This study explores the use of Digital Human Modelling (DHM) with Siemens’ Process Simulate to enhance inclusive design in manufacturing, aligning with Industry 5.0’s focus on human-centric and adaptive systems. Traditional user testing often poses financial and physical challenges, particularly for individuals with disabilities. By simulating users with and without joint impairments (e.g., osteoarthritis), this research investigates the potential of DHM to minimize physical testing and proactively identify ergonomic risks. The project involved three manufacturing scenarios: manual (using a screwdriver), mechanical (using a nail gun), and automated (robot-assisted assembly). Ergonomic assessment (OWAS) was employed to evaluate the safety and comfort of different user models. Findings revealed that manual tasks posed higher risks to users with limited joint mobility, while automated scenarios significantly reduced these risks. It was also found that women experience greater discomfort throughout the programmed tasks, made worse when joint flexion is limited, like Osteoarthritis cases. This indicates that DHM helps to represent diverse user needs, informing the universal design of safer, more accessible workplaces, ahead of physical build and setup.