Machine Learning Use Cases for Smart Manufacturing KPIs

In this paper, we present methods for prediction of key performance indicators relating to a manufacturing environment. This work represents a current snapshot of machine learning methods that are being used to provide actionable insight into events that may affect the following three indicators: number of units produced, number of defects per unit, and amount of rework time per defect.