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Resolve lot cycle time prediction problems with SmartFactory AI Productivity

Built on top of our APF platform, SmartFactory AI Productivity is faster, easier, and improves model accuracy from 75% to 95%.


Maintain your leading edge by resolving lot cycle time prediction problems. With SmartFactory AI Productivity, our customers are achieving more accurate predictions and improving their order-to-delivery rates. SmartFactory AI Productivity will help with visibility of up-and-downstream productivity and supply chain management challenges.

With statistical and simulation models, constant monitoring is required and cannot represent real-time dynamics, resulting in diminished accuracy. Our prediction ML model will train on factory and data history and run based on schedules, including hourly, daily, or by shift, and learn lot flow and current fab behavior of the entire production cycle. With ML automatic retraining, model accuracy can improve from 75% to 95%.

This level of accuracy will be maintained without human intervention. And the approximate 10% accuracy improvement includes a 2% on-time delivery rate increase and 2% inventory maintenance cost reduction. Built easily on top of your current APF platform, Applied SmartFactory AI Productivity is not only a faster, easier, and more accurate solution for all prediction challenges, but a game changer for the industry.

About the Author

Picture of SmartFactory Automation Solution Experts Team
SmartFactory Automation Solution Experts Team
The Applied SmartFactory® automation solution experts team develops integrated automation solutions for semiconductor manufacturers to improve the performance of factories. From implementing a manufacturing execution system that advances collaboration and automation, to integrating AI/ML technologies for faster decision making, SmartFactory automation solutions enable manufacturers to prioritize quality and reliability across every stage of the manufacturing process.