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Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning.

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Title: Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning.
Authors: Choi, Jonghwan1, lgm3@g.skku.edu, Park, Jisoo1, jisoo7589@g.skku.edu, Noh, Sang Do1, sdnoh@skku.edu, Lee, Ju Yeon2, jylee@seoultech.ac.kr
Source: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5695-5714, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189056615
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning.
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  Data: <searchLink fieldCode="AU" term="%22Choi%2C+Jonghwan%22">Choi, Jonghwan</searchLink><relatesTo>1</relatesTo>, <i>lgm3@g.skku.edu</i><br /><searchLink fieldCode="AU" term="%22Park%2C+Jisoo%22">Park, Jisoo</searchLink><relatesTo>1</relatesTo>, <i>jisoo7589@g.skku.edu</i><br /><searchLink fieldCode="AU" term="%22Noh%2C+Sang+Do%22">Noh, Sang Do</searchLink><relatesTo>1</relatesTo>, <i>sdnoh@skku.edu</i><br /><searchLink fieldCode="AU" term="%22Lee%2C+Ju+Yeon%22">Lee, Ju Yeon</searchLink><relatesTo>2</relatesTo>, <i>jylee@seoultech.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Dec2025, Vol. 36 Issue 8, p5695-5714, 20p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189056615
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10845-024-02525-w
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 5695
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      – TitleFull: Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning.
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            NameFull: Choi, Jonghwan
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            NameFull: Park, Jisoo
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            NameFull: Noh, Sang Do
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 36
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              Value: 8
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