DMaaST
Innovative Modelling & Assessment Capabilities Through MaaS For Manufacturing Ecosystem Resiliency
In few words...
DMaaST boosts manufacturing’s resilience by fusing four smart layers in one platform:
Decentralised Knowledge Graph
A Decentralised Knowledge Graph that streams trusted, cross-company data in real time
Cognitive Digital Twins
Cognitive Digital Twins that model both shop-floor lines and whole value chains
Multi-Objective Decision-Support
An AI-powered Multi-Objective Decision-Support layer that turns those twins into optimal, data-driven actions
Sustainability Module
A user-friendly Sustainability Module that shows live circularity scores and Digital Product Passport traceability. Together they let factories anticipate shocks, adapt instantly and cut waste
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.
DMaaST will revolutionise the manufacturing industry by enabling reliable cross-organisation communication, enhancing the value chain’s responsiveness to unforeseen events and optimising production planning.
Given current geopolitical tensions, climate change, and COVID-19, it is increasingly apparent that manufacturers need a dynamic system to understand the responsiveness of their manufacturing ecosystems.
I believe this project is very important for the advancement of sustainable and efficient manufacturing by introducing innovative technology and enhancing industry resilience responsibly.
DMaaST aims to enhance manufacturing ecosystem resilience and adaptability by utilising OriginTrail Decentralised Knowledge Graph and Knowledge Assets to encapsulate vital product, process, facility, and expertise data.
A lack of reliable communication within the manufacturing sector impedes both incident prevention and responsiveness to unexpected events. Using OriginTrail DKG, holds the promise of establishing a trusted knowledge foundation.
At JPB Système, we lack an overall production vision, which hinders our ability to react quickly to external conditions. DMaaST will help us better understand our global system and make informed decisions to reduce stock.
Both internally and externally, DMaaST is all about communication and improving the value chain’s integration and making sure all partners and potential stakeholders can benefits from the results of the project.
To improve decision support and efficiency, we develop methodologies and algorithms as well as create cognitive Digital Twins that incorporate a double level perspective including manufacturing services and value chain stages.
Our contribution to the European Industrial Policy and a Circular Economy
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.
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.
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