Scheduling in cloud manufacturing systems: Recent systematic literature review-Reference-Cited by-同舟云学术

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Scheduling in cloud manufacturing systems: Recent systematic literature review

Published:2020 Issue:6 Volume:17 Page:7378-7397
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Halty Agustín, ,Sánchez Rodrigo,Vázquez Valentín,Viana Víctor,Piñeyro Pedro,Alejandro Rossit Daniel,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Link

http://www.aimspress.com/article/10.3934/mbe.2020377/pdf

Reference20 articles.

1. L. Atzori, A. Iera, G. Morabito, The internet of

2. P. Wang, R. X. Gao, Z. Fan, Cloud computing for cloud

3. B. Li, L. Zhang, S. Wang, F. Tao, J. W. Cao, X. D. Jiang, et al., Cloud

4. Y. Yang, Y. D. Cai, Q. Lu, Y. Zhang, S. Koric, C. Shao, High-performance computing based big data analytics for smart manufacturing,

5. Y. Liu, L. Wang, X. Wang, X. Xu, P. Jiang, Cloud

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1. A multi-phase integrated scheduling method for cloud remanufacturing systems;Advanced Engineering Informatics;2024-10

2. Cloud based manufacturing: A review of recent developments in architectures, technologies, infrastructures, platforms and associated challenges;The International Journal of Advanced Manufacturing Technology;2024-02-01

3. Hybrid Task Scheduling in Cloud Manufacturing With Sparse-Reward Deep Reinforcement Learning;IEEE Transactions on Automation Science and Engineering;2024

4. Decentralised collaborative job reassignments in additive manufacturing;International Journal of Production Research;2023-11-30

5. An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing;International Journal of Production Research;2023-09-07

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