DEVELOPING An OHS SOCIO-TECHNICAL SIMULATION ENVIRONMENT FOR MANUFACTURING WORKFORCE EDUCATION

The manufacturing sector is a cornerstone of the European economy, relying on a workforce capable of managing complex socio-technical systems (STSs). However, bridging the gap between theoretical knowledge and practical application remains challenging, particularly in large-scale, flexible learning contexts. Conventional teaching methods often lack dynamic complexity and struggle to integrate active learning in time and location independent settings. This paper presents the initial development steps of a novel online simulation environment designed to address these challenges. The solution combines technical system modelling with generative AI-based social simulation to create a holistic, scalable learning tool. The focus is on key competence areas such as Lean Production, Safety, Quality Management, and Human Factors. Generative AI enables realistic representation of human interactions within STSs, complementing simulations of technical processes to provide an integrated learning experience. To ensure rigor, the simulation requirements are derived from stakeholder needs, scientific literature, and regulatory frameworks. International survey data and expert input inform the identification and consolidation of socio-technical factors, which are validated by a multidisciplinary team of experts. These requirements form the foundation for the Erasmus+ project 4 SiM (Scalable Socio Technical System Simulation in Manufacturing), which aims to deliver an innovative educational platform by 2028. The paper discusses preliminary findings from the requirements engineering phase and their implications for simulation design. By integrating generative AI with technical system modelling, 4SiM seeks to advance workforce education and enhance resilience in manufacturing systems.

Keywords: Education, Simulation, Socio-technical systems, Safety, Manufacturing.