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Engineering Performance Optimization    
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As advanced technology continues to evolve and the geometry keeps shrinking, the need for tighter process control has become extremely challenging for manufacturing. TSMC's unique manufacturing infrastructure is tailored for a diversified product portfolio, which uses strict process control to attain tightened specs and higher product quality and product performance requirements. To achieve overall optimization of equipment, process and yield, the process control and analysis systems have been integrated with many intelligent functions to perform self-diagnosis and self-reaction, which have demonstrated remarkable results in yield enhancement, workflow improvement, fault detection, cost reduction and shortening of the R&D cycle.

TSMC has developed systems for precise fault detection and classification, intelligent advanced equipment control and intelligent advanced process control to monitor the manufacturing process in a timely manner and adjust conditions precisely. To satisfy advanced and accurate process control and ensure highly efficient and effective production, the Company has created precision equipment matching and yield mining to minimize process variation and potential yield loss. The Company has further developed Big Data, Machine Learning, and Artificial Intelligence architecture to identify critical variables to optimize yield management and operating efficiency to fulfill special process requirements such as automotive products and to cope with diversified product demand simultaneously.

TSMC May 2019 Revenue Report(2019/06/10)
TSMC Research Highlighted at 2019 Symposia on VLSI Technology & Circuits(2019/06/06)
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