Conceptualization of a Serious Game for Validation and Optimization of a Decision Support System in Disturbance and Error Management on the Shop floor

Abstract

The integration of digital technologies and production elements has profound implications for disturbance and error management in operational-tactical production areas, driven by demands for flexibility, responsiveness, and resilience. Decision support systems (DSS) are seen as crucial tools, leveraging intelligent algorithms to aid decision-making and enhance efficiency.A human-centric DSS, utilizing artificial intelligence (AI) methods, has been developed to facilitate data-driven decisions and shift responsibilities to operational staff. Special attention is given to human-DSS interaction to understand its effects on employee workflows.This work aims to conceptualize a serious game as an innovative method for evaluating the DSS. The game tests technical functionality and simulates impacts on production workflows and human-system interaction (HSI). Realistic scenarios of disturbances, errors, and tool changes will enable early error identification and problem-solving.Through this comprehensive study, improvement opportunities in HSI will be uncovered, and the relevance of the serious game in the DSS context evaluated. AI models will be validated by simulating disruption and error situations in the game, followed by detailed examination of user experience and system value.Multiple participant groups will be involved, with varying levels of DSS assistance, allowing for differentiated analysis of system impacts. This approach will provide a comprehensive understanding of the DSS's practical applicability and benefits in real production environments. Future plans involve conducting the study and reporting the results.

Keywords: Disruption Management, Error Management, Decision Support System, Serious game, Human-System Interaction

DOI: 10.54941/ahfe1005409