Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm
Authors
Keywords
-
Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 144, Issue -, Pages 105823
Publisher
Elsevier BV
Online
2022-04-01
DOI
10.1016/j.cor.2022.105823
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reinforcement learning for combinatorial optimization: A survey
- (2021) Nina Mazyavkina et al. COMPUTERS & OPERATIONS RESEARCH
- Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning
- (2021) Jianguo Chen et al. ACM Transactions on Cyber-Physical Systems
- Digital twin-enabled smart modular integrated construction system for on-site assembly
- (2021) Yishuo Jiang et al. COMPUTERS IN INDUSTRY
- Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
- (2020) Shu Luo APPLIED SOFT COMPUTING
- An optimization method for energy-conscious production in flexible machining job shops with dynamic job arrivals and machine breakdowns
- (2020) Yufeng Li et al. JOURNAL OF CLEANER PRODUCTION
- Digital Twin Enhanced Dynamic Job-Shop Scheduling
- (2020) Meng Zhang et al. JOURNAL OF MANUFACTURING SYSTEMS
- A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
- (2020) Dmitry Ivanov et al. PRODUCTION PLANNING & CONTROL
- Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop
- (2020) Zhifeng Liu et al. JOURNAL OF MANUFACTURING SYSTEMS
- Digital Twin for maintenance: A literature review
- (2020) Itxaro Errandonea et al. COMPUTERS IN INDUSTRY
- Deep reinforcement learning based preventive maintenance policy for serial production lines
- (2020) Jing Huang et al. EXPERT SYSTEMS WITH APPLICATIONS
- A reinforcement learning approach for dynamic multi-objective optimization
- (2020) Fei Zou et al. INFORMATION SCIENCES
- IoT and digital twin enabled smart tracking for safety management
- (2020) Zhiheng Zhao et al. COMPUTERS & OPERATIONS RESEARCH
- Digital Twin in Industry: State-of-the-Art
- (2019) Fei Tao et al. IEEE Transactions on Industrial Informatics
- A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility
- (2019) Guiliang Gong et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing
- (2019) Yilin Fang et al. IEEE Transactions on Industrial Informatics
- Digital twin driven prognostics and health management for complex equipment
- (2018) Fei Tao et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- A branch-and-price algorithm for scheduling of deteriorating jobs and flexible periodic maintenance on a single machine
- (2018) Ting Wang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A new double flexible job-shop scheduling problem integrating processing time, green production, and human factor indicators
- (2018) Guiliang Gong et al. JOURNAL OF CLEANER PRODUCTION
- Industrial wearable system: the human-centric empowering technology in Industry 4.0
- (2018) Xiang T. R. Kong et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Hyper-heuristic approaches for strategic mine planning under uncertainty
- (2018) Amina Lamghari et al. COMPUTERS & OPERATIONS RESEARCH
- Adaptive job shop scheduling strategy based on weighted Q-learning algorithm
- (2018) Yu-Fang Wang JOURNAL OF INTELLIGENT MANUFACTURING
- Performance evaluation of a two-machine line with a finite buffer and condition-based maintenance
- (2017) Mohamed-Chahir Fitouhi et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Hybrid genetic algorithms for minimizing makespan in dynamic job shop scheduling problem
- (2016) Nilsen Kundakcı et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A knowledge-guided fruit fly optimization algorithm for dual resource constrained flexible job-shop scheduling problem
- (2016) Xiao-long Zheng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)
- (2015) Xuan Qiu et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities
- (2013) Jun-Qing Li et al. APPLIED MATHEMATICAL MODELLING
- Variable neighbourhood search for dual-resource constrained flexible job shop scheduling
- (2013) Deming Lei et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Chemical-reaction optimization for flexible job-shop scheduling problems with maintenance activity
- (2012) Jun-qing Li et al. APPLIED SOFT COMPUTING
- Scheduling tool changes and special jobs on a single machine to minimize makespan
- (2012) Dehua Xu et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- An effective heuristic for flexible job-shop scheduling problem with maintenance activities
- (2010) Shijin Wang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Minimizing total completion time on a single machine with a flexible maintenance activity
- (2010) Shan-lin Yang et al. COMPUTERS & OPERATIONS RESEARCH
- A GRASP algorithm for flexible job-shop scheduling with maintenance constraints
- (2010) M. Rajkumar et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Scheduling a maintenance activity to minimize total weighted completion-time
- (2009) Gur Mosheiov et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Multi-objective scheduling of dynamic job shop using variable neighborhood search
- (2009) M.A. Adibi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Scheduling of nonresumable jobs and flexible maintenance activities on a single machine to minimize makespan
- (2007) Jen-Shiang Chen EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started