A phased intelligent algorithm for dynamic seru production considering seru formation changes
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03579-0.pdf
Reference36 articles.
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2. Zhang Z, Song X, Huang H, Yin Y, Lev B (2022) Scheduling problem in seru production system considering DeJong’s learning effect and job splitting. Ann Oper Res. https://doi.org/10.1007/s10479-021-04515-0
3. Wu Y, Wang L, Chen J- (2021) A cooperative coevolution algorithm for complex hybrid seru-system scheduling optimization. Complex & Intelligent Systems 7(5):2559–2576. https://doi.org/10.1007/s40747-021-00432-8
4. Sun W, Yu Y, Lou Q, Wang J, Guan Y (2020) Reducing the total tardiness by Seru production: model, exact and cooperative coevolution solutions. Int J Prod Res 58(21):6441–6452. https://doi.org/10.1080/00207543.2019.1680898
5. Liu C, Li Z, Tang J, Wang X, Yao M-J (2021) How SERU production system improves manufacturing flexibility and firm performance: an empirical study in China. Ann Oper Res, https://doi.org/10.1007/s10479-020-03850-y
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