Simon Fischer

Data aggregation and pre-processing of electric motor production data • Creation of analyses of cycle times, buffer allocations, failure rates and the utilization of stations in electric motor production • Visualization of these analyses in the form of interactive dashboards in Palantir Foundry • Investigation of the material flow within the production lines using ad-hoc analyses • Supporting the integration of a new PLC module for data provision

• Developed Resin Transfer Molding (RTM) simulations in PAM-RTM to enhance manufacturing efficiency, reduce resource consumption, and lower costs. • Designed image processing methods to generate synthetic sensor data for machine learning applications. • Trained neural networks in PyTorch to predict the flow front in the RTM process, enabling the prevention of dry spots.