Chaos-X Research Project
Resilience of industrial production systems through chaos engineering and artificial intelligence
Project objective
The aim of the Chaos-X research project is the experimental assessment and targeted enhancement of the resilience of complex production systems at shop floor level. To this end, the chaos engineering approach, familiar from the IT sector, is being applied to industrial production environments.
The focus is on an ICT-supported platform that combines two complementary resilience tools. These include a digital twin for realising the so-called ‘daydreaming factory’ as a model-based Chaos-X twin, and an adaptive, AI-based scheduling system that acts as a learning system. The approach is complemented by a standardised chaos generator capable of introducing targeted disruptions into simulation models of production systems.
The technologies developed will be further advanced within the project from Technology Readiness Level (TRL) 3 to TRL 6. Testing will initially take place in the PTW’s learning factories. The approach will then be validated at three industrial companies under real-world conditions.
Contribution by SimPlan AG
SimPlan AG is responsible within the project for the design, development and validation of an AI-based adaptive scheduling approach for simulation-based production models.
The aim is to develop a system capable of dynamically adapting production plans whilst taking various disruption scenarios into account. This is intended to reduce the impact of uncertainties and unexpected events on key performance indicators of industrial production systems.
The approach developed by SimPlan focuses in particular on:
- the dynamic adjustment of production plans in the event of disruptions
- the integration of AI methods into simulation-based production models
- increasing the resilience of production systems
- improving throughput and on-time delivery
- the stabilisation of production processes under uncertain conditions
The results make an important contribution to the development of robust and adaptable production systems for the industry of the future.
Project partners
Sponsored by
The research project is funded by the Federal Ministry of Research, Technology and Space (BMFTR).
Funding began in June 2026 and is expected to continue until May 2029.
