Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Autonomous Production Optimization
The focus of production optimization is on Overall Equipment Effectiveness (OEE). This key figure is used to evaluate the efficiency of technical systems and takes into account the three factors causing effectiveness losses in production:
- Availability
- Performance
- Quality
As connectivity in manufacturing increases, new paths can be taken to optimize production processes. Closely aligned with methodical production optimization - the lean philosophy - data-driven optimization in manufacturing enables existing methods to be continuously implemented, evaluated and adapted. It also allows previous blind spots in analyses to be eliminated and new potential for improvement to be identified.
With the above-mentioned optimization targets in mind, we can increase the availability of equipment. We can also improve the performance of already high-running equipment and find the root cause of any deviations in quality.
Our expertise
- Domain knowledge and a broad understanding of manufacturing processes
- Data acquisition with a focus on control data and external sensor technology
- Sensor development
- Modeling the behavior of manufacturing equipment
Your advantages
- Increased transparency in production
- Automatic identification of discrepancies in OEE
- Continuous analysis of your production system