7th Annual International Conference on Industrial Engineering and Operations Management

Application of a neural network to classify the out-of-control signal that gives the T2 multivariate graph of Hotelling using data obtained in the industry

GUSTAVO CAMPOS-AVENDANO & GERARDO AVENDANO
Publisher: IEOM Society International
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Track: Quality Control and Management
Abstract

In the development of industrial processes there are situations where it is necessary to control or simultaneously monitor two or more quality variables of the production process. 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 control chart Hotelling’s T2 using real data obtained from the industry.

In the present research work the implementation of the control chart Hotelling’s T2 in the industrial field is carried out and a real multivariate case is analyzed with quality variables.

Published in: 7th Annual International Conference on Industrial Engineering and Operations Management, Rabat, Morocco

Publisher: IEOM Society International
Date of Conference: April 11-13, 2017

ISBN: 978-0-9855497-6-3
ISSN/E-ISSN: 2169-8767