaneous Anaphylaxis
Principal Component Analysis