DMaaST Kick-off Meeting in Seville

In a significant leap forward for the manufacturing sector, the DMaaST project has officially commenced in Sevilla, Spain. Gathering partners from across Europe, the project’s inaugural meeting took place on May 7-8, setting the stage for a transformative four-year journey. The DMaaST project is dedicated to enhancing the resilience of the manufacturing ecosystem through the integration of smart, innovative technologies.

With 12 key milestones laid out, the project promises to revolutionize the industry. We extend our heartfelt gratitude to our European partners, whose commitment and expertise are pivotal in shaping the future of manufacturing. Join us as we embark on this exciting venture, where collaboration and innovation meet to redefine possibilities.

DMAAST: Innovative modelling and assessment capabilities through Manufacturing as a Service (MaaS) for manufacturing ecosystem resiliency.

DMaaST aims to enhance the manufacturing ecosystem’s resiliency and capability of self-adaptation in response to external events. It is achieved through a Smart Manufacturing Platform comprising four layers:

• The data layer establishes a foundation for mapping manufacturing ecosystem information using ontologies and decentralized knowledge graphs, ensuring a trusted cross-organization realtime data integration.
• A layer with a two-level cognitive digital twin is created, with the low-level DT modelling two use cases’ manufacturing services production line; and the high-level DT modelling the main stages of use-cases’ sectors value chains. The resulting DTs will use human expertise-knowledge, data-driven algorithms and physical modelling to provide a reliable and robust DT of the manufacturing ecosystem.
• The next layer employs the data and modelling layer’s information to present a multi-objective distributed decision support system algorithm combining multi-objective techniques and the latest trends in Federated Deep Learning. This makes DTs actionable models and provides the necessary information to make optimal production decisions.
• A final layer focuses on presenting the information in a user-friendly manner with timely scoreboards.