Manufacturing
Manufacturing
Mathematical models to optimize process and product quality
Prysmian is a world leader in the production of cables applied to the energy and telecommunications sector. Our collaboration has led to the creation of specialized mathematical models, able to support Prysmian engineers in the management of production plants.
- Description and benefits
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.
Reduced analysis time
The user-friendly application speeds up root cause analysis thanks to customized visualizations
Improved quality
Potential problems are automatically flagged by the system, identified in minutes, and can be resolved in advance to minimize the risk of producing low-quality cables
Reduced cost and environmental impact
Minimizing the production of defective cables to be discarded makes production more sustainable as well as more economical
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