yieldWerx Enables Azoteq to Achieve Up to 98% Yield, & Ramp Products Faster

yieldWerx enables azoteq to achieve up to 98% yield, & ramp products faster – yieldWerx, a leading provider of yield management
semiconductor solutions, has deployed yieldWerx at Azoteq (Pty) Ltd to streamline test and yield management processes, enabling Azoteq to achieve up to 98% yield, and ramp products to market faster.

Azoteq (Pty) Ltd (www.azoteq.com) is the world leader in proximity and touch solutions for switches, sliders, scroll wheels and touch screens in consumer and industrial applications. Capacitive proximity and touch applications include: SAR detection for tablets, miniature touchpads for remote controls, keypads for security systems and keys/sliders/scroll wheels for appliances.

Azoteq was previously just storing test data in excel files, and not analyzing test data properly or generating any reports that could help with root cause analysis and yield management. Data was stored manually, which was not only time consuming, but also a daunting task that hampereds engineer productivity, and shifted focus from high value activities. Azoteq has been historically processing over 40 million devices per year, with an average yield of 93% at wafer sort stage, and 95% at final test stage. Their goal was to achieve 95% yield at the wafer sort stage and 98% yield at the final test stage. However, because of the lack of a powerful yield management system, the engineering team was unable to pinpoint inefficiencies and issues that were impacting yield and affecting product ramp-up timelines.

Azoteq processes around 20,000 dies per day, and generating new test data of around 1GB in volume, of significant yield dependencies. This data is coming from several test houses, foundries, and assembly and test sites. Previously with their old practice, they were unable to handle data of this volume, velocity and variety, and they chose to deploy yield management system. yieldWerx was selected after a careful selection process, and now enables Azoteq to undertake detailed analytics. The real-time data management capabilities of yieldWerx has helped them in improving the engineering productivity at the same time. Around 10-15 engineers at Azoteq uses yieldWerx every day to perform yield analysis by looking at yield trends, bin histograms to see which bins are failing the most, parametric histogram and other reports that can be exported and analyzed to find the root cause that impacts yield and creates operational inefficiencies in the supply chain.