Multivariate Analysis for Main Quality Variable Control in Industry 4.0

Jorge M. de Souza, Fabrício Cristófani, Giovanni M. de Holanda

2022

Abstract

The T 2 Hotelling one-dimensional control chart representation points out the out-of-control samples but does not display how the secondary variables affects the primary ones considered the main quality variable. From the same depart, the CHI squared distribution, a 2nd degree equation is derived highlighting the main quality variable and its dependence on the secondary ones. This approach allows the identification of out-of-control points that affects quality and require some adjustment of the secondary variables and the out-of-quality points, which need an investigation of the root causes that lead to this undesirable output.

Paper Citation

in Harvard Style

M. de Souza J., Cristófani F. and M. de Holanda G. (2022). Multivariate Analysis for Main Quality Variable Control in Industry 4.0. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 266-272. DOI: 10.5220/0011921600003612

in Bibtex Style

@conference{isaic22,
author={Jorge M. de Souza and Fabrício Cristófani and Giovanni M. de Holanda},
title={Multivariate Analysis for Main Quality Variable Control in Industry 4.0},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={266-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011921600003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Multivariate Analysis for Main Quality Variable Control in Industry 4.0
SN - 978-989-758-622-4
AU - M. de Souza J.
AU - Cristófani F.
AU - M. de Holanda G.
PY - 2022
SP - 266
EP - 272
DO - 10.5220/0011921600003612
PB - SciTePress