A Decision Support System tailored to the Maintenance Activities of Industry 5.0 Operators

Industry 5.0 addresses the human challenges of Industry 4.0 as a human-centric solution, placing the worker’s well-being at the centre of the production process. If, on the one hand, the last technologies support operator 5.0 to embrace the collaborative potential of human-machine cooperation, on the other hand, the complexity, as well as the rapid evolution of new technologies, could have the potential to produce immediate stress reaction leading to reduce the workers’ well-being. Recent studies have proved that the maintenance area is experiencing many innovations in terms of approaches and technologies. In this field, the rapid progress of technological equipment is leading to an increase in the human operators’ mental workload. This paper presents preliminary concepts and objectives of a Decision Support System (DSS) for the Diagnosis and Evaluation of Maintenance Operations. The DSS intends to assist industrial professionals and stakeholders in maintenance tasks characterised by significant cognitive demands. Considering variables such as task complexity and the mental and physical condition of operators involved in a maintenance task, the DSS will provide real-time recommendations for selecting the most suitable operators by promoting a gradual technology introduction, increasing industrial performance, and ensuring the well-being of the workers.