Watch this video to see a step-by-step tutorial on how Intraratio's RunCard and DataCard can help with product binning.

In the complex world of semiconductor manufacturing, not all chips are created equal. Even from the same wafer, variations in performance can occur due to factors such as material impurities, temperature fluctuations, and equipment tolerances. The industry relies on a process known as product binning to categorize and sort these chips based on their specific performance metrics,  such as clock speed, power consumption, thermal characteristics, and other operational parameters.

Intraratio's powerful MES and YMS solutions,  RunCard and DataCard, are critical in streamlining and optimizing product binning. These advanced tools automate data collection, analysis, and storage, ensuring accurate classification and efficient management of semiconductor chips.

How RunCard and DataCard Enhance Product Binning

1. Data Collection and Analysis
Testing equipment captures real-time data, and each chip's performance metrics are analyzed in detail. Precise bin assignments are made based on predefined criteria.

2. Automated Binning Process:
Streamlined classification is achieved using predefined thresholds, and color-coded visual markers facilitate easy identification. Automated wafer holds and rerouting based on bin status ensure efficient workflow.

3. Traceability and Reporting
Comprehensive tracking of each chip's performance and bin assignment is maintained. Detailed wafer reports, distribution patterns, and wafer maps provide valuable insights. Informed decision-making for inventory management, pricing, and customer allocation is enabled.

4. Inventory and Workflow Management:
Binned chips are efficiently routed to appropriate processes. Real-time inventory updates optimize supply chain operations and maintain accurate stock levels for different product categories.

5. Quality Control:
Bin status is monitored, performance outliers are detected, compliance is ensured, and deviations are flagged. Yield-impacting variations are tracked to improve overall production quality.

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