Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm-Reference-Cited by-同舟云学术

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Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm

Published:2022-08 Issue: Volume:144 Page:105823
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Yan Qi,Wang Hongfeng,Wu Fang

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference50 articles.

1. An effective heuristic for flexible job-shop scheduling problem with maintenance activities;Wang;Comput. Ind. Eng.,2010

2. Deep reinforcement learning based preventive maintenance policy for serial production lines;Huang;Expert Syst. Appl.,2020

3. A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem: simulation-based optimization approach;Rahmati;Ann. Oper. Res.,2018

4. Minimizing job tardiness using integrated preventive maintenance planning and production scheduling;Cassady;IIE Trans.,2003

5. Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm;Gao;J. Intell. Manuf.,2006

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