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Journal of Intelligent Manufacturing

, Volume 23, Issue 5, pp 1915–1930 | Cite as

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

  • Lior RokachEmail author
  • Dan Hutter
Article

Abstract

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 an on-line machine learning system that investigates and monitors the behavior of manufacturing product routes.

Keywords

Automatic root cause discovery Data mining Failure analysis Concept drift Quality control Fault detection Yield improvement 

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Information Systems EngineeringBen-Gurion University of the NegevBeershebaIsrael

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