OFacT is an open-source digital twin framework for production and logistics environments.
We support the design, planning, and operational control of discrete material flow systems — across the full system life cycle.
Digital Twins • Production Systems • Logistics • Discrete Simulation • Material Flow • Decision Support • Automated Model Generation • Validation & Verification • Machine Learning
Companies face a continuously evolving set of pressures:
- Shorter production life cycles
- Frequently changing demands
- Complex supply chains
- Increasing number of product variants
- Evolving regulations, legal requirements, and restrictions
These challenges require constant, complex decision-making — often demanding dynamic evaluation and comparison of multiple scenarios. Detailed simulation models are frequently the only means of obtaining a reliable assessment of costs and performance, and real-world data must be continuously integrated to keep those models accurate and up-to-date.
OFacT addresses this across two key phases of a production system:
| Phase | How OFacT Helps |
|---|---|
| Design / Re-design | Simulate and evaluate design alternatives before the real system exists |
| Operation | Iteratively plan orders and resources; control execution in real time when disruptions occur |
Open source is central to our mission — accelerating research, enabling collaboration, and lowering the barrier for companies to adopt digital twin technology.
- ofact: The core OFacT framework — auto-generate digital twins from company data and enhance decision-making in production and logistics systems
Own a related repository? If you are working on tools, extensions, or research in the areas of digital twins, production simulation, or smart logistics, we warmly invite you to integrate your repository into this organization. Reach out via e-mail ([email protected]) or open a discussion in one of our repositories.
OFacT is primarily driven by:
| Institution | Role |
|---|---|
| University of Applied Sciences and Arts Bielefeld | Research & development |
| Fraunhofer ISST | Research & development |
We are open to further institutional and industrial partners who share our vision of accessible, open digital twin technology.
Interested in digital twins, production simulation, or smart logistics?
- Contribute to our repositories via issues, discussions, and pull requests
- Visit our GitHub organization for all active projects
- Reach out to [email protected] to explore research collaborations, industry partnerships, or to bring your own related project under the OFacT umbrella
