Deep reinforcement learning for solving hybrid flow shop scheduling problems with limited buffers.

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Title: Deep reinforcement learning for solving hybrid flow shop scheduling problems with limited buffers.
Authors: Wang, Conghui1 (AUTHOR), Cao, Zhiguang2 (AUTHOR), Suppe, Arne Jonni2 (AUTHOR), Wu, Yaoxin3 (AUTHOR), Lu, Yangguang4 (AUTHOR), Wu, Guohua5 (AUTHOR) guohuawu@csu.edu.cn
Source: International Journal of Production Research. Jul2026, Vol. 64 Issue 14, p5735-5756. 22p.
Database: Business Source Ultimate
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  Data: Deep reinforcement learning for solving hybrid flow shop scheduling problems with limited buffers.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jul2026, Vol. 64 Issue 14, p5735-5756. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195127043
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/00207543.2026.2615080
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 5735
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      – TitleFull: Deep reinforcement learning for solving hybrid flow shop scheduling problems with limited buffers.
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            NameFull: Wang, Conghui
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            NameFull: Cao, Zhiguang
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            NameFull: Suppe, Arne Jonni
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            NameFull: Wu, Yaoxin
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            NameFull: Lu, Yangguang
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            NameFull: Wu, Guohua
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            – D: 15
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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