Scheduling for trial production with a parallel machine and multitasking scheduling model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04845-5.pdf
Reference45 articles.
1. Tao LY, Zhang M, Li ZD (2013) Study on the product quality control in small batch trial process. Adv Mater Res 694–697:3507–3511. https://doi.org/10.4028/www.scientific.net/AMR.694-697.3507
2. Shi Y, Reich D, Epelman M, Klampfl E, Cohn A (2017) An analytical approach to prototype vehicle test scheduling. Omega 67:168–176. https://doi.org/10.1016/j.omega.2016.05.003
3. Liu Q, Zhang H, Leng J, Chen X (2019) Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system. Int J Prod Res 57(12):3903–3919. https://doi.org/10.1080/00207543.2018.1471243
4. Gao J, Zhu X, Bai K, Zhang R (2021) New controllable processing time scheduling with subcontracting strategy for no-wait job shop problem. Int J Prod Res 60(7):2254–2274. https://doi.org/10.1080/00207543.2021.1886368
5. Belabid J, Aqil S, Allali K (2022) Nash equilibrium inspired greedy search for solving flow shop scheduling problems. Applied Intelligence. https://doi.org/10.1007/s10489-022-04090-2
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