This thesis explores the impact of artificial intelligence on manufacturing processes, focusing on its role in advancing smart factories within the frameworks of Industry 4.0 and 5.0. It examines how AI technologies are enhancing efficiency, quality, flexibility, and speed in production systems. The first chapter provides an overview of the evolution of manufacturing and introduces AI technologies. The second chapter analyzes current AI applications in smart manufacturing, while the third presents a case study demonstrating the implementation of a machine learning model in a real manufacturing process. This work highlights how AI is reshaping operations and driving operational excellence in manufacturing.

This thesis explores the impact of artificial intelligence on manufacturing processes, focusing on its role in advancing smart factories within the frameworks of Industry 4.0 and 5.0. It examines how AI technologies are enhancing efficiency, quality, flexibility, and speed in production systems. The first chapter provides an overview of the evolution of manufacturing and introduces AI technologies. The second chapter analyzes current AI applications in smart manufacturing, while the third presents a case study demonstrating the implementation of a machine learning model in a real manufacturing process. This work highlights how AI is reshaping operations and driving operational excellence in manufacturing.

Artificial intelligence for smart manufacturing: a machine learning model for assembly process analysis

ANDREASI, ENRICO
2024/2025

Abstract

This thesis explores the impact of artificial intelligence on manufacturing processes, focusing on its role in advancing smart factories within the frameworks of Industry 4.0 and 5.0. It examines how AI technologies are enhancing efficiency, quality, flexibility, and speed in production systems. The first chapter provides an overview of the evolution of manufacturing and introduces AI technologies. The second chapter analyzes current AI applications in smart manufacturing, while the third presents a case study demonstrating the implementation of a machine learning model in a real manufacturing process. This work highlights how AI is reshaping operations and driving operational excellence in manufacturing.
2024
Artificial intelligence for smart manufacturing: a machine learning model for assembly process analysis
This thesis explores the impact of artificial intelligence on manufacturing processes, focusing on its role in advancing smart factories within the frameworks of Industry 4.0 and 5.0. It examines how AI technologies are enhancing efficiency, quality, flexibility, and speed in production systems. The first chapter provides an overview of the evolution of manufacturing and introduces AI technologies. The second chapter analyzes current AI applications in smart manufacturing, while the third presents a case study demonstrating the implementation of a machine learning model in a real manufacturing process. This work highlights how AI is reshaping operations and driving operational excellence in manufacturing.
AI
industry 4.0
smart manufacturing
machine learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/94651