Deep reinforcement learning‐based balancing and sequencing approach for mixed model assembly lines
Abstract A multi‐agent iterative optimisation method based on deep reinforcement learning is proposed for the balancing and sequencing problem in mixed model assembly lines. Based on the Markov decision process model for balancing and sequencing, a balancing agent using a deep deterministic policy g...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-09-01
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Series: | IET Collaborative Intelligent Manufacturing |
Subjects: | |
Online Access: | https://doi.org/10.1049/cim2.12061 |