Semiconductor production equipment companies are transforming their platforms to meet the demands of advanced nodes, heterogeneous integration, and data-driven manufacturing. These demands are driving tighter tolerances, faster cycle times, and greater system intelligence. MATLAB and Simulink support this transformation across Wafer Fab Equipment (WFE) and Assembly, Testing, and Packaging (ATP) workflows through four strategic capabilities:
- Model and simulate complex mechatronic systems
- Design advanced control systems for precision and speed
- Apply AI and data analytics for recipe development, process optimization, and predictive maintenance
- Automate inspection and metrology workflows for defect detection and yield improvement
These capabilities help reduce development time, improve product quality, and accelerate time-to-market.
Using MATLAB and Simulink for WFE and ATP System Development
Mechatronic System Development
WFE and ATP systems increasingly integrate high-precision mechatronics—such as wafer bonding, die placement, and thermal control.
MATLAB and Simulink support Model-Based Design from concept to deployment and enable virtual prototyping, system integration, and digital twin creation:
- System-level modeling using Simulink and Simscape
- CAD integration and multibody simulation
- Thermal, fluid, and electrical domain modeling
- Digital twin development for predictive analysis
- Embedded code generation for deployment
Customer Stories
Advanced Controls: Intelligent and Adaptive System Performance
The drive for miniaturization and higher throughput in semiconductor manufacturing places immense pressure on control systems. Traditional control methods often fall short in addressing the extreme precision, dynamic nature, and complex multivariable interactions inherent in modern semiconductor equipment. Engineers can use MATLAB and Simulink to develop advanced control strategies, increasingly augmented by artificial intelligence:
- Adaptive control and disturbance rejection
- Reinforcement learning for intelligent control
- Real-time simulation and hardware-in-the-loop testing
- Automatic code generation for embedded deployment
AI and Data Analytics for Optimization: Maximizing Yield and Operational Efficiency
Modern semiconductor manufacturing involves hundreds of precise steps, each producing massive amounts of data. Extracting useful insights from this data is essential for improving quality and lowering costs. Due to the sheer scale and complexity, engineers must use advanced analytics and AI techniques, such as:
- Data preprocessing and feature engineering
- Machine learning and deep learning model development
- Predictive maintenance and remaining useful life (RUL) estimation
- Virtual sensors and real-time monitoring
- Deployment to edge, embedded systems, and cloud platforms
Inspection and Metrology: Ensuring Flawless Quality and Precision Measurement
Next-generation WFE and ATP platforms require advanced inspection and metrology solutions to address sub-micron interconnects, 3D stacking, and defect detection. MATLAB and Simulink provide engineers with a comprehensive suite of tools for image processing, computer vision, and signal processing, which are foundational for high-precision measurement and defect detection systems.
With MATLAB and Simulink products, engineers can perform:
- Defect Detection: Automated optical and electron beam inspection.
- Metrology Automation: Real-time data acquisition and analysis.
- Edge Deployment: AI models deployed to embedded systems.
- Data Fusion: Combining visual and electronic signals for enhanced accuracy.
Products
Learn about the products used for WEF and ATP applications.
