AND Breakout-Sessions
Breakout: Ensuring Data Integrity in Semiconductor Manufacturing to Unlock the Power of Automation, Digital Twin and AI
In semiconductor manufacturing, the effectiveness of automation, digital twins and AI is highly dependent on the quality of the data they rely on. Poor data quality can lead to production errors, inefficiencies, and non-compliance – challenges that even advanced systems struggle to overcome without clean, reliable data. This breakout session, hosted by SYSTEMA, will explore the critical role of data integrity and data management in preventing the “garbage in, garbage out” (GIGO) problem.
The session will provide practical insights into maintaining robust data management, with guidance on proactively validating data, improving traceability, and preparing systems for the future of AI-driven automation. Attendees will gain a structured approach to ensuring data integrity in an increasingly complex, data-driven industry.
We will discuss real-world examples of how Advanced Planning and Scheduling (APS) solutions can leverage event-driven architecture and real-time data readiness to support complete line- or fab-wide schedules, predictive manufacturing, and forecasting for bottleneck and/or delivery date prediction. Join us to learn how maintaining seamless data flow is not just a technical requirement but a fundamental step toward unlocking the full potential.