Automatic discovery of the root causes for quality drift in high dimensionality manufacturing processes

A new technique for finding the root cause for problems in a manufacturing process is presented. The new technique is designated to continuously and automatically detect quality drifts on various manufacturing processes and then induce the common root cause. The proposed technique consists of a fast, incremental algorithm that can process extremely high dimensional data and handle more than one root-cause at the same time. Application of such a methodology consists of anon-linemachine learning system that investigates and monitors the behavior of manufacturing product routes.