Data Mining / Machine Learning in the production environment

Short description of the project

Due to the increasing automation of manufacturing processes and the growing use of sensors, ever larger production and plant data sets are accumulated in ever shorter time periods, which are currently only insufficiently used to optimize processes. The introduction of previously existing data mining tools into the production environment usually caused considerable difficulties due to the disproportionate effort required to adapt to heterogeneous production areas and communication structures.

Project goals

Within the framework of the Fraunhofer project ProDaMi, flexible software modules were therefore developed with the ProDaMi suite, which are tailored to the production environment. The ProDaMi-Suite provides support for a wide range of process and product optimization tasks, e.g. performance and condition monitoring, quality optimization, product development, variant management, design of experiments, updating of master data.

Project result

Real-time capable software solutions have been realized for many of these application areas, which are already successfully used in industrial environments. This is our offer to customers from the industrial production environment:

• Consulting and realization of production data analysis projects
• Development of tailor-made software for data mining analyses (as stand-alone applications or integrated into the existing IT infrastructure)
• Support during the commissioning of optimization tools and long-term maintenance

We will gladly answer your questions in a personal meeting.