Current market demands on manufacturing companies not only increase the challenges facing production but also require transparent and optimized material flow and machining processes. However, the relevant physical processes are often—especially in SMEs—not adequately mapped digitally.
Data from cyber-physical systems (CPS) could provide a solution, but often only large volumes of raw measurement data are available, which are not directly suitable for analyzing or controlling processes or for forecasting future developments.
Artificial Intelligence Methods for Process Optimization
The AI4Pro research project aims to optimize spatially distributed processing steps in the manufacturing industry. The goal of AI4Pro is to develop directly applicable, AI-based tools and methods for physical production processes characterized by high variability and flexibility:
Physical Analytics: order-based and automated real-time analysis using CPS
Process Analytics: process analysis methods for process monitoring
Predictive Analytics: Derivation of forecasts
Prescriptive Analytics: Derivation of recommendations for action