DAT4.ZERO · Project

Smart Quality Control System That Catches Defects Before They Happen in Factories

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Imagine your factory floor is covered in tiny sensors that watch every step of production — like having a quality inspector with superhuman vision at every station. DAT4.ZERO built a system that collects all that sensor data, checks it for reliability, and uses it to predict when something is about to go wrong — before you produce a single bad part. Think of it like spell-check for manufacturing: it flags problems in real time so you can fix them instantly. The system was tested on 5 real production lines across Europe, from precision machining to electronics assembly.

By the numbers

Industrial pilot lines where the system was demonstrated

Partners in the consortium

Countries represented

Industry partners involved in development

SMEs in the consortium

64%

Industry ratio in consortium

The business problem

What needed solving

Factories producing high-value parts in small batches with frequent product changeovers lose money every time a defect slips through or a production line takes too long to reconfigure. Traditional quality control catches problems after the fact — meaning wasted materials, delayed deliveries, and expensive rework. Manufacturers need a way to predict and prevent defects in real time, especially when every production run is different.

The solution

What was built

DAT4.ZERO built a Digitally-enhanced Quality Management (DQM) system combining a distributed sensor network, a data validation and analysis toolkit, and a modeling and simulation layer — all integrated with existing factory systems. They also delivered a demonstrated supplier selection and evaluation tool. The full system was validated across 5 industrial pilot lines.

Audience

Who needs this

Contract manufacturers producing high-mix, low-volume precision partsAutomotive Tier 1-2 suppliers managing frequent line changeoversElectronics assembly companies with strict zero-defect requirementsAerospace component manufacturers needing full production traceabilityIndustrial equipment makers looking to reduce ramp-up time for new products

Business applications

Who can put this to work

Precision Manufacturing

mid-size

Target: Contract manufacturers producing high-mix, low-volume metal or plastic parts

If you are a precision parts manufacturer dealing with high scrap rates and long ramp-up times when switching between product variants — this project developed a digital quality management system with real-time sensor monitoring and data validation that was demonstrated across 5 industrial pilot lines. It targets zero defect manufacturing specifically for high-mix, low-volume production, which is where traditional statistical quality control often falls short.

Automotive Components

enterprise

Target: Tier 1-2 automotive suppliers with multiple production lines

If you are an automotive supplier struggling with supplier qualification and line reconfiguration every time a new model year starts — this project built strategies for rapid line qualification and reconfiguration, plus a supplier selection and evaluation tool demonstrated in real industrial settings. With 14 industry partners validating the approach, the toolkit addresses the exact pain point of getting new lines qualified fast.

Electronics Assembly

mid-size

Target: Electronics manufacturers with high quality requirements and complex supply chains

If you are an electronics assembler where a single defective component can ruin an entire board — this project created a distributed multi-sensor network integrated with existing factory systems that validates data integrity in real time on actual production lines. The system provides dynamic feedback and feed-forward mechanisms so quality issues are caught during production, not at final inspection.

Frequently asked

Quick answers

What would it cost to implement this system in our factory?

The project data does not include specific pricing or licensing costs. However, the system was designed to use cost-effective sensors integrated with existing factory cyber-physical systems, which suggests it was built to minimize hardware investment. Contact the consortium for implementation cost estimates.

Can this scale to our production volume and factory size?

The system was demonstrated across 5 distinct industrial pilot lines in different sectors, specifically targeting high-value, high-mix, low-volume production contexts. The architecture supports distributed multi-sensor networks, which means it can scale by adding sensor nodes. The 22-partner consortium across 7 countries tested it in varied production environments.

What is the IP situation — can we license this technology?

DAT4.ZERO was an EU Innovation Action with 22 partners including 14 industry players and 8 SMEs. IP is typically shared among consortium members per the grant agreement. SINTEF Manufacturing AS in Norway coordinated the project — they would be the first point of contact for licensing discussions.

How does this integrate with our existing MES and ERP systems?

The system was specifically designed to integrate with existing Cyber-Physical Systems (CPS) already running in factories. The DQM platform architecture was built for knowledge extraction and data exchange with production systems already in place. Integration with 5 different pilot line setups suggests adaptability to various IT/OT environments.

How long would it take to deploy and see results?

The project developed strategies for rapid line qualification and reconfiguration, which suggests reduced deployment time was a core design goal. The project ran from October 2020 to March 2024, with demonstration completed across 5 pilot lines. Based on available project data, exact deployment timelines per factory are not specified.

Does this meet industry quality standards and regulations?

The system targets Zero Defect Manufacturing, which aligns with quality management standards like ISO 9001 and automotive IATF 16949. The supplier selection and evaluation demonstration deliverable suggests compliance-oriented capabilities. The consortium includes 5 research organizations that would have validated against industry standards.

Consortium

Who built it

This is a strong industry-driven consortium with 22 partners across 7 countries (AT, DE, ES, IT, NO, PT, UK). With 14 industry partners making up 64% of the consortium and 8 SMEs involved, the project was clearly built around real manufacturing needs rather than pure academic research. SINTEF Manufacturing AS from Norway — a well-known applied research institute — coordinated the effort, balancing 3 universities and 5 research organizations against the dominant industry voice. The geographic spread across major European manufacturing countries (Germany, Italy, Spain, Austria) means the results were tested against diverse production cultures and regulatory environments. For a business buyer, this consortium composition signals that the technology was shaped by manufacturers who actually need it.

SINTEF MANUFACTURING ASCoordinator · NO
ROBERT BOSCH GMBHparticipant · DE
HOLONIX SRLparticipant · IT
INTERNATIONAL DATA SPACES EVparticipant · DE
SINTEF ASparticipant · NO
FERSA BEARINGS, SAparticipant · ES
IDEKO S COOPparticipant · ES
INSTITUTO TECNOLOGICO DE ARAGONparticipant · ES
TTTECH INDUSTRIAL AUTOMATION AGparticipant · AT
KARLSRUHER INSTITUT FUER TECHNOLOGIEparticipant · DE
ENKI S.R.L.participant · IT
KIT-AR LIMITEDparticipant · UK
POLITECNICO DI MILANOparticipant · IT
THE UNIVERSITY OF NOTTINGHAMparticipant · UK
TTTECH COMPUTERTECHNIK AGthirdparty · AT
TTS TECHNOLOGY TRANSFER SYSTEMS SRLparticipant · IT
DANOBATparticipant · ES
BENTELER AUTOMOTIVE RAUFOSS ASparticipant · NO

How to reach the team

SINTEF Manufacturing AS (Norway) coordinated DAT4.ZERO. Contact them via the project website or SINTEF's main research portal for licensing and implementation inquiries.

Order a report on this consortium See SINTEF MANUFACTURING AS profile →

Next steps

Talk to the team behind this work.

Want to know if DAT4.ZERO's quality management toolkit fits your production line? SciTransfer can arrange an introduction to the right consortium partner for your specific use case.

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