Outlier Detection for Quality Improvement in Semiconductor Testing

Discover how outlier detection with wafer maps, stacked wafer map analysis, and die genealogy data helps semiconductor manufacturers improve quality and yield.

In the highly competitive semiconductor industry, ensuring high-quality products is crucial to maintaining customer satisfaction and gaining a competitive edge. Outlier detection is a powerful tool that can be used to identify and address issues with product quality. yieldWerx yield management system provides advanced outlier detection capabilities using wafer maps, stacked wafer map analysis, and die genealogy data.

Outlier Detection Using Wafer Maps

Wafer maps provide a visual representation of the location of failures on a wafer. yieldWerx uses advanced analytics algorithms to analyze wafer maps and identify outliers that may indicate systematic errors in the manufacturing process. By identifying the root cause of failures, manufacturers can take targeted actions to improve product quality and yield.

Stacked Wafer Map Analysis

Stacked wafer map analysis is a technique used to identify hotspots and patterns of failing die across multiple wafers. This method involves aligning multiple wafer maps and stacking them on top of each other to identify common patterns or clusters of failing die. yieldWerx uses advanced algorithms to identify the causes of hotspots and patterns of failures and provides valuable insights into the semiconductor manufacturing process.

Die Genealogy Data

Die genealogy data includes information about pass and fail outcomes, parametric data, and wafer and lot identification. yieldWerx uses die genealogy data to trace the genealogy of each die and identify any patterns or trends that may indicate issues with the manufacturing process. By analyzing die genealogy data, manufacturers can gain valuable insights into the causes of failures and take appropriate actions to address them.

In conclusion, outlier detection using wafer maps, stacked wafer map analysis, and die genealogy data is an essential tool for semiconductor manufacturers to improve quality and yield. yieldWerx provides advanced analytics and visualization tools to help manufacturers identify and address issues with product quality. By using yieldWerx, manufacturers can gain valuable insights into the manufacturing process and take precise actions to improve product quality and yield.

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PTC

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PTC is a semiconductor consulting firm based in Malaysia, providing strategic and technical consulting services to semiconductor manufacturing, assembly, test, product and ecosystem companies across Asia. yieldWerx, a leading innovator in semiconductor yield management solutions, and PTC, a premier Malaysia-based consulting firm for the semiconductor manufacturing industry, have announced a strategic collaboration to address the growing need for comprehensive data analytics across the semiconductor manufacturing lifecycle in the rapidly expanding markets of Malaysia and India.
This collaboration combines yieldWerx’s state-of-the-art analytics platform with PTC’s extensive industry knowledge and regional presence to strengthen semiconductor manufacturing capabilities across East Asia. By providing sophisticated analytics solutions tailored to regional needs, yieldWerx and PTC aim to streamline factory setup and operations, implement rigorous quality assurance protocols, and accelerate the development of sustainable semiconductor ecosystems across both countries. PTC will act as the regional consulting partner, offering advisory, deployment support, and strategic integration services to fabless clients, OSAT facilities, and manufacturing startups adopting the platform.