This article presents a modernized yield management system (YMS) for semiconductors, developed by AWS and Deloitte, addressing complex manufacturing challenges through cloud-based data analytics and integration.

• Semiconductor yield management now requires data beyond conventional test data, including design, equipment, and environmental information
• Modern YMS must handle diverse data types: structured, unstructured, real-time streaming, and simulated data
• Six critical capabilities: end-to-end data coverage, extensive data type handling, scalable management, advanced analytics, modernized platform, enterprise integration
• AWS services enable architecture: Lake Formation for data lakes, Glue for ETL, SageMaker for ML, Athena for queries, QuickSight for dashboards
• Machine learning and AI services like Lookout for Vision and Equipment support anomaly detection and predictive maintenance
• YMS democratizes yield data access across enterprise, improving time-to-production and enabling informed business decisions

The modernized YMS transforms semiconductor yield management from reactive testing to proactive, data-driven optimization across the entire supply chain.