Process Monitoring

Join us as we explore a practical use case and delve into a broader discussion on avoiding common pitfalls in statistical process monitoring. This virtual session will feature insightful presentations from two distinguished speakers.

Agenda

15.00 – 15.05 Welcome and introduction, Andreas Baum, Danish Chemometric Society 

15.05 – 15.35 Visual Inspection of tablets – from failure investigation to live prediction, Jacob Paduan, Senior Specialist, Solid Bulk Production, Lundbeck

During the course of a failure investigation, a previously unidentified data source was discovered. This source not only revealed previously hidden patterns but also enabled real-time prediction of a critical material attribute. The predictive capability facilitated the identification and subsequent elimination of the root cause of the failure.

15.35 – 16.05 Pitfalls in control charting and how to solve them, Per Vase, Senior Specialist, Manufacturing Intelligence, Novo Nordisk Engineering

To set control limits on individual observations right many conditions need to be fulfilled. Data must be normal distributed, and must be described by a single mean and one variance component. In addition a large historical data set is needed to minimize standard error on mean and especially standard deviation. If not all of these conditions are fulfilled, control limits can be very misleading. However, if you can describe your data set with a model, and calculate tolerance limits from this model, proper control limits can be calculated even though not all conditions are fulfilled.

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Organizer: The Danish Society of Engineers, IDA

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