1st South American International Conference on Industrial Engineering and Operations Management

Application of a neural network to classify the out-of-control signal given by the multivariate Generalized Variance |S| control chart using real industry data.

Gerardo Avendano
Publisher: IEOM Society International
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Track: Quality Control and Management
Abstract

Quality control techniques in the industry are used to detect changes in process dispersion, but it is necessary to monitor two or more quality variables simultaneously. The problems of process monitoring where several related variables are studied can be controlled by means of multivariate control charts. The objective of this work is to describe the implementation of the multivariate. Generalized Variance |S| control chart using real data obtained from the industry.

In the present research work the implementation of the multivariate Generalized Variance |S| control chart in the industrial field is carried out and a real multivariate case is analyzed with quality variables.

Published in: 1st South American International Conference on Industrial Engineering and Operations Management, Bogota, Colombia

Publisher: IEOM Society International
Date of Conference: October 25-26, 2017

ISBN: 978-1-5323-5943-9
ISSN/E-ISSN: 2169-8767