AI-enhanced Control Strategy for Production Environment

The aim of the Experiment is to provide end-users Small and medium-sized enterprises (SMEs) an instrument to implement AI and AI-related technologies into their production environment. Benefits for end-users can be achieved in terms of time and costs reduction, final product quality and general better production plant management, with the possibility to allow interaction between the production line management and other services (e.g. predictive maintenance, digital twins...). A better production line management will also allow for productivity enhancement and reduction of dead costs, such as warehouse management and waste management. Thanks to AI enhanced predictions, activities inside the production environment will be fine-tuned, allowing for a better efficiency and cost reduction. More, the AI-enhanced management tool will provide support in terms of energy efficiency and machine allocation. Training algorithms on different datasets from different experiences will allow the acquisition of methodologies from other production sectors, fostering cross-contamination.