ACCURATE use cases showcase how leading European manufacturers apply digital twins, decision support systems, and MaaS to build more resilient, efficient, and sustainable operations. From aerospace to automotive and electronics, each pilot addresses real-world challenges across complex production and supply networks.
AIRBUS Atlantic leads a pilot focused on enhancing the resilience and adaptability of aerostructure manufacturing for the A320 family. Through the integration of Digital Twin and Manufacturing-as-a-Service (MaaS) technologies, the pilot aims to address complex supply chain disruptions, late customer changes, and sustainability challenges. The demonstrator will enable dynamic reconfiguration of production and supply systems, improving lead times, decision-making, and on-time delivery performance across a global supplier network.
Continental’s Romanian plant showcases ACCURATE’s capabilities in enhancing operational efficiency and resilience across a complex automotive supply chain. The use case integrates horizontal and vertical optimization levers: automated dashboards centralizing supplier and customer data to support real-time decisions on material flow, and advanced planning-control systems to optimize job sequencing, resource assignment, and dispatching on the production line. By aligning procurement, production, and logistics, the pilot aims to reduce setup times, improve delivery performance, and cut logistic costs in a highly dynamic environment.
TRONICO leads a use case focused on enhancing production control and scheduling in high-mix, high-reliability electronics manufacturing. Operating with over 40,000 component references and facing frequent disruptions from shortages, obsolescence, and customer-driven changes, TRONICO is implementing a Digital Twin-enabled Decision Support System (DSS) to improve agility and resilience.
The use case integrates real-time production monitoring, automated scheduling, and scenario-based decision analytics to support dynamic resource allocation, reduce blocked orders, and improve on-time delivery. By transitioning from manual, infinite-capacity planning to a data-driven finite-capacity model, the pilot aims to reduce transform cycle times, optimize WIP, and increase visibility into shop floor operations. This transformation supports more efficient, responsive, and sustainable electronics manufacturing across complex internal value chains.
