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- Author: Carlos A Escobar
- Publisher: Elsevier
- ISBN-10: 0323990290
- ISBN-13: 9780323990295
- Format: 15.2 x 22.9 x 1.3 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews the process monitoring of this new concept. The book identifies the nine big data issues in manufacturing and addresses them using an ad hoc 7-step problem-solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With real case studies from General Motors, the book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect-free processes. This book will enable engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices.
Industrial big data and arti?cial intelligence are propelling a new era of manufacturing: smart manufacturing. Although these driving technologies have the capacity to advance the state-of-the-art in manufacturing, current benchmarks of quality, conformance, productivity and innovation in industrial manufacturing have set a very high bar for machine learning algorithms.
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- Author: Carlos A Escobar
- Publisher: Elsevier
- ISBN-10: 0323990290
- ISBN-13: 9780323990295
- Format: 15.2 x 22.9 x 1.3 cm, softcover
- Language: English English
Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews the process monitoring of this new concept. The book identifies the nine big data issues in manufacturing and addresses them using an ad hoc 7-step problem-solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With real case studies from General Motors, the book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect-free processes. This book will enable engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices.
Industrial big data and arti?cial intelligence are propelling a new era of manufacturing: smart manufacturing. Although these driving technologies have the capacity to advance the state-of-the-art in manufacturing, current benchmarks of quality, conformance, productivity and innovation in industrial manufacturing have set a very high bar for machine learning algorithms.
Reviews