YieldWatchDog: Predictive Data Analytics in Semiconductor Manufacturing
Data is said to be the gold of the 21st century, and predictive data analytics can help industrial manufacturers improve their efficiencies, quality, output and yield by identifying production issues very early on.
Using YieldWatchDog software enables customers to:
detect and contain problematic production material
detect “early warings” of anomalies in production before they become a more serious issue
avoid shipment of potentially quality-compromised parts to customers
get deepinsights into production data and discoer hidden correlations
save engineering time and costs by enabling fast and easy access to data
With monitoring rules, DRYEILD’s algorithms can predict failures based on early knowledge about deviations or anomalies in the data, essentially allowing manufacturers to act on early warning signs instead of re-acting to major manufacturing issues when it’s already too late – thereby avoiding costly production incidents. In addition, YieldWatchDog’s user-friendly data analysis capabilities provide further deep insights for production optimization.
By integrating all available data sources into one, highly-compressed database they create the basis for applying their statistical and artificial intelligence algorithms to detect outliers, anomalies and abnormal data. They can then warn their users about impending production problems. This can be a simple e-mail to the responsible engineer, or, with deeper integration with the production systems, they can also automatically stop certain equipment.
DR YIELD is a highly innovative company with a research quota of 27%. Over the past 16 years, they have developed data compression algorithms, statistical algorithms and pattern recognition methods to ensure the most thorough monitoring of production data in semiconductor and related high-tech, high-volume manufacturing, all with a very user-friendly and intuitive user interface.
Their yield management software was developed for the semiconductor industry but YieldWatchDog’s predictive data analysis may also uplift productivity in other industries that have similarly structured data. They know that the pharmaceutical, photovoltaics, automotive parts industries, and especially battery manufacturers all have data that are similarly structured to microchip manufacturing. DR Yield’s algorithms detect anomalies in all kinds of numerical data.
Thus, your high-volume manufacturing data contains valuable information that with their analysis software can predict failures and increase production efficiency. DR YIELD encourage’s you to keep digging for gold in your data!
DR YIELD software & solutions is a leading provider of yield management software in the silicon and compound semiconductor industry. With the smart solution YieldWatchDog and the latest addition YieldWatchDogXI DR YIELD offers a fast, flexible and innovative analytics software that can be perfectly integrated within the company’s manufacturing structures.
DR Yield Success:
DR YIELD’s YieldWatchDog (YWD) software allows one to quickly identify yield issues and correlate test results from WAT/PCM, Wafer/Die Sort and Final Assembly/test, all within one tool. Hundreds of world-wide customers use (YWD) to improve yields, reduce test times, and help to get products to market faster while improving the bottom line. Most importantly, performance does not get bogged down as the volume of data grows, so it remains fast at finding wafer signatures regardless of the number of wafers in the database.
We welcome the chance to show how YWD works and addresses challenges like these in a cost effective fashion:
Query efficiency and intelligent filtering of very large datasets
Tracking and correlation by substrate lot and fab lot when they are not uniquely mapped
Ability to quickly define and find wafer maps and test data signatures for failure mode tracking not tied to zonal regions
DR YIELD has made it easier and significantly less expensive for startup’s to implement and use the YWD software. Usually, this is defined by revenue, but we should be able to adapt some rule that covers volume of data in a given year and a certain number of active users, to be determined once per year.
So, as you grow and collect more and more data, you simply transition from the discounted “getting started” rate to the standard market rates based on the DR YIELD price list.
We look forward to hearing from you.
About E Test Reps:
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