Using Predictive Data Analytics in 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 our YieldWatchDog software enables our customers to:

+ detect and contain problematic production material   

+ detect “early warnings” of anomalies in production before they become a more serious issue

+ avoid shipment of potentially quality-compromised parts to customers

+ get deep insights into production data and discover hidden correlations

+ save engineering time and costs by enabling fast and easy access to data

With monitoring rules, our 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 we create the basis for applying our statistical and artificial intelligence algorithms to detect outliers, anomalies and abnormal data. We can then warn our users about impending production problems. This can be a simple e-mail to the responsible engineer, or, with deeper integration with the production systems, we can also automatically stop certain equipment.

DR YIELD is a highly innovative company with a research quota of 27%. Over the past 16 years, we 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.

Our 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. We know that the pharmaceutical, photovoltaics, automotive parts industries, and especially battery manufacturers all have data that are similarly structured to microchip manufacturing. Our algorithms detect anomalies in all kinds of numerical data.

Thus, your high-volume manufacturing data contains valuable information that with our analysis software can predict failures and increase production efficiency. We encourage you to keep digging for gold in your data!