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Morales - Menendez Ruben (Dean Of Graduate Studies School Of Engineering And Sciences Tecnologico De Monterrey Mexico)
Morales - Menendez Ruben (Dean Of Graduate Studies School Of Engineering And Sciences Tecnologico De Monterrey Mexico) - Machine Learning In Manufacturing Quality 4.0 And The Zero Defects Vision - Paperback
Morales - Menendez Ruben (Dean Of Graduate Studies School Of Engineering And Sciences Tecnologico De Monterrey Mexico) - Machine Learning In Manufacturing Quality 4.0 And The Zero Defects Vision - Paperback
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Binding: Paperback
Description: Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews process monitoring based on machine learning algorithms and the technologies of the fourth industrial revolution and proposes Learning Quality Control (LQC) the evolution of Statistical Quality Control (SQC). This book identifies 10 big data issues in manufacturing and addresses them using an ad - hoc 5 - step problem - solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With two case studies using structured and unstructured data this book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect - free processes. This book enables engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices.
Title: Machine Learning In Manufacturing Quality 4.0 And The Zero Defects Vision
Author(s): Morales - Menendez Ruben (Dean Of Graduate Studies School Of Engineering And Sciences Tecnologico De Monterrey Mexico)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780323990295
Pages: 246 Pages
Publication Date: 3/22/2024
Category: Machine Learning
Description: Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews process monitoring based on machine learning algorithms and the technologies of the fourth industrial revolution and proposes Learning Quality Control (LQC) the evolution of Statistical Quality Control (SQC). This book identifies 10 big data issues in manufacturing and addresses them using an ad - hoc 5 - step problem - solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With two case studies using structured and unstructured data this book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect - free processes. This book enables engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices.
Title: Machine Learning In Manufacturing Quality 4.0 And The Zero Defects Vision
Author(s): Morales - Menendez Ruben (Dean Of Graduate Studies School Of Engineering And Sciences Tecnologico De Monterrey Mexico)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780323990295
Pages: 246 Pages
Publication Date: 3/22/2024
Category: Machine Learning
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