Together with Prysmian's Digital Innovation Lab, we have created the Predictive Quality project.
The goal is to provide mathematical modeling tools that can support engineers in monitoring, predicting and improving all aspects of the production process that affect product quality. In order to monitor production lines and machinery in real time, our solution was to create a web application. This app does not only facilitate the analysis of process engineers, but also collects feedback and indications from the user, to allow a process of continuous improvement of the algorithms that identify anomalies. The Predictive Quality project started from some plants mainly dedicated to cables in the telco sector and is now extending to the production of energy cables as well.