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Two types of learning effects on maintenance activities
Tarakci, Hakan - In: International journal of production research 54 (2016) 5/6, pp. 1721-1734
Persistent link: https://www.econbiz.de/10011498185
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Single-machine group scheduling problem considering learning, forgetting effects and preventive maintenance
Pan, Ershun; Wang, Guina; Xi, Lifeng; Chen, Lu; Han, Xiaole - In: International journal of production research 52 (2014) 19, pp. 5690-5704
Persistent link: https://www.econbiz.de/10010424990
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Distributed policy search reinforcement learning for job-shop scheduling tasks
Gabel, Thomas; Riedmiller, Martin - In: International journal of production research 50 (2011) 1, pp. 41-61
Persistent link: https://www.econbiz.de/10009526856
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Deep reinforcement learning for solving steelmaking-continuous casting scheduling problems under time-of-use tariffs
Pan, Ruilin; Wang, Qiong; Cao, Jianhua; Zhou, Chunliu - In: International journal of production research 62 (2024) 1/2, pp. 404-420
Persistent link: https://www.econbiz.de/10014455144
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Reinforcement learning applied to production planning and control
Esteso, Ana; Peidro, David; Mula, Josefa; … - In: International journal of production research 61 (2023) 16, pp. 5772-5789
Persistent link: https://www.econbiz.de/10014382357
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A big-data-driven matching model based on deep reinforcement learning for cotton blending
Xia, Huosong; Wang, Yuan; Jasimuddin, Sajjad M.; Zhang, … - In: International journal of production research 61 (2023) 22, pp. 7573-7591
Persistent link: https://www.econbiz.de/10014383406
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A reinforcement learning based approach for multi-projects scheduling in cloud manufacturing
Chen, Shengkai; Fanga, Shuiliang; Tang, Renzhong - In: International journal of production research 57 (2019) 10, pp. 3080-3098
Persistent link: https://www.econbiz.de/10012193243
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Intelligent scheduling of discrete automated production line via deep reinforcement learning
Shi, Daming; Fan, Wenhui; Xiao, Yingying; Lin, Tingyu; … - In: International journal of production research 58 (2020) 11, pp. 3362-3380
Persistent link: https://www.econbiz.de/10012265402
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A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems
Leng, Jinling; Wang, Xingyuan; Wu, Shiping; Jin, Chun; … - In: International journal of production research 61 (2023) 15, pp. 5156-5175
Persistent link: https://www.econbiz.de/10014381906
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A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer
Wu, Yuting; Wang, Ling; Chen, Jing-fang; Zheng, Jie; … - In: International journal of production research 62 (2024) 11, pp. 3952-3971
Persistent link: https://www.econbiz.de/10014547156