Context: The steel industry is a crucial sector in the global economy, and the efficiency of steelmaking operations significantly impacts production quality, energy consumption, and environmental factors. Effective training of operators in the steel industry is essential for optimizing these operations. This Ph.D. thesis proposal aims to integrate modeling and simulation, 3D experiences, and artificial intelligence to enhance the training of operators and improve steelmaking performance.
Research Objectives: The primary objectives of this research are as follows:
Conclusion: This Ph.D. thesis proposal focuses on enhancing steelmaking operations through innovative training methods, interactive immersive simulations, and the integration of artificial intelligence. The research aims to bridge the gap between theoretical knowledge and practical expertise, ultimately improving the performance of operators and the steel industry as a whole.