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

Area of Science:

• Industrial Engineering
• Operations Research

Background:

• A novel framework for optimizing generation companies (GENCOs) performance is introduced.
• The framework utilizes health, safety, environment, and ergonomics (HSEE) indicators.

Purpose of the Study:

• To develop and evaluate a robust method for ranking GENCOs based on HSEE performance.
• To identify the most effective analytical approach for GENCO performance assessment.

Main Methods:

• Integrated application of Data Envelopment Analysis (DEA), Principal Component Analysis (PCA), and Taguchi methods.
• Sensitivity analysis and correlation analysis to select the optimal ranking model.
• Introduction of noise into input data for robust evaluation.

Main Results:

• The Taguchi method demonstrated superior performance in ranking GENCOs compared to DEA and PCA.
• A comprehensive experiment identified the most influential factors for GENCO ranking.
• The integrated approach provides a reliable measure of GENCO performance.

Conclusions:

• The developed approach enables continuous assessment and improvement of GENCO performance regarding HSEE factors.
• This methodology assists managers in understanding and addressing HSEE-related strengths and weaknesses.
• The study provides a valuable tool for enhancing energy supply efficiency and safety.