Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning-Reference-Cited by-同舟云学术

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Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning

Published:2023-12 Issue: Volume:186 Page:109718
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Zhang Min,Wang Liang^ORCID,Qiu Fusheng,Liu Xiaorui

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference41 articles.

1. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Annals of Operations Research,1993

2. A branch and bound algorithm for the job-shop scheduling problem;Brucker;Discrete Applied Mathematics,1994

3. Flexible job-shop scheduling with transportation resources;Berterottière;European Journal of Operational Research,2023

4. An MILP for scheduling problems in an FMS with one vehicle;Caumond;European Journal of Operational Research,2009

5. A priority scheduling approach for flexible job shops with multiple process plans;Doh;International Journal of Production Research,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Energy Efficiency in Unrelated Parallel Machine Scheduling Problem Through Reinforcement Learning;2023

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