ACCURATE
The European research project ACCURATE, which stands for Achieving Resilience Through Manufacturing as a Service, Digital Twins, and Ecosystems, focuses on improving the resilience, sustainability, and adaptability of manufacturing value chains.
The European research project ACCURATE, which stands for Achieving Resilience Through Manufacturing as a Service, Digital Twins, and Ecosystems, focuses on improving the resilience, sustainability, and adaptability of manufacturing value chains.
M4ESTRO
M4ESTRO Project aspires to create a reliable and transparent end-to-end platform using a Manufacturing as a Service (MaaS) approach to offer resilience and timely preparedness to the manufacturing industry during disruptive times.
M4ESTRO will define and implement a novel Smart and Trusted Network of Manufacturing Professionals who will be members that will form the base of the platform. The network will be capable of implementing effective reconfigurations for manufacturing value chains in response to disruptive events based on the MaaS concept. Project solutions will be validated via three representative industrial use-cases, namely:
- Manufacturing services for components in the aerospace and automotive sectors,
- Tool manufacturing for the aerospace sector
- Management of the Electronic Board’s value network
MAASive
MAASive is a research project focused on transforming manufacturing into a service-oriented ecosystem through Manufacturing-as-a-Service (MaaS). It aims to enhance value network resilience by enabling manufacturers to rapidly adapt to disruptions and shifts in supply and demand.
The project develops models to assess disruption impacts, optimize resource orchestration across organizations, and provide decision-makers with actionable insights. Key areas of focus include servitizing manufacturing resources, managing disruptions, facilitating connections, and enhancing value chain coordination. Using existing and new technologies and methodologies, MAASive aims to deliver an industry-focused toolkit to improve manufacturing resilience and coordination.
NARRATE
The NARRATE project addresses the growing complexity and risks in global supply chains by integrating advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Big Data, IoT, and Digital Twins to create the Intelligent Manufacturing Custodian (IMC). This system will provide end-to-end visibility, proactive decision-making, and real-time coordination across supply chains, transforming them into Smart Manufacturing Networks (SMNs) that can adapt to disruptions.
The project focuses on enhancing supply chain resilience through smarter data management, predictive capabilities, and automated workflows, while driving energy efficiency, sustainability, and circularity. Additionally, NARRATE aims to inform EU policies on AI-driven digital twins, ensuring ethical practices, privacy, security, and fostering international collaboration in the development of these technologies. Three pilots will demonstrate that the developments can be used in a wide variety of sectors. Pilot 1: Improving Automation & Supply-Chain Resilience in the Furniture Industry. Pilot 2: 3D Printing Network as-a-service to Improve Resilience & Mitigate Unexpected Disruptions. Pilot 3: Achieving Supply-Chain Resilience in the Semiconductor Industry.
Tech4MaaSEs
Tech4MaaSEs derives inspiration from industrial challenges, scientific inquiries, and societal needs. At its core, Tech4MaaSEs develops a network of Digital Twins that possess both trustworthiness and cognition, allowing them to work collaboratively within a distributed value network. This network of Digital Twins is a key enabler for Manufacturing-as-a-Service (MaaS), where production and manufacturing are offered as a service. Tec4MaaSEs provides a comprehensive DT-based framework for value networks, which enables greater resilience and sustainability across the entire value network with continuous evaluation and monitoring of performance through a multilevel balanced scorecard system. Highly configurable, the solution is able to respond to the varying supply and demand of individual stakeholders. This flexibility makes it possible to evaluate alternatives and react appropriately while improving the understanding of the impact of external disruptions.
The project will deliver innovative business models that ensure an adequate level of trust among the involved stakeholders, and flexible adaptation of production capabilities, sharing of resources and assets and coordination of individual value creation activities in the value network. A complementary Governance Framework improves oversight and control of the underlying industrial operations. Governance is declined along three dimensions: Business Governance, for operational and procedural aspects and applicable resource-sharing strategies. Data Governance, addressing confidentiality, data sharing polices, data authorization/ownership/ etc, and AI models governance – how human-centered centred-AI models ensure trustworthiness and AI explainability. The solution will be validated in three real value networks demonstrating the improved resilience and sustainability of the solution.