Reducing The Health Risk of the Workers in the Engineering Industry Through Safety Engineering Systems

Abstract

The mining industry, vital for global economic growth, carries significant risks to both human safety and the environment. Effective hazard identification and risk analysis are crucial to mitigating these dangers. This project proposes a comprehensive approach to hazard identification and risk analysis, integrating advanced methodologies, technologies, and collaborative frameworks to enhance safety. The primary goal is to create a holistic framework for identifying, assessing, and controlling risks throughout all stages of mining, from exploration to decommissioning. The approach combines traditional techniques, like hazard identification (HAZID) and failure modes and effects analysis (FMEA), with modern tools such as machine learning algorithms, real-time monitoring, and predictive analytics. By merging these innovative technologies with conventional methods, the project aims to improve the precision of risk assessments and enable proactive decision-making. It also stresses a multi-disciplinary approach, incorporating input from engineers, safety experts, environmental scientists, and workers, ensuring all potential risks are addressed. Through case studies and industry collaboration, the research promotes a safety culture where risk management is embedded in daily operations. By enhancing hazard identification and risk analysis, this project aims to reduce accidents, environmental damage, and operational disruptions, fostering a safer, more sustainable mining industry adaptable across various sectors.