Vinnova-funded research and innovation project · 2026–2029
Fourteen Swedish manufacturers, technology providers and research organisations, working together to halve the cost of uncertainty, variation and risk in manufacturing.
Every manufacturer knows the pattern. A promising product, a tight schedule, and then the surprises: tolerances that do not stack up, a supplier part that varies more than expected, a test that contradicts the simulation, a production line that has to be re-planned. Each one costs money and time, and most of them trace back to uncertainty, variation and risk that were invisible when the decision was made. About 80 per cent of how a product behaves over its life is fixed by those early decisions.
The data that would have shown the problem usually exists, in simulations, tests, sensors, factories and the field. It is just not connected to the decision. DRIVE PR connects it.
In the design office
Bring manufacturing, inspection and usage data back into early design. Use synthetic data where real data is scarce. Define product platforms that work for both the integrator and the supplier.
Data-Driven Engineering DesignBetween design and factory
Connected sensing over 5G and 6G, high-performance computing and AI models that evaluate hundreds of alternatives instead of a handful, with people in charge of the decision.
Digital Infrastructure and Decision SupportOn the factory floor
Re-plan layouts interactively, let digital twins control processes rather than just monitor them, and automate repair and remanufacturing alongside new production.
Digital and Connected FactoryTwelve industry-driven tracks make this concrete. See the research
First capabilities shown in 2027, industrial case tests in 2028, each measured against a 2026 baseline.
The Data-Driven Product Realisation Concept: the workflow, methods and infrastructure, written so that other manufacturers can adopt it.
Learning events every six months, short professional courses and online training from 2027. Selected events are open beyond the consortium.
PhD students and postdocs across the Wingquist Laboratory groups, and about 30 master's theses done with industry.
How to scale the results across Swedish manufacturing after 2029, with input to standards such as QIF, STEP and ISO 8000.
The Learning Lab is the door into the project for companies, researchers and students who are not consortium members.
Want to bring an industrial case, or prepare for Phase 2 from 2029? Talk to the project leader.
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