Efficient Process for Batch Analysis.

Identification of quality issues in batch production is relevant for stable and successful production. The identification of systematic quality issues and the identification of root causes is complex and challenging. Powerful multivariate statistical methods exist to perform batch analysis, yet their application is difficult due to data diversity and complexity in model training. Here, insights from data analysis projects on four batch plants are presented and real world challenges are reviewed. This leads to a semi‐automatic process for more efficient batch analysis overcoming the mentioned tedious tasks. [ABSTRACT FROM AUTHOR]