ENG

RAINBOT

Key information

Budget

€ 99.500

Digital Innovation Hubs

27

Partner

2

RAINBOT

Partner

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Project overview

Company profile: Rain SpA is a Lombardy-based SME that manufactures patented components and systems for smart irrigation (both sprinkler and drip), based on artificial intelligence algorithms and sensors for remote control and real-time fault diagnosis.

Innovation and adaptation: The company has evolved its business model in response to market demand and the impact of COVID-19, adopting an innovative, flexible, and people-centered approach while maintaining global competitiveness.

RAINBOT Project: This project involves the integration of a collaborative robot into the production line for solenoid valves and solenoids, with the support of the MADE Competence Center i4.0, using the *Test Before Invest* methodology to simulate scenarios for the use of collaborative robotics.

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DIH2

Key information

DIH2

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Project overview

Project funded by the EU through the Horizon 2020 program.

Coordinated by the Finnish research center VTT Technical Research Centre of Finland Ltd.

It aims to create a sustainable network of Digital Innovation Hubs (DIH).

Focus on support for SMEs in the manufacturing sector.

It promotes the adoption of advanced robotics and artificial intelligence technologies.

Works in collaboration with EFFRA (European Factories of the Future Research Association).

Create a thematic group on “Robotics and AI for manufacturing.”

The role of MADE4.0

MADE leveraged its European network of Digital Innovation Hubs and innovation community to capitalize on project results and create synergies with other networks, such as DIGITBrain. It facilitated integration into new market opportunities and scaled up experiments through interregional funding. By applying the “Test Before Invest” methodology, it improved testing in safe environments, facilitating technology transfer and reducing risks. Dissemination activities were carried out with DIGITBrain and with the selected experiments.

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CIRC-UITS

Key information

Budget

€ 5.995.026,10

Partner

20

CIRC-UITS

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Project overview

The European CIRC-UITS project is an initiative aimed at improving sustainability and circularity in the European electronic components industry, with a particular focus on semiconductors.

Focusing on the key sectors of automotive and mass electronics, the project promotes end-of-life (EoL) strategies such as reuse, remanufacturing, and recycling of semiconductors from various sources.

The aim is to boost intra-EU production, reducing dependence on external suppliers, especially from the Far East. The project is in line with European Union directives and strategies, such as the European Chips Act (concerning semiconductors) and the Digital Product Passport (regulating e-waste), to address the challenges facing the electronic components industry in an integrated manner.

The specific objectives of the project

Fully exploiting the benefits of circular economy practices through digital technologies.

Increase the efficiency and independence of resources and reduce the negative environmental footprint of electronics manufacturing processes through circular behaviors.

Improve and standardize information and data sharing among industry leaders involved in the same value chain.

Demonstrate the benefits of the digital circular economy through four pilot projects.

Benefits for companies

Provide new business models and set requirements for the production of products that are not harmful to the environment.

Providing companies with the tools to make more sustainable decisions, thereby avoiding “greenwashing.”

Access for companies to a wider supply market, with an expansion of secondary raw materials and greater diversification.

Innovative value chains thanks to the widespread adoption and large-scale demonstration of new technologies.

The results

Pilot 1 – Eco-friendly EV inverters: development of a sustainable dashboard, eco-compatible benchmarks, innovative disassembly techniques, CO₂ footprint transparency, and increased competitiveness of green products.

Pilot 2 – Tire sensors: design with eco-friendly materials, disassemblable bonding, and cyber-factory and digital twin approaches to promote reuse and recycling.

Pilot 3 – Eco-friendly IME: integration of recyclable PCBs, LCA tools for printed electronics, EoL repairability, and best practices for large-scale IME production.

Pilot 4 – Obsolete PCBs: classification and analysis of materials, design of advanced recycling plants, and creation of secure warehouses for used PCBs.

Impact

SCIENCE

New scientific studies on materials and applications in electronics.

ECONOMY AND TECHNOLOGY

New markets and technologies for materials and products.

COMPANY

Reducing the climate impact of flexible electronics manufacturing and accelerating the twin transitions (green and digital).

The role of MADE4.0

MADE4.0 is responsible for disseminating the project results, linking them to other European projects within the consortium.

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CAPP_AI4.0

Key information

Budget

€ 798,821.00

Partner

7

CAPP_AI4.0

Partner

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The challenges

Importance of planning: Planning and preparation of processes is crucial in modern mechanical engineering to ensure precision and quality.

Traditional approach: Until now, decisions have been based primarily on the experience of qualified professionals.

New opportunities: Artificial Intelligence systems can support planning, reducing time and improving results.

The specific objectives of the project

Raise awareness about the use of Artificial Intelligence in production process planning;

Develop specific skills for the use of AI-based support systems among employees;

Promote the practical application of AI in daily production planning and preparation activities;

Develop courses, workshops, and teaching materials for targeted staff training;

Increase the capacity, productivity, and efficiency of SMEs through the introduction of smart technologies.

Benefits for companies

Training and resources: The project involves organizing workshops, creating teaching materials, training courses, and digital learning activities focused on Industry 4.0.

Impact

Increasing Europe’s competitiveness.

Promote innovation and entrepreneurship.

Develop innovative products and services.

Training a new generation of entrepreneurs.

The role of MADE4.0

MADE4.0, a digital and sustainable factory, will provide a wide range of knowledge, methods, and digital technologies by hosting a significant number of workshops in a context composed of various industrial and institutional entities.

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BOWI

Key information

Partner

11

European countries

15

BOWI

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Problem

Digitization is uneven across European regions.

The main causes are different historical and economic conditions.

It is essential to transfer best practices from digitally advanced regions to emerging ones.

The goal is to unlock the potential of less developed markets through the equitable spread of digital innovation.

The specific objectives of the project

Support the adoption of SAE and I4MS technologies by DIHs, SMEs, and midcaps;

Facilitating access to advanced digital technologies;

Create an extensive and collaborative network of Digital Innovation Hubs (DIHs);

Promote cooperation between proto-hubs (in less developed regions) and mature DIHs (experts in SAE and I4MS);

Reducing the digital divide between different European regions.

The role of MADE4.0

MADE Competence Center Industry 4.0 is the mature DIH that will support and assist its proto-hub Innomine (Hungary) by sharing knowledge and technologies.

Pertner

Civitta (Lithuania), FundingBox Accelerator- FBA (Poland), Nederlandse Organisatie voor toegepast-natuurwetenschappelijk Onderzoek-TNO (Netherlands), VTT Technical Research Centre of Finland (Finland), Rheinisch-Westfaelische Technische Hochschule Aachen-RWTH (Germany), Transilvania IT Cluster- TIT (Romania), Latvian IT Cluster – LITC (Latvia), University of West Bohemia – UWB (Czech Republic), Krakow Technology Park – KTP (Poland), Norwegian University of Science and Technology – NTNU (Norway), Cluster Information and Communication Technologies – ICTC (Bulgaria)

Final list of proposals selected for the BOWI support program

DIH TECHNICOM – University Science Park TECHNICOM on behalf of the Technical, University of Kosice (Slovakia), Innomine DIH – South Transdanubian branch (Hungary), Blue European Digital Innovation Hub (Croatia), Futures of Innovation and Technology Digital Innovation Hub (Romania), Sunrise Valley Digital Innovation Hub (Lithuania), Centre 4.0 Igor Sikorsky Kyiv Polytechnic Institute (Ukraine), Hub For Digital Innovations (Czech Republic), Belgrade Robotics Hub (Serbia), Advanced Manufacturing Digital Innovation Hub (Lithuania)

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AI REDGIO5.0

Key information

Budget

€ 9.363.060

Partner

43

AI REDGIO5.0

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Project overview

AI REDGIO 5.0 aims to renew and extend the H2020 I4MS AI REGIO alliance between leading regions within the European Union and DIHs (Digital Innovation Hubs) for a competitive digital transformation and AI-at-the-Edge of manufacturing SMEs towards Industry 5.0.

The specific objectives of the project

Define a conceptual framework and reference architecture for the adoption of artificial intelligence (AI) in Industry 5.0, with a focus on edge computing.

Ensure the security and reliability of data and calculations in highly distributed environments, from the edge to the cloud.

Ensure interoperability with European AI platforms and related projects, such as Horizon 2020 and High-Performance Computing.

Promote the ethical and sustainable adoption of AI in the manufacturing industry, aligned with European values and tested in the “Teresa sandboxes.”

Support the transition from DIHs to EDIHs, strengthening the European digital innovation network for industry.

Conduct testing and trials in demonstration or educational environments before making large-scale investments.

Assess the effectiveness of AI in manufacturing SMEs, promoting the inclusion of small businesses in technology adoption.

Develop tools and methodologies for AI implementation, including the “6Ps” strategy (people, processes, technologies).

Promote the sustainability and growth of the European AI ecosystem by promoting replicable models in SMEs.

Benefits for the company

Implementation of new technologies and applications of AI ON EDGE.

SMEs will have the opportunity to participate in the project through specific open calls, where they will be able to experiment with AI technologies in their factories.

The results

Experiment with the use of AI in the quality monitoring process;

Facilitate collaboration between DIHs and EDIHs;

Incorporate EU values and ethical principles.

Desired impacts

The project promotes the adoption of AI at the edge in European industry, strengthening European Digital Innovation Hubs and supporting a transition to a more human, ethical, and sustainable Industry 5.0. It encourages experimentation, accelerates innovation, and increases the competitiveness of SMEs.

The role of MADE4.0

The MADE Competence Center Industry 4.0 acts as a real “Didactic Factory” for testing and developing artificial intelligence solutions for Industry 5.0. MADE4.0 also provides specific AI solutions for SMEs, leveraging synergies with DIHs and EDIHs.

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aerOS

Key information

Budget

€12.495.107,50

Participating countries

12

Partner

26

aerOS

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The problem

In Europe, the growth of data and digital infrastructure has fostered a new management paradigm that aims to process data close to its source in order to reduce latency, save bandwidth, and improve security, privacy, and autonomy.

The specific objectives of the project

Design and validate aerOS for edge-cloud orchestration in the IoT.

Develop a distributed, low-latency intelligent network driven by business needs.

Ensuring security, privacy, and reliability with a decentralized approach.

Integrate artificial intelligence and data autonomy, validated with use cases.

Building a global ecosystem through high-impact Open Calls.

The results

Adoption of aerOS: developers, experts, and entrepreneurs create new applications and services.

Technology evolution: core and support feature enhancements to meet the needs of external integrators.

Replicability and scalability: increased replicability potential, with new IoT-edge-cloud orchestration capabilities.

Market visibility: promotion of aerOS technology and its services.

Innovative ecosystem: support for a dynamic ecosystem open to industry around aerOS.

Feedback gathering: gathering relevant market input and engaging experts to improve technical capabilities and fill gaps.

The role of MADE4.0

Role of a public-private pilot line where MAL4 cognitive production processes can be implemented and validated. Ensure a fully automated assembly and production line with a robotic cell that simulates an industrial scenario for logistics and lean 4.0 production. Fine-tune the development and integration of all aerOS components.

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DIGITbreak

Key information

Budget

€ 125.000

SMEs

2

Digital Innovation Hubs

6

DIGITbreak

Partner

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Problem

Design optimization: balancing processes, sub-processes, and buffer sizes in assembly line design.

Mechanical problem prediction: Identify and resolve critical issues such as dimensions, speed, force, torque, interference, and collisions in advance of physical realization.

Compliance with required performance: ensuring speed, availability, and quality of performance in accordance with customer requirements.

Machine reconfiguration: enable machines to adapt to new scenarios, product variants, and technological updates, and assess the impact on existing designs.

The specific objectives of the project

Develop, integrate, and demonstrate a new Simulation Based Digital Twin (SBDT) of a car brake assembly line production system, leveraging the expertise of EnginSoft, Cosberg, and MADE;

Demonstrate the advantages of this Simulation Based Digital Twin approach to new potential customers through integration with DIGITBrain;

Improve Cosberg’s ability to design customized solutions that improve cost efficiency, consumption times, time to market, quality, and reliability.

Develop a new Manufacturing As A Service (MaaS) business model based on the implementation of Digital Twin based on simulation on Digital Agora;

Take advantage of the DIH Test Before Invest scenario, facilitating exploitation and replication of the end-user market.

The results

The development of a digital twin based on the simulation of a pilot car assembly line to be integrated into the Digital Agora.

Provide the right architecture on the first attempt, balancing processes, subprocesses, and buffer sizes.

Provide the right mechanical solutions, anticipating critical issues before physical equipment testing to avoid incorrect dimensions/speeds, force, torque/potential interference, collisions, or defects;

Ensure performance (speed, availability, quality) in line with customer requirements;

Enable machine reconfiguration to support different scenarios: new product variants, revamping, technological upgrades, estimating the impact on the current design.

The role of MADE4.0

The Test Before Invest methodology, by improving testing in non-competitive scenarios, has increased market transfer while minimizing innovation risk.

It has leveraged its European network of Digital Innovation Hubs and the innovation community (industry, business associations, universities) to exploit the results of the projects.

Strengthened synergies with EU regional networks, improving the scale of the experiment within interregional funding opportunities.

The “Test Before Invest” methodology, by improving testing in non-competitive scenarios, has increased market transfer while minimizing innovation risk.

Dissemination activities developed in cooperation with the DIGITBrain consortium and selected experiments.

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DEMO4GREEN

Key information

Budget

€ 379.922

European countries

10

Partner

10

DEMO4GREEN

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Problem

The project addresses the issue of carbon footprint in high-tech industries and infrastructure in Europe. Demo4Green, following the concept of “test before invest,” will start with a training module to implement demonstrators in Teaching and Learning Factories (TLFs), aimed at industries, technology companies, and research teams. In addition, it will support SMEs, start-ups, and entrepreneurs with coaching, commercial and technological roadmap development, financing, and IP strategies to bring sustainable technologies to market and improve high-tech infrastructure in RIS countries.

The specific objectives of the project

Initial training: Create a module on how to implement demonstrators in Teaching and Learning Factories (TLFs), aimed at companies and research teams.

Demonstrator selection: Identify demonstrators to be implemented in the consortium’s TLFs.

Business support: Providing coaching to SMEs, start-ups, and entrepreneurs, developing commercial and technological roadmaps, financing, and IP strategies to bring green technologies to market.

The results

Demo4Green will have a positive impact on several sectors:

Employees/workforce: development of digital skills through TLF, with a focus on digital literacy and technology adoption.

Social and economic development: stimulating growth in regions by applying practical collaboration schemes between academia and industry.

Academic solutions: transfer of knowledge and innovative concepts for businesses.

Partnership: promoting new collaborations between industry and universities.

SMEs and start-ups: support for digital transformation and promotion of sustainable cooperation models in production.

The role of MADE4.0

Task Leader for Innovation: MADE manages the Technology Demonstration task in T&L Factories as part of Demo4Green.

Open Call Management: Organize and launch an open call to select innovative technologies to be demonstrated in the partners’ TLFs.

Evaluation criteria: Select technologies based on their potential to contribute to the fight against climate change, assessing various indicators such as reduction in consumption and increase in renewable resources.

Financial support: Provides a €10,000 voucher to implement technology demonstrations, with a total of €80,000 distributed to external participants.

Collaborations: Allows the participation of consortia composed of two entities, including industrial companies, technology companies, RTOs, and universities.

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DE4HUMAN – Developing design driven innovation skills for human centered manufacturing system

Key information

Budget

400.000

12+

Online training courses

3

Learning Factory

80+

digital modules

DE4Human

Partner

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Project overview

Design Innovation combines traditional manufacturing skills with digital and innovative methods to improve operator-oriented factories. The De4Human project aims to strengthen the skilled workforce in Europe, particularly in manufacturing and engineering design, based on three pillars: Design4Empower, Design4Safety, and Design4Inclusivity. The goal is to support European SMEs in achieving excellent, human-centric, and inclusive manufacturing, contributing to the social growth of the EU.

The specific objectives of the project

Mission of the DE4Human project: to train white-collar workers in the manufacturing industry in the use of design thinking to rethink production processes in a human-centric way. The goal is to create work environments that are safer (DE4Safety), more inclusive (DE4Inclusivity), and that promote worker empowerment (DE4Empower).

Promotion of Design Thinking: spreading design thinking methodologies throughout the manufacturing industry as a tool for developing human-centric skills, enhancing creativity, collaboration, and problem solving.

Creating an international learning factory: designing an innovative, human-centered training environment that uses advanced digital technologies to enhance people’s skills and improve adaptability to industrial change.

Raising awareness of the pillars of human-centric skills: spreading awareness and a culture of people-centric work to strengthen individual empowerment, social inclusion, and psychological safety in industrial production contexts.

Benefits for companies

Empowering operators: using design thinking to improve mutual understanding between managers and employees and enhance decision-making skills in innovative contexts.

Greater inclusion in the production process: active involvement of operators in the design and production phases, valuing their contribution.

Improved psychological safety: using digital technologies to create more emotionally and relationally safe work environments.

Skills development through advanced technologies: promoting the use of augmented/virtual reality (AR/VR) and collaborative robotics to enhance human skills in the manufacturing sector.

Impact

Ecosystems for innovation, entrepreneurship, and business transformation;

Skilled workforce and student involvement;

Innovation to increase competitiveness and strengthen resilience;

The role of MADE4.0

Activity management;

Guide the learning experience;

Delivery and evaluation of the learning experience.

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