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Multivariate Six Sigma: A Case Study in Industry 4.0

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Multivariate Six Sigma: A Case Study in Industry 4.0

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Palací-López, D.; Borràs-Ferrís, J.; Da Silva De Oliveria, LT.; Ferrer, A. (2020). Multivariate Six Sigma: A Case Study in Industry 4.0. Processes. 8(9):1-20. https://doi.org/10.3390/pr8091119

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Título: Multivariate Six Sigma: A Case Study in Industry 4.0
Autor: Palací-López, Daniel Borràs-Ferrís, Joan da Silva de Oliveria, Larissa Thaise Ferrer, Alberto
Entidad UPV: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Fecha difusión:
Resumen:
[EN] The complex data characteristics collected in Industry 4.0 cannot be efficiently handled by classical Six Sigma statistical toolkit based mainly in least squares techniques. This may refrain people from using Six Sigma ...[+]
Palabras clave: Six Sigma , Industry 4.0 , Multivariate data analysis , Latent variables models , PCA , PLS
Derechos de uso: Reconocimiento (by)
Fuente:
Processes. (eissn: 2227-9717 )
DOI: 10.3390/pr8091119
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/pr8091119
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-82896-C2-1-R/ES/DISEÑO, CARACTERIZACION Y AJUSTE OPTIMO DE BIOCIRCUITOS SINTETICOS PARA BIOPRODUCCION CON CONTROL DE CARGA METABOLICA/
Tipo: Artículo

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