A data-driven framework to deal with intrinsic variability of industrial processes: An application in the textile industry

Author:

Lajoie Patrice,Gaudreault Jonathan,Lehoux Nadia,Ali Maha Ben

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference22 articles.

1. Monitoring the Average and Variability in Multivariate Process;Chiu;J. of the Chinese Institute of Industrial Engineers,2007

2. An analysis of the Six Sigma DMAIC method from the perspective of problem solving;De Mast;Int. J. of Production Economics,2012

3. Monitoring multivariate process variability when sub-group size is small;Djauhari;Quality Engineering,2016

4. Machine learning techniques for quality control in high conformance manufacturing environment;Escobar;Advances in Mechanical Engineering,2018

5. Monitoring multivariate process variability via eigenvalues;Fan;Computers & Industrial Engineering,2017

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