Name: COSMO Predictive Control | Predictive Control Software
Availability: InStock

My Challenges

The quality of your production depends on many factors and variables, but often it is not possible to clearly assign them. This may be due to the fact that manual setting of machine parameters does not lead to optimal production results, even when experienced operators are on duty.

This is where our solution comes in.

How I will be supported

Consider having your company rely on AI-supported quality inspection during manufacturing in the future. With this approach, your employees can use sensor data, machine parameters, and environmental variables to create a machine learning model that predicts quality in the production process. This model can then independently make intelligent decisions to optimize machine settings.

The quality is thus automatically in the optimal range and ensures lower waste and high reliability. The processes in your companies are further automated and the product quality increases significantly. And finally, decisive influencing variables of the production process become more transparent – that's what we call an intelligent solution.

My benefit

With the help of sensor data, a model is trained that keeps the production quality in the optimal range with a suitable setting of the machine parameters.

Predictive control automates production and makes it more efficient. Error rates are reduced and resources are conserved. In addition, intelligent process control reduces costs and improves product quality.

Machine learning software can be used in various fields. In production, it optimizes the quality of products and helps to save resources. In logistics, it can be used to optimize transport and delivery processes.

But predictive control is also used in energy supply and facility management, helping to reduce energy consumption and increase operational reliability.