Factory2Fit · Project

Adaptive Factory Automation That Fits Each Worker's Skills and Abilities

manufacturingPilotedTRL 6

Imagine every worker on a factory floor getting a setup that adjusts to their personal strengths — like a car seat that remembers your position, but for the entire job. Factory2Fit built software that tracks what each worker is good at, what they struggle with, and automatically adjusts the machines and tasks to match. Workers get a personal dashboard showing their progress, and managers can use virtual factory models to test new ways of organizing work before rolling them out. It was tested in 3 real factories across Europe.

By the numbers

Industrial pilots in real manufacturing environments

Consortium partners

Countries represented (DE, EL, FI, IE, RO)

Industry partners in consortium

75%

Industry ratio in consortium

SMEs in consortium

Total project deliverables

The business problem

What needed solving

Manufacturing companies struggle with one-size-fits-all automation that ignores individual worker differences. When machines and tasks aren't matched to each person's abilities, the result is higher error rates, more workplace injuries, lower job satisfaction, and expensive turnover. Companies need automation that adapts to people — not the other way around.

The solution

What was built

The project built a worker feedback dashboard (demonstrated on personal devices), a dynamic user model tracking physical and cognitive abilities, virtual factory models for participatory work design, and augmented reality tools for contextual guidance and knowledge sharing. These were validated across 3 industrial pilots with 14 total deliverables.

Audience

Who needs this

Automotive assembly plants with mixed-skill workforcesElectronics manufacturers with frequent product changeoversIndustrial companies facing high worker turnover and retraining costsFactory operators dealing with ergonomic injury claimsManufacturing SMEs adopting Industry 4.0 automation

Business applications

Who can put this to work

Automotive Manufacturing

enterprise

Target: Car assembly plants with mixed-skill workforce

If you are an automotive manufacturer dealing with high error rates and worker turnover on assembly lines — this project developed adaptive automation tools tested in 3 industrial pilots that adjust task assignments based on each worker's physical and cognitive abilities. The worker feedback dashboard gives employees real-time performance data, supporting continuous skill development and reducing mistakes.

Electronics Assembly

mid-size

Target: Contract electronics manufacturers with frequent product changeovers

If you are an electronics assembly company dealing with constant product changes that require rapid worker retraining — this project developed virtual factory models for participatory design of work practices and augmented reality tools for contextual guidance. These were validated across 12 consortium partners in 5 countries, helping workers adapt faster to new production setups.

Food & Beverage Processing

any

Target: Food production plants with ergonomic and safety concerns

If you are a food processing company dealing with repetitive strain injuries and occupational health costs — this project developed a dynamic user model tracking physical and cognitive abilities that adjusts automation levels to protect workers. The system was designed to reduce occupational health issues, stress, and improve ergonomics on the shop floor.

Frequently asked

Quick answers

What would it cost to implement this adaptive automation system?

The project data does not include specific licensing or implementation costs. As a publicly funded EU research project (RIA), the core knowledge is accessible. Contact the coordinator VTT in Finland for pricing on commercial deployment or licensing terms.

Can this scale to a large factory with hundreds of workers?

The system was designed for manufacturing environments and tested across 3 industrial pilots in actual factory settings with 12 partners from 5 countries. The dynamic user model approach is designed to scale, as each worker gets an individual profile that the system manages automatically.

Who owns the intellectual property and can I license it?

IP is shared among the 12 consortium partners under Horizon 2020 rules. VTT (Finland) coordinated the project. For licensing inquiries, contact VTT directly — as a major European research organization, they have established technology transfer processes.

How does this integrate with our existing factory systems?

Factory2Fit used virtual factory models and augmented reality tools designed to work alongside existing manufacturing setups. The adaptive automation layer sits on top of current systems rather than replacing them, reading worker performance data and adjusting task parameters.

Is this proven in real factory conditions or just a lab concept?

This was tested in 3 industrial pilots in actual manufacturing environments, not just labs. The consortium had 9 industry partners (75% industry ratio) including 5 SMEs, ensuring the solutions addressed real shop-floor conditions.

What measurable improvements can we expect?

The project targeted improvements in productivity, quality, ergonomics, work satisfaction, and reduction in errors, stress, and occupational health issues. Based on available project data, specific percentage improvements were not published in the objective — contact VTT for pilot results.

Does this comply with worker privacy regulations?

The system uses a dynamic user model tracking physical and cognitive abilities — a 'quantified employee' approach. Any deployment in the EU would need to comply with GDPR. The participatory design approach means workers are actively involved in how their data is used, which supports compliance.

Consortium

Who built it

The Factory2Fit consortium is heavily industry-oriented: 9 out of 12 partners are from industry, giving a 75% industry ratio — well above average for EU research projects. With 5 SMEs in the mix, the solutions were shaped by companies that actually need to implement them, not just by academics theorizing about factory floors. The 5-country spread (Germany, Greece, Finland, Ireland, Romania) covers both Western European high-automation markets and Eastern European manufacturing hubs. VTT, the Finnish national research centre, coordinated — they have a strong track record in turning research into industrial applications.

TEKNOLOGIAN TUTKIMUSKESKUS VTT OYCoordinator · FI
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXISparticipant · EL
C.C.I.C.C. LIMITEDparticipant · IE
VITESCO TECHNOLOGIES GMBHparticipant · DE
VISUAL COMPONENTS OYparticipant · FI
AMORPH SYSTEMS GMBHparticipant · DE
TECHNISCHE UNIVERSITAET CHEMNITZparticipant · DE
FINN-POWER OYparticipant · FI
CONTINENTAL AUTOMOTIVE GMBHparticipant · DE
AMORPH SYSTEMS SRLthirdparty · RO
COLLINS AEROSPACE IRELAND, LIMITEDparticipant · IE
CARR COMMUNICATIONS LIMITEDparticipant · IE

How to reach the team

VTT Technical Research Centre of Finland — search for Factory2Fit project lead at VTT for direct contact

Order a report on this consortium See TEKNOLOGIAN TUTKIMUSKESKUS VTT OY profile →

Next steps

Talk to the team behind this work.

Want to connect with the Factory2Fit team to explore licensing or pilot deployment? SciTransfer can arrange a direct introduction to the right people at VTT.

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