Research institutions

Research Staff:
Process Developers | Simulation Experts | Data Analysts |
Technicians
Student Assistants | Students Working on Theses
Professors | Group & Department Heads

• Scientists gain access to planning, manufacturing, and quality data, enabling data-driven analysis and scientific evaluation of industrial processes.
• Process quality and stability can be systematically investigated and analyzed in realistic environments using appropriate scientific methods and tools such as dPart.
• Innovative models and methods can be validated against real-world industrial data and their performance demonstrated in practical contexts.
• Open interfaces and standardized data formats facilitate flexible integration into research environments, while data integrity, versioning, and detailed documentation of data sources ensure traceable and reproducible usage.