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Resilient Network Nodes – Digital Integration for Optimized Factory Operations

The future of semiconductor manufacturing is digital, connected, and resilient. Within the SEMICONDUCTOR-X project, Application Cluster 2 is building the foundation for a digital ecosystem that enables resilient network nodes across the semiconductor industry.

Cluster 2 develops innovative digital services and collaboration models that optimize operations and enhance quality in semiconductor production – demonstrated through 4 concrete use cases:

  1. Adaptive process control with the inclusion of consumables: By exchanging information on material properties and their impact on wafer processing, semiconductor manufacturers and material suppliers can adapt production processes to improve yield and better evaluate the impact of materials on the manufacturing process.
  2. SubFab Optimization: Aims to align sub-fab system control with cleanroom operations to enable energy savings and emission reductions through intelligent, decentralized control based on expert knowledge and real-time data.
  3. Capacity sharing between partners amid disruptions: Aims to enable sharing of capacities between different fabrication plants (Fabs), either within the same company or between different semiconductor companies, to enhance reliability and minimize the impact of disruptions by leveraging collective resources and expertise.
  4. Yield Improvement through data-driven external services: Aims to enable adaptive process control via exchange of data between semiconductor companies and AI service providers to help compensate for minor deviation in processes and improve the yield, allowing for more flexibility and potentially reducing the number of scrapped wafers in the manufacturing process of wafer layers.

In times of crisis, flexible integration ensures continued operations and delivery capability — making resource deployment more targeted and efficient. With Semicoductor-X, we are actively shaping the resilient and digitally connected semiconductor production of tomorrow.