A Prioritisation Model for HSE Risk Assessment

The unavailability of sufficient data and uncertainty in modeling, some techniques, and decision-making processes play a significant role in many engineering and management problems.  Attain to sure solutions for a problem under accurate consideration is essential.  In this paper, an application of fuzzy inference system for modeling the indeterminacy involved in the problem of HSE risk assessment is presented. For this purpose, Failure Mode and Effect Analysis, one of the most practical techniques in reliability programs in HSE risk assessment is integrated with Fuzzy Inference System. The proposed model is executed according to the Mamdani algorithm and fuzzy logic toolbox of MATLAB software. With respect to a case study, a comparison between the proposed model and common FMEA risk assessment approach is made for prioritization of HSE risks. Based on the proposed model, falling and slipping of workers is the first serious risk (RPN= 0.7938) and inconsiderable risk is skin injury (RPN= 0.0223). Ultimately, by applying the method on a case study, the results indicate that the proposed model by considering economic aspects as an intelligent risk evaluation tool provides more detailed and precise results.