Human performance models can be included in industrial system models to improve the design of the industrial system, manufacturing processes, and product design. In our use case, a critical process in the production of a new airplane was being considered for automation. This process requires the highest quality assurance and is normally performed manually. Robot assistance could improve quality and efficiency. A human performance model focused on worker fatigue was developed, taking into account characteristics of the workers, robots, and tasks. Two different automation scenarios (fully manual, semi-automated), with different worker characteristics such as skill, age, motivation, etc. were studied. Using historical production line data in the fully manual scenario, and simulated data for the semi-automated scenario, global fatigue scores and graphical visualization were generated by the model for each scenario, allowing the system architects to understand the effects of the future production system on workers, including errors, time lost, costs and overall resilience of the system.