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Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision

AUTHOR Escobar, Carlos A.; Morales-Menendez, Ruben; A. Escobar, Carlos
PUBLISHER Elsevier (03/22/2024)
PRODUCT TYPE Paperback (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.
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Product Format
Product Details
ISBN-13: 9780323990295
ISBN-10: 0323990290
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 246
Carton Quantity: 32
Product Dimensions: 6.00 x 0.52 x 9.00 inches
Weight: 0.74 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Technology & Engineering | Mechanical
Technology & Engineering | Automotive
Descriptions, Reviews, Etc.
publisher marketing
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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Your Price  $178.20
Paperback