Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems

作者：

Highlights：

• Apply Deep Multi-Agent Reinforcement Learning to PM problem in manufacturing system.

• Incorporate multiple levels of PM actions with imperfect maintenance effects.

• Avoid space explosion by using Decentralized Partially Observable MDP (Dec-POMDP).

• Demonstrate the proposed method by applying it to manufacturing applications.

摘要

•Apply Deep Multi-Agent Reinforcement Learning to PM problem in manufacturing system.•Incorporate multiple levels of PM actions with imperfect maintenance effects.•Avoid space explosion by using Decentralized Partially Observable MDP (Dec-POMDP).•Demonstrate the proposed method by applying it to manufacturing applications.

论文关键词：Multi-level preventive maintenance,Deep multi-agent reinforcement learning,Deep reinforcement learning,Serial production line,Production loss

论文评审过程：Received 24 November 2020, Revised 16 November 2021, Accepted 26 November 2021, Available online 20 December 2021, Version of Record 24 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116323