Over the past months, the Smart Manufacturing & Sustainability Lab webinar series has brought together six leading European projects — RaRe², R3GROUP, Flex4Res, ACCURATE, AGILEHAND and CREDIT — for a three-step journey exploring the future of reconfigurable, collaborative and sustainable manufacturing. Designed as an open innovation arena, the series fostered dialogue among researchers, industrial stakeholders, and technology developers, creating a shared foundation for future collaboration across Europe’s manufacturing landscape.

Understanding Today’s Enabling Technologies
The first webinar focused on the technological backbone that can make production systems more flexible, resilient and capable of reacting rapidly to unexpected changes.
By analysing tools such as digital pipelines, Digital Twins, Asset Administration Shells, Data Spaces and rapid reconfiguration methods, participants gained a comprehensive overview of the state of the art in smart manufacturing.
This initial step allowed the community to map existing capabilities, understand how each project contributes to the ecosystem, and identify the technological building blocks needed to drive transformation.
Bringing Innovation into Real Industrial Processes
The second webinar shifted from technology to real-world application. Under the theme “Collaborative Ecosystems and Manufacturing as a Service,” projects showcased concrete use cases demonstrating how advanced solutions can be integrated within factories and supply chains.
Discussions explored how collaborative platforms, interoperable systems and cooperative business models can create value in interconnected manufacturing environments.
A key part of the session focused on scaling results from pilots to market, addressing practical barriers, potential business models, and the enabling conditions required for adoption.
This step provided clarity not only on what technologies exist, but how they can realistically enter industrial processes and generate measurable impact.
From Innovation to Sustainability and Long-Term Value
The third and final webinar expanded the perspective to a broader question: how can the combination of people, processes, and technologies foster truly sustainable industrial ecosystems?
This session explored the meaning of sustainability in practice — from circular approaches in supply chains to resource efficiency and responsible innovation.
Participants examined how digital tools such as AI, Digital Twins and Data Spaces can accelerate the transition toward sustainability, not just by optimizing processes but by enabling long-term, systemic change.
The discussion also underlined the role of people: building awareness, fostering collaboration and embedding a culture of responsibility are essential steps toward a resilient industrial future.
A Three-Stage Journey Toward a Responsible Manufacturing Future
Overall, the webinar series offered a progressive and coherent pathway:
- Step 1: Identify existing technologies capable of enabling reconfigurable and smarter production systems.
- Step 2: Understand how these technologies can be introduced into factories and market contexts, identifying challenges, synergies and opportunities.
- Step 3: Assess the sustainability benefits these solutions can generate once implemented — from efficiency gains to reduced resource consumption and more resilient manufacturing ecosystems.
This journey has allowed participants to co-define a shared roadmap, explore operational synergies and shape a collective vision for Europe’s next generation of manufacturing.
Looking Ahead
The Smart Manufacturing & Sustainability Lab series concludes with strengthened connections, clearer perspectives and a renewed commitment to building responsible, adaptive and sustainable industrial ecosystems.
The insights gathered over these three webinars will serve as valuable groundwork for future experimentation, collaboration and large-scale impact across Europe’s manufacturing community.
Recordings of all webinars are now available at the following link: https://www.youtube.com/@AI4Manufacturing

