Manufacturing as a service and supply chain predictive twin for critical raw materials

The MaaSiveTwin project addresses the complex challenges associated with the production and logistics of critical raw materials (CRM) for clean energy technologies. With the increasing demand for CRMs driven by emerging technologies like rechargeable batteries and wind turbines, there is a pressing need to optimize supply chains, anticipate demand-supply mismatches, and ensure sustainable and transparent practices. Leveraging flexible manufacturing services, advanced digital tools and predictive analytics, the project seeks to develop a real-time monitoring and prediction platform capable of identifying and mitigating supply chain disruptions caused by various factors, including geopolitical events and policy changes.
The ambitious goal of MaaSiveTwin is to develop a digital twin of CRM supply chains that enhances the transparency in the supply chain and supports the key players in responding promptly to potential disruptions. This solution aims to provide accurate predictions of price fluctuations, supply-demand mismatches, sustainability indicators, and supply chain risks. By enabling the effective integration of Manufacturing-as-a-Service (MaaS) into CRM supply chains, it will foster efficiency and resilience gains. Moreover, the digital twin will support decision-making and sustainability reporting by leveraging data from multiple sources and employing advanced modelling techniques.
The Resilient and Sustainable Operations and Supply Chain Management Group of TUHH contributes their expertise in the sustainability assessment of products with global supply chains. As the leader of Work Package 2, they coordinate the supply chain tracking efforts of the project, covering upstream and downstream activities, sudden events, and sustainability aspects. In addition, TUHH contributes to the development of indicators and models for sustainability and risk assessment.

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