Imagine a factory where a product passes through five or six different machines before it's finished — like a car part that gets stamped, welded, painted, and assembled. If something goes slightly wrong at step two, you won't notice until step five, and by then you've wasted time and materials on dozens of bad parts. GO0D MAN built a network of smart agents — think of them as tiny digital inspectors stationed at every stage — that talk to each other in real time, catch problems early, and even adjust the machines automatically so defects never make it downstream.
Manufacturers running multi-stage production lines lose money every time a defect slips past one stage and contaminates downstream processes. By the time a bad part reaches final inspection, you've already wasted materials, machine time, and labor on something destined for the scrap bin. The problem multiplies in complex production — automotive, precision components, customized equipment — where each stage depends on the quality of the previous one.
The project built a multi-agent inspection system with two key deliverables: a multi-agent infrastructure (network of smart digital agents monitoring each production stage) and ZDM Management Strategies and Rules (the logic for detecting, preventing, and responding to defects in real time). These were deployed and tested on 3 real factory lines across different production types.
If you are an automotive parts maker dealing with defects that slip through multiple production stages and only show up at final inspection — this project developed a multi-agent inspection system tested on automated serial mass production of automotive components. It catches deviations in real time at each stage, preventing defective parts from moving downstream and reducing scrap across your entire line.
If you are a precision parts manufacturer struggling with batch quality variation in multi-step machining — this project built smart inspection tools validated on batch production of high-precision mechanical components for automotive electro valves. The system detects process drift early and self-adapts, so you maintain tight tolerances without constant manual intervention.
If you are a professional equipment manufacturer producing customized products like commercial ovens and dealing with quality inconsistency across made-to-order variants — this project deployed a zero-defect management system on a professional oven production line. It handles the complexity of customized production by monitoring each stage and adapting inspection rules to different product configurations.
The project received EUR 4,012,462 in EU funding across 10 partners over 3 years, which covered R&D and validation across 3 use cases. Actual deployment costs for a single factory would depend on the number of production stages and existing sensor infrastructure. Contact the consortium for implementation pricing.
Yes — the system was validated on 3 real industrial use cases: automated serial mass production (automotive), batch production of precision components, and customized product manufacturing (professional ovens). These represent different production types and volumes, demonstrating adaptability to real factory conditions.
The project was coordinated by AEA s.r.l. (Italy) with 10 partners across 5 countries. IP is likely shared among consortium members. You would need to negotiate licensing with the relevant partners — the coordinator AEA s.r.l. would be the starting point for those discussions.
The system uses a distributed agent-based architecture built on Cyber-Physical Systems. It is designed to work alongside existing production equipment by adding smart inspection points at each manufacturing stage. The multi-agent infrastructure was built as a deployable layer, as shown in the demo deliverable covering implementation of the multi-agent system infrastructure.
The system provides real-time detection of deviations and trends at each production stage. Benefits like reduced scrap and fewer downstream defects should be visible immediately once sensors and agents are operational. The project ran from 2016 to 2019 and completed all 3 industrial validations within that period.
The system supports Zero-Defect Manufacturing strategies, which align with automotive quality standards like IATF 16949 and general ISO 9001 requirements. The ZDM Management Strategies and Rules deliverable specifically addresses quality control procedures. Based on available project data, specific certifications would need to be confirmed with the consortium.
The GO0D MAN consortium of 10 partners across 5 countries (Austria, Italy, Poland, Portugal, Serbia) is heavily industry-driven at 70% — 7 industry partners including 2 SMEs, backed by 2 universities and 1 research organization. This is a strong signal for business readiness: the technology was built with and for manufacturers, not just in a lab. The coordinator AEA s.r.l. is an Italian private company, meaning the project was led by someone who understands commercial deployment. The mix of Western and Central/Eastern European partners also means the solution was tested across different manufacturing cultures and cost structures.
AEA s.r.l. (Italy) — reach out to their R&D or business development team for licensing and implementation discussions
Want to connect with the GO0D MAN team? SciTransfer can arrange an introduction and help you evaluate fit for your production line. Contact us for a one-page brief.
