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Multivariate six sigma: A key improvement strategy in industry 4.0

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Multivariate six sigma: A key improvement strategy in industry 4.0

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Ferrer, A. (2021). Multivariate six sigma: A key improvement strategy in industry 4.0. Quality Engineering. 33(4):758-763. https://doi.org/10.1080/08982112.2021.1957481

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/189486

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Title: Multivariate six sigma: A key improvement strategy in industry 4.0
Author: Ferrer, Alberto
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Issued date:
Abstract:
[EN] This article aims to generate a reflection on the changes that need to be made in the Six Sigma strategy so that it continues to be a successful improvement strategy capable of facing the new challenges derived from ...[+]
Subjects: Big Data , Data science , Industry 4.0 , Multivariate statistics , Partial least squares regression (PLS) , Principal component analysis (PCA) , Six Sigma
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
Quality Engineering. (issn: 0898-2112 )
DOI: 10.1080/08982112.2021.1957481
Publisher:
Taylor & Francis
Publisher version: https://doi.org/10.1080/08982112.2021.1957481
Project ID:
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/
Thanks:
This research work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness under the project DP I2017-82896-C2-1-R.
Type: Artículo

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