782
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Flowshop scheduling with artificial neural networks

, &
Pages 1619-1637 | Received 21 Jun 2018, Accepted 10 May 2019, Published online: 24 Jun 2019

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Yakin Hajlaoui, Amel Jaoua & Safa Bhar Layeb. (2023) Deep reinforcement learning for solving the single container loading problem. Engineering Optimization 55:4, pages 668-684.
Read now
Zhe Zhang, Xue Gong, Xiaoling Song, Yong Yin, Benjamin Lev & Xiaoyang Zhou. (2023) A nonanticipatory policy for stochastic seru scheduling problems. Journal of the Operational Research Society 0:0, pages 1-12.
Read now

Articles from other publishers (11)

Tulay Korkusuz Polat. (2022) Forecasting of production and scrap amounts using artificial neural networks. Emerging Materials Research 11:3, pages 345-355.
Crossref
Ali Ahmed Salem, Kwan Yiew Lau, Zulkurnain Abdul-Malek, Samir A. Al-Gailani & Chee Wei Tan. (2022) Flashover voltage of porcelain insulator under various pollution distributions: Experiment and modeling. Electric Power Systems Research 208, pages 107867.
Crossref
Eslam Mohammed Abdelkader, Osama Moselhi, Mohamed Marzouk & Tarek Zayed. (2021) A Grey Wolf Optimization-Based Method for Segmentation and Evaluation of Scaling in Reinforced Concrete Bridges. International Journal of Information Technology & Decision Making 20:06, pages 1561-1614.
Crossref
Zafar Said, Prabhakar Sharma, L. Syam Sundar, Asif Afzal & Changhe Li. (2021) Synthesis, stability, thermophysical properties and AI approach for predictive modelling of Fe3O4 coated MWCNT hybrid nanofluids. Journal of Molecular Liquids 340, pages 117291.
Crossref
Jianfeng Ren, Chunming Ye & Feng Yang. (2021) Solving flow-shop scheduling problem with a reinforcement learning algorithm that generalizes the value function with neural network. Alexandria Engineering Journal 60:3, pages 2787-2800.
Crossref
Morad Danishvar, Sebelan Danishvar, Evina Katsou, S. Afshin Mansouri & Alireza Mousavi. (2021) Energy-Aware Flowshop Scheduling: A Case for AI-Driven Sustainable Manufacturing. IEEE Access 9, pages 141678-141692.
Crossref
Maria Grazia Marchesano, Guido Guizzi, Liberatina Carmela Santillo & Silvestro Vespoli. (2021) A Deep Reinforcement Learning approach for the throughput control of a Flow-Shop production system. IFAC-PapersOnLine 54:1, pages 61-66.
Crossref
Binghai Zhou & Zhexin Zhu. (2020) A dynamic scheduling mechanism of part feeding for mixed-model assembly lines based on the modified neural network and knowledge base. Soft Computing 25:1, pages 291-319.
Crossref
Jin-Pin Liou. (2020) Dominance conditions determination based on machine idle times for the permutation flowshop scheduling problem. Computers & Operations Research 122, pages 104964.
Crossref
Jian Guo, Yaoyao Shi, Zhen Chen, Tao Yu, Bijan Shirinzadeh & Pan Zhao. (2020) Improved SP-MCTS-Based Scheduling for Multi-Constraint Hybrid Flow Shop. Applied Sciences 10:18, pages 6220.
Crossref
Suman Dey, Narath Moni Reang, Arindam Majumder, Madhujit Deb & Pankaj Kumar Das. (2020) A hybrid ANN-Fuzzy approach for optimization of engine operating parameters of a CI engine fueled with diesel-palm biodiesel-ethanol blend. Energy 202, pages 117813.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.