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Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision
Carlos A. Escobar
(Autor)
·
Ruben Morales-Menendez
(Autor)
·
Elsevier
· Tapa Blanda
Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision - Escobar, Carlos A. ; Morales-Menendez, Ruben
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Reseña del libro "Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision"
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.
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