Unsupervised Machine Learning for Process Optimization
Unsupervised learning techniques are gaining traction in industrial applications due to the increasing volume of unlabeled data in manufacturing environments. This study explores whether such methods can help address two inefficiencies identified in a cheese production process: Uncovering hidden operational modes related to machine performance through clustering and detecting one-off anomalies tha
