The human unreliability is the main cause of industrial accidents. In the petrochemical field, about 90% of accidents are due to human errors. Over the years, several models of Human Reliability Analysis have been developed. The major limitation of these models is due to their static nature. Thus, the present research aims to propose a new innovative approach to evaluate the variability of the human error probability between related activities in complex systems using a resilience engineering approach.. Research integrates an HRA evaluation model with a resilience engineering model called Functional Resonance Analysis Model to assess the human error variability. The methodology is applied in a real case study for the emergency management in a petrochemical company.