DMaaST Mission
In an era where data is king, the DMaaST (Innovative modelling and assessment capabilities through MaaS for Manufacturing Ecosystem Resiliency) project stands at the forefront of innovation, aiming to revolutionise the manufacturing sector by enhancing resilience, sustainability, and adaptability.
As global supply chains face unprecedented challenges, DMaaST offers a groundbreaking solution that integrates cutting-edge technologies to enhance the manufacturing ecosystem’s resiliency and capability of self-adaptation in response of external events and ensure manufacturing industries can thrive.
DMaaST is not just a project; it is a vision for the future of manufacturing. By combining innovative technologies and a commitment to sustainability, we are paving the way for a more resilient, efficient, and sustainable manufacturing industry.
objectives
The primary objective of DMaaST is to bolster the resilience of manufacturing value networks.
More specifically, DMaaST aims to:
- Anticipate and enhance the understanding of unforeseen events’ impacts in the production
- Boost the transition to MaaS
- Implement a sustainable, circular and human centred approach within assessment
- Enhance value-chains’ responsiveness and resiliency to varying events
- Enable trusted and secure cross-organisation real-time data integration
- Promote the MaaS, and project’s modules and platform within the manufacturing industries
Methodology
Our mission is achieved through a Smart Manufacturing Platform (SMAP) structured into four distinct layers, each strategically designed to tackle key challenges within the manufacturing ecosystem:
Sustainability Assessment Module (SAM):
In order to achieve an easy-to-use platform, a human-centred approach will be used, aiming at developing interfaces that display information clearly and concisely using diagrams, graphics, and other appropriate visual aids. In addition to displaying information, the interfaces will allow the user to select targets for optimisation, monitor system performance, and receive alerts when necessary.
Multi-Objective Distributed Decision Support System (MO-DDSS)
Our self-adaptable MO-DDSS empowers industries to respond efficiently to potential threats while optimising production across various objectives including logistics, customer satisfaction, and business performance. This layer guarantees resilient outputs even under suboptimal conditions.
Cognitive Digital Twins (CDT):
We employ CDT to model the manufacturing ecosystems of disrupted sectors such as aeronautics and electronics. This innovative concept enhances the reliability of manufacturing processes, allowing industries to better anticipate and mitigate the impacts of unforeseen events.
Decentralized Knowledge Graph (DKG)
DMaaST utilizes DKG to facilitate the interoperability, exploitation, and understanding of data across organisations. By implementing standard-based ontologies, we ensure seamless data integration and secure, real-time data sharing via blockchain-based data pipelines.
Ensuring the Path to TRL6
DMaaST will enable a seamless and efficient transition from Technology Readiness Level (TRL) 3 to TRL6, within 4 years, using a 4-step process:
STAGE 0 [M1-M8]
Consolidate TRL3. Proof of concept consolidation, team alignment, data scrapping, specifications definition, technical planning.
STAGE 1 [M8-M24]
Reach and consolidate TRL4. Main development of the innovations pillars.
STAGE 2 [M24-M36]
Reach and consolidate TRL5. Adapt the technologies to the use-cases scenarios and validation.
STAGE 3 [M36-M48]
Reach and consolidate TRL6. Technolgies Demonstration on real scenarios.
Our Partners
DMaaST is a multidisciplinary project that bridges a range of specialised fields, addressing the complex modelling, extensive data processing, and unique terminologies inherent to each area of expertise. This ambitious effort brings together a diverse group of experienced partners from Europe and beyond, working collaboratively to integrate knowledge and resources effectively.
The project’s success is rooted in strong European coordination, close partner cooperation, and seamless interaction across activities. These principles enable researchers to concentrate their expertise on driving the transformation of the manufacturing ecosystem, promoting a transition toward Manufacturing as a Service (MaaS) through innovative DMaaST solutions. With a special emphasis on supporting SMEs, the project opens up growth opportunities in a rapidly evolving, technology-driven environment, ensuring they can adapt and thrive.
DMAAST contributing to the European Industrial
Policy and a Circular Economy
Made in europe
DMaaST ambition contributes to the particular goals of the Made in Europe Roadmap 2021-2027, providing a keen solution for sustainable, digital, green, resilient and human- centric competitive manufacturing in Europe. Digitalisation and new technologies offer significant opportunities for innovation and transformation, with emerging business models such as MaaS driving change. In this context, DMaaST will demonstrate the potential of MaaS proposed in two relevant environments from different sectors (electronics and aeronautics), both facing resilience and agility problems due to their high and variable production demand.
A CIRCULAR ECONOMY
DMaaST is committed to the advancement of a circular economy, integrating the latest sustainability and circularity assessment techniques, promoting sustainable and circular-centric technologies. DMaaST accounts for the traceability of products and identifies opportunities for sustainable practices within the manufacturing value chain. This approach aligns with the EU’s goals of achieving climate-neutral manufacturing.
