Realizing AI’s potential in semiconductors manufacturing.
This whitepaper examines the transformative potential of Artificial Intelligence (AI) in semiconductor manufacturing, with a particular focus on strengthening Europe’s global competitiveness. A central theme is the need for a systematic transformation to address structural challenges such as high production costs and talent shortages. AI is presented as a key enabler, capable of boosting yield by up to 30%, reducing downtime, and unlocking new efficiencies across the value chain.
The paper explores practical applications and challenges, emphasizing the critical importance of establishing a robust Industrial Data Platform to break down data silos and support advanced AI use cases. Contributions from industry experts highlight how AI is reshaping core processes—from implementing sensor-level intelligence (Edge AI) for real-time fault detection to reimagining equipment integration through digital twins, and optimizing production scheduling and MES via intelligent decision platforms.
Chapter 6, authored by Critical Manufacturing CEO Francisco Almada Lobo, focuses on how AI is transforming Manufacturing Execution Systems (MES) into adaptive, intelligent decision platforms. It outlines a three-level approach to AI integration in MES: connecting IoT and data platforms, leveraging GenAI for context-aware insights, and deploying AI agents for self-optimizing operations.
The whitepaper covers the following topics:
Based on the bold vision of Artificial Intelligence as the catalyst for European industrial competitiveness, the white paper builds on SEMI EU Smart Manufacturing Community experience to provide concrete insights on the evolution of manufacturing.