Human factor risk management in the process industry: A case study

Abstract In this work, a new procedure called Human Factor Risk Management (HFRM) was developed in order to integrate Human Factor in a Refinery Risk Management System. Taking into consideration historical data regarding Environmental Accidents, Near miss, Injuries and Operating accidents occurred in a refinery over the last years a panel of experts defined the performance shaping factors (PSFs) and risk associated with adverse events. A conceptual model, based on Association Rules (AR), has been proposed for investigating the network of influences among adverse event typology, human error causes, refinery plant area involved in the adverse event, performance shaping factors (PSFs), risk index and corrective actions. The results obtained using the association rules method proved to be useful for assessing human practices and human factors which influence high-risk situations. The human factor analysis carried out in this paper was planned as a dynamic process and can be repeated systematically. The association rules technique, taking into consideration a wide set of objective and predictive variables, shows new cause–effect correlations in refinery processes never described previously, highlighting possible adverse events and supporting decision-making in these areas.

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