Transcript
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.
