As the basis for the transfer of Aachen production technology into the age of the fourth industrial revolution, the next important milestone for the further creation of application-oriented and innovative solutions in the field of production technology is now on the agenda of the new Cluster. The IoP offers real-time, secure information availability of all relevant data at any time, at any place and is regarded as the core of industry 4.0. In this way, the IoP paves the way for a new era of production.
| Manager(s) |
Matthias Jarke |
| Funding | |
| Project Start | January 01, 2019 |
| Project End | December 31, 2024 |
| Status | Running |
| Website | http://www.iop.rwth-aachen.de |
- Identification Techniques for Data-driven Feedback Loops in Manufacturing (Running)
- Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains (Running)
- LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers’ RDM Processes (Running)
- Synopsis operators for a distributed on-the-edge streaming architecture (Running)
- Near Real-time Anomaly Detection from Videostreams using WASM and Machine Learning (Running)
- Is there data? Repository approaches to simplify the search for reusable research data (Finished)
- Adaptive Operator Placement for Edge Clusters using Cluster Simulation (Finished)
- User-defined and Predictive Quality of Service Monitoring for on-the-edge Data Stream Processing (Finished)
- Executing Stream Processing Operators on Programmable Networking Devices (Finished)
- Efficient Metadata Management in Industrial Data Lakes for High Pressure Die Casting (Finished)
- A Hybrid and Platform-Agnostic Stream Processing Architecture (Finished)
- Development of a Data Ecosystem Model for the Context of Procurement (Finished)
- Development of a metadata model for the storage of data streams in data lakes in the context of industrial production (Finished)