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AI APC For Manufacturing

Advanced Process Control (APC) in Semiconductor Manufacturing

Predicting and Preventing Process Drift with Deep Learning

AI APC For Manufacturing

Introduction to

Advanced Process Control

Advanced Process Control (APC) systems are crucial for managing the complex variables in semiconductor manufacturing. These systems harness AI and machine learning (ML) to predict and adjust for process deviations, ensuring that chip fabrication remains within specified parameters, thereby enhancing yield and reducing defects.

Real-Time Drift Prediction and Management

Real-Time Drift Prediction and Management

APC systems use machine learning algorithms to monitor process parameters continuously. By predicting deviations before they manifest as defects, these systems allow for preemptive adjustments, maintaining the stability and consistency of semiconductor processes.
Integration with Smart Manufacturing Systems

Integration with Smart Manufacturing Systems

Modern APC integrates seamlessly with smart manufacturing systems, utilizing real-time data from myriad sensors across the fab. This integration supports dynamic adjustments based on comprehensive data analytics, optimizing the entire manufacturing process.
Statistical Process Control Enhancements

Statistical Process Control Enhancements

Leveraging ML, APC systems enhance traditional Statistical Process Control (SPC) techniques. These systems process vast amounts of data to identify and react to statistical outliers, ensuring processes remain within upper and lower control limits.
Deep Learning Based Environment Emulation and Virtual Metrology

Deep Learning Based Environment Emulation and Virtual Metrology

Utilizing our APC solution gives you the ability to emulate your physical system through a complex, yet real-time deep learning model, allowing you to estimate important metrics pertaining to your product, even before processing it.
Proactive Equipment Maintenance

Proactive Equipment Maintenance

Through predictive maintenance capabilities, APC systems can forecast equipment failures before they occur, scheduling maintenance only when necessary to minimize disruption and extend the lifespan of manufacturing tools.

Impact of APC

on Manufacturing

The implementation of AI and ML within APC systems transforms reactive manufacturing approaches into proactive ones. This shift not only enhances the precision and efficiency of semiconductor fabrication but also significantly reduces the likelihood of costly errors and increases the overall equipment effectiveness (OEE). By predicting process drift and making real-time adjustments, APC systems help maintain the rigorous quality standards required for advanced semiconductor manufacturing.

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