Quality Monitoring - Case Study: Anomaly Detection on Quality Measurements

Reducing downtime and maintenance costs are important in avoiding costly waste and improving product quality. Pinpointing pain points in processes and from that knowing which batches to inspect are first steps to achieve this.

During this session, we cover a case study on anomaly detection on quality measurements, from the initial context and data all the way to the identification of the root cause of the anomaly detection results. In such, it can be seen as a hands-on application of TIM’s root cause analysis features covered during a previous Time for Time Series.

 

 

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Time for Time Series dives into specific features and looks at general functionalities in TIM, as well as covering many topics related to time-series analysis. We welcome everyone, from managers to data scientists, to get to know TIM and to ask your questions to our experts during the live Q&A.