Case study DiProLea – Digital product creation process with learning assistance system
Product development in industry often suffers from fragmented data and human error. As part of the DiProLeA project, fortiss developed a scalable, intelligent assistance system that integrates development and production using semantic modelling and real-time process monitoring. The result: greater efficiency, accuracy and adaptability across various industrial application scenarios.
DiProLeA was a collaborative initiative funded by the Federal Ministry of Research, Technology and Space (BMFTR) with the shared aim of driving forward the digital transformation in production systems.
Solution
fortiss developed a knowledge-based assistance system that links data, processes and human expertise. To this end, the team designed an open system architecture and formal knowledge models that enable semantic interoperability between development tools and production environments. Real-time process monitoring and context-dependent support based on machine-readable data were implemented. Demonstrators showcased semantic process support at IBO GmbH and XR-based assistance for aircraft assembly at Hutchinson PFW.
The modular solutions are transferable to various industries and adaptable to different tasks and environments.
Result
- Developed intelligent, learning-based assistance systems for digital product development.
- Enabled semantic integration of design, assembly, and monitoring tools.
- Improved process reliability and reduced manual errors in real-world pilots.
- Reduced training time and increased precision using XR-based guidance.
- Created modular and reusable architectures adaptable to multiple industries.
- Demonstrated measurable improvements in worker support and digital integration.
Outcome
The DiProLeA project proved that modular, semantically grounded assistance systems can transform industrial product development. fortiss’s expertise enabled real-time, user-centric support systems with high adaptability. Strong collaboration between research and industry was key to building practical, transferable technologies.
Project partner
