advanced statistical process control
Best practices for quality excellence
Do things right, the first time
To ensure continuous high product quality in modern high-tech manufacturing, the traditional Statistical Process Control (SPC) is no longer enough to manage the complexities and the increasing amount of data collected. To be competitive, companies have to ensure that the best quality is achieved at a competitive price, so making things right the first time becomes the motto of production.
With Advanced Statistical Process Control (SPC), the focus is on filtering the essential information out of all production process data, which empowers people to make decisions and take required actions faster. This entails not only hundreds of thousands of active control charts but also effective escalation strategies, trouble shooting guides, executable OOC (Out of Control) workflows and much more.
De facto standard in high-tech manufacturing
Open system for advanced data analytics
The flexible integration with other applications supports exploratory data analysis, regression studies or the incorporation of deep learning strategies.
Access the analyses anytime
A comprehensive database of all process and measurement data as well as extensively featured control charts are available for in-depth and retrospective root cause analyses.
Ensure continuous quality improvements
Rule-based automation and implementation of standardized quality process ensure high confidence level to ensure the right decisions and the best possible conditions for quality improvements.
Enjoy automated reports
Cyclically recurring reporting tasks such as the provisioning of Charts or KPIs can be configured and are automatically retrieved by the system.
Resources that might interest you
Making Better Decisions with Real-Time Insights
Predicting yield and detecting anomalies with Machine Learning