Abstract: “The scrap metal factories are complex systems that play a crucial role in the transformation industry and construction. Since these factories face various safety issues in design, installation, operation, transportation and maintenance processes, there are many aspects open for improvement in Occupational Health and Safety risk assessment and it is required to deal with risks, reduce them to an acceptable level and control. To struggle with emerging risks and manage this process better, a risk assessment framework is proposed in this study. A case study is performed in an Algerian scrap metal company using the proposed framework. It is based on historical accident data exploitation using Bayesian Inference after a deep treatment. Results are recommendation which should improve the worker safety”

Keywords: Occupational risk, Bayesian approach, data treatment, metal industry, Risk assessmen