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

Title: Machine Learning in Manufacturing : Quality 4.0 and the Zero Defects Vision
Author: Carlos A. Escobar, Ruben Morales-Menendez
ISBN: 0323990290 / 9780323990295
Format: Soft Cover
Pages: 300
Publisher: Elsevier
Year: 2024
Availability: 20-30 days

Tab Article

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.

 

Tab Article

Chapter 1 : Introduction
Chapter 2 : The technologies
Chapter 3 : The data
Chapter 4 : Classification
Chapter 5 : Machine learning theory
Chapter 6 : Feature engineering
Chapter 7 : Classifier development
Chapter 8 : Learning quality control
Chapter 9 : Case studies