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

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. A new concept has recently appeared to address this challenge: Quality 4.0. 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 address them using an ad hoc 7-step problem solving strategy, increasing 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 moving 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. Provides an understanding of the most relevant challenges posed to the application of AI in manufacturing Includes analytical developments and applications, and merges a quality vision with machine learning algorithms Features real case studies from General Motors INDICE: 1. The Technologies - Artificial Intelligence and Industrial Big Data2. The classification principle3. Process Monitoring for Quality - A Quality 4.0 Initiative4-10. IADLPRR11. Deployment12. Case study - A Step Forward in the Zero Defects Vision13. Democratization of Quality 4.0 and implementation strategy14. Certification - competences by belt. Green, black and master black Belt Requirements15. Conclusions

• ISBN: 978-0-323-99029-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 300
• Fecha Publicación: 01/06/2023
• Nº Volúmenes: 1
• Idioma: Inglés