Communication Dans Un Congrès Année : 2023

Advancing Manufacturing with Machine Learning: Unlocking the Potential of Reinforcement learning in Industry 4.0

Résumé

The ongoing Industry 4.0 revolution is transforming manufacturing environment to be smarter, empowering machines to comprehend processes, interact with their environment, and adapt intelligently, thus enhancing the productivity of manufacturing technologies. Within the realm of AI (Artificial Intelligence), Machine Learning (ML) has emerged as a pivotal force propelling these innovations in various industrial sectors, and leading digital transformation of operations and processes to Industry of the future. Particularly, ML, with a focus on Reinforcement Learning (RL), has demonstrated its prowess in successfully addressing diverse tasks and challenges across different complexities and performance levels in the industry. This paper provides a comprehensive overview of ML applications for smart manufacturing, highlighting several powerful ML algorithms capable of offering solutions to pertinent issues while averting potential challenges in the future of the industry.

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hal-04284006 , version 1 (14-11-2023)

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  • HAL Id : hal-04284006 , version 1

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Zineb Ihrouchen, Omar Souissi, Hicham Bensaid. Advancing Manufacturing with Machine Learning: Unlocking the Potential of Reinforcement learning in Industry 4.0. Industrial Conference of Science and Industry of the Future (ICSIF23), Oct 2023, Rabat, Morocco. ⟨hal-04284006⟩
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