Future Perspectives for ML and AI with a Specific Focus on Quality

This thesis explores the transformative potential of machine learning (ML) and artificial intelligence (AI), particularly Generative AI, in enhancing quality management within the manufacturing sector. Rooted in an Italian eyewear manufacturing company, the study integrates advanced technologies to address product quality issues and optimize production processes. The first part analyzes market claim data and quality challenges to identify recurring issues impacting product quality and operational processes. This empirical investigation offers insights into improving product development and manufacturing efficiency. The second part examines Generative AI's theoretical frameworks and applications in manufacturing, focusing on predicting and preventing quality issues, improving product design, and enhancing overall operational efficiency and innovation. This review underscores Generative AI's potential to transform industrial practices related to quality assurance and maintenance. In conclusion, this thesis highlights the significant role of ML and AI, particularly Generative AI, in reshaping industrial practices towards heightened product innovation, operational efficiency, and quality management.