MaaSiveTwin
MAnufacturing as a Service and Supply chain predictIVE Twin for critical raw materials
The ambitious goal of MaaSiveTwin is to develop an initial demonstrator functioning as a MaaS platform, enabling the key players dependent on CRM to make early decisions to address supply chain disruptions promptly.
This solution aims to provide accurate predictions for price fluctuations, demand mismatches, and supply chain risks, supporting decision-making and sustainability reporting, as well as to enhance forecasting accuracy and resilience for supply chain dynamics, leveraging data and employing different modelling techniques.
MaaSive Twin objectives:
Digital twin assistant to enable sustainable manufacturing by identifying and tracking key factors (critical raw material supply, production capacity, demand, policies on tariff and ethics, unforeseen events such as war, technology adaptation and natural disaster).
Modelling of current manufacturing bottlenecks and prediction of near to long term supply demand shortages and/or risks.
·Dashboard to allow reaction and mitigation measures for factories to prevent down-time and enable MaaS to increase utilisation of CRM refinery.
Funding Acknowledgment
This project has received funding from the Horizon Europe programme under the Grant Agreement No. 101138342.