Cerin, Lea (A.A. 2023/2024) What are the impacts of machine learning on the shopfloor in the manufacturing industry? Tesi di Laurea in Governance of digital markets and technologies in Europe, Luiss Guido Carli, relatore Jose Carlos Mariategui Ezeta, pp. 66. [Master's Degree Thesis]

PDF (Full text) Restricted to Registered users only Download (2MB) | Request a copy

Abstract/Index

The role of innovation and technology as catalyst for economic changes, a theoretical overview. Industrial revolutions and factory management paradigms. Industry 4.0. Cyber-physical systems (CPS): core concepts. Cyber-physical systems: how they operate. Internet of Things and CPS. Enabling technology for Industry 4.0. 5G and 6G connectivity. High performance computing (HPC) and quantum computing. Big data analytics (BDA). Digital twins. Machine learning in the manufacturing shopfloor. Machine learning, main characteristics. Machine learning applications on the shopfloor. Quality control powered by machine learning. Predictive maintenance powered by machine learning. Automation powered by machine learning.

References

Bibliografia: pp. 64-66.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Policies and Governance in Europe, English language (LM-62)
Chair:	Governance of digital markets and technologies in Europe
Thesis Supervisor:	Mariategui Ezeta, Jose Carlos
Thesis Co-Supervisor:	Panucci, Marcella
Academic Year:	2023/2024
Session:	Extraordinary
Deposited by:	Alessandro Perfetti
Date Deposited:	10 Jul 2025 13:50
Last Modified:	10 Jul 2025 13:50
URI:	https://tesi.luiss.it/id/eprint/42886

Downloads

Repository Staff Only

View Item