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IEA Webinar #52 PSO-STPA model: case study of an industry 4.0 plant using smart glasses

This webinar is the fourth and last part of the Webinar Series: Systemic Methods in Complex and Digitalized Manufacturing, showcasing applied and analytical modeling research using FRAM and STAMP-STPA. The webinar is presented by members of the IEA Resilience Engineering Committee. The series focuses on applications in complex and digitalized manufacturing environments, including scenarios with complex manual work, digital gloves, smart glasses, and cobots. In particular, the intervention explores the introduction of smart glasses into complex systems, illustrated by a case study in a refrigerator assembly plant. While wearables like smart glasses offer great potential, they also bring new risks, particularly related to human error. By introducing a novel approach that combines Systems-Theoretic Process Analysis (STPA) with Particle Swarm Optimization (PSO), we provide a promising framework for identifying, quantifying, and managing these risks. The results demonstrate the efficacy of the STPA-PSO approach in managing risks during the design stage, enabling more effective human-machine collaboration.