Optimization of stability in the production process

Valmet Industrial Internet solutions are developed to optimize tissue production and reduce quality losses and operational costs.  

Sofidel has innovated by adopting a digital transformation project with Valmet. The project uses real-time prediction of quality parameters, such as tensile strength, to reduce raw material usage and improve process insight for operators.

Valmet and Sofidel collaborated to create a predictive real-time model based on process analysis, testing, and verification. The model provides real-time information on tensile strength to operators through the Valmet interface. This solution reduces the variability of quality parameters, which could result in downgrading or higher production costs. 

Additionally, the project incorporates a predictive monitoring service as a development stream to optimize the performance and reliability of the production assets. The predictive monitoring service uses software, asset management best practices, and Artificial Intelligence to reduce costs, increase availability and lifespan of assets.

Sofidel, during this collaboration, tested the service to understand better its potential: a new way to monitor and assess the health and condition of their assets, prevent failures, and enhance efficiency and productivity.