A.4: AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement

From Circular Twain - Reference Implementations Wiki
Revision as of 08:19, 27 December 2024 by Admin ugqr649i (talk | contribs)
Jump to navigationJump to search

Short Description:

Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution.

Reference, URL: https://www.ai4europe.eu/research/ai-catalog/ai-regio-reinforcement-learning-assembly-line-balancing-enhancement

Applicable Technical Category: Manufacturing

Application in relevant Projects/Initiatives: AI REGIO

Asset Type: ML Model

AI Breadth: ML

Learning Ability: Neural Networks, Reinforcement Learning

Related technologies: Reinforcement Learning, Neural Networks

Applicable Research Area: Integrative Ai

Applicable Technical Category: Planning and scheduling

License Information: Proprietary license

Related to circularity and sustainability:

Audience


Go back to the AI portfolio of reference implementations