Knowledge Based Training Derived from Risk Evaluation Concerning Failure Mode, Effects and Criticality Analysis in Autonomous Railway Systems

When building digital solutions security and safety are essential, especially in critical industrial applications. Considering this in connection with people who operate them, we investigate here how such an extension can be applied by using the FMECA analysis. We derived a meta-model for an autonomous railway system. This meta-model includes all relevant components to apply an FMECA assessment including adequate technical and sociological requirements as well as the assessment of measures for a safety process from the design phase. Before working out the social aspects in the FMECA, methods from Design Thinking were used to combine them with the technical aspects in a structured way. Methods used in Design Thinking processes help to create ideas and to prototype new (technical) products with general know-how about user aspects. This research combines market research, technical development and sociological aspects. Assessing safety aspects at the interface between humans and machines, we applied the Persona-model and developed it further to consider the users' diversity categories and aspects of organizational learning within an industrial unit. The result provides answers to questions about the avoidance of errors, discussions on safety aspects and an outlook on tools that can be used to prevent accidents, such as organizational development tools and knowledge based training materials. At the same time, they offer starting points for creating trust in digital solutions and cyber security for employees.