ENBIS-18 in Nancy

2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018

Monitoring Correlated Multivariate Processes in Stages

5 September 2018, 11:30 – 11:50

Abstract

Submitted by
Paulo Maranhão
Authors
Paulo Maranhão (Military Institute of Engineering), Ana Karoline Borges Carneiro (Military Institute of Engineering), Josiane Silva de Jesus (Military Institute of Engineering)
Abstract
Currently, a significant part of the processes occur in stages. Thus, modeling and monitoring the transmission of variation in multi-stage processes is a key strategy to reduce production variation and therefore reduce process costs. Many researches have been devoted to the study of models that can capture how the variability of an initial stage to a subsequent stage occurs, both in univariate processes and in the multivariate field. However, few studies explore the issue of monitoring the transmission of variability, especially in multivariate processes. In this way, the main idea of this work is to analyze which control schemes would be most effective to monitor the propagation of variance in correlated multivariate processes in stages.

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