Abstract
The main interface in human-machine interaction is identification and visualization technologies. In the future, more automated data analysis is needed so that data can be continuously aggregated, so that value added information is produced and that knowledge is extracted from this information that can improve the productivity and the quality of a product. Visualization of real-time production data in a user-friendly manner is, more specifically, a basis for decision-making for overall equipment losses. This research is based on a case study which aims to provide insight into how to successfully increase useful and user-friendly digital decision-making human-machine interaction support that can enable the improvement of overall equipment efficiency.
