Integrated scheduling of distributed manufacturing with assembly and distribution: state of the art, challenges, and future directions.
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| Title: | Integrated scheduling of distributed manufacturing with assembly and distribution: state of the art, challenges, and future directions. |
|---|---|
| Authors: | Fu, Yaping1 (AUTHOR), Li, Zhengyuan1 (AUTHOR) lizhengyuan010928@163.com, Gao, Kaizhou2 (AUTHOR), Fathollahi-Fard, Amir M.3,4,5,6 (AUTHOR) afathollahifard@laurentian.ca, Zhang, Zhengpei1 (AUTHOR) |
| Source: | International Journal of Production Research. Jun2026, Vol. 64 Issue 11, p4669-4710. 42p. |
| Subjects: | Scheduling, Metaheuristic algorithms, Logistics, Automated planning & scheduling, Fabrication (Manufacturing), Flexible manufacturing systems, Mathematical optimization |
| Abstract: | Distributed manufacturing systems are very complex scheduling problems due to strong interactions between the production, distribution, and assmebly stages. This review paper surveys recent studies on modelling and optimising distributed manufacturing systems based on integrated scheduling problems. A total of 81 articles published in SCI- and SSCI-indexed journals from January 2020 to August 2025 are reviewed. First, we classify the integrated scheduling problems according to optimisation objectives, number of objectives, constraints, and the presence of uncertainties. Second, we analyse the use of meta-heuristics, highlighting algorithm structures, single- and multi-objective formulations, performance evaluation metrics, stopping criteria, and benchmark instances. Third, we identify key challenges and limitations in applying meta-heuristics to these complex scheduling problems. Finally, we summarise the current state of the field and propose promising directions for future research. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194490051 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrated scheduling of distributed manufacturing with assembly and distribution: state of the art, challenges, and future directions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fu%2C+Yaping%22">Fu, Yaping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zhengyuan%22">Li, Zhengyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lizhengyuan010928@163.com</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Kaizhou%22">Gao, Kaizhou</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fathollahi-Fard%2C+Amir+M%2E%22">Fathollahi-Fard, Amir M.</searchLink><relatesTo>3,4,5,6</relatesTo> (AUTHOR)<i> afathollahifard@laurentian.ca</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhengpei%22">Zhang, Zhengpei</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jun2026, Vol. 64 Issue 11, p4669-4710. 42p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Logistics%22">Logistics</searchLink><br /><searchLink fieldCode="DE" term="%22Automated+planning+%26+scheduling%22">Automated planning & scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Fabrication+%28Manufacturing%29%22">Fabrication (Manufacturing)</searchLink><br /><searchLink fieldCode="DE" term="%22Flexible+manufacturing+systems%22">Flexible manufacturing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Distributed manufacturing systems are very complex scheduling problems due to strong interactions between the production, distribution, and assmebly stages. This review paper surveys recent studies on modelling and optimising distributed manufacturing systems based on integrated scheduling problems. A total of 81 articles published in SCI- and SSCI-indexed journals from January 2020 to August 2025 are reviewed. First, we classify the integrated scheduling problems according to optimisation objectives, number of objectives, constraints, and the presence of uncertainties. Second, we analyse the use of meta-heuristics, highlighting algorithm structures, single- and multi-objective formulations, performance evaluation metrics, stopping criteria, and benchmark instances. Third, we identify key challenges and limitations in applying meta-heuristics to these complex scheduling problems. Finally, we summarise the current state of the field and propose promising directions for future research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194490051 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2025.2602898 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 42 StartPage: 4669 Subjects: – SubjectFull: Scheduling Type: general – SubjectFull: Metaheuristic algorithms Type: general – SubjectFull: Logistics Type: general – SubjectFull: Automated planning & scheduling Type: general – SubjectFull: Fabrication (Manufacturing) Type: general – SubjectFull: Flexible manufacturing systems Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: Integrated scheduling of distributed manufacturing with assembly and distribution: state of the art, challenges, and future directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fu, Yaping – PersonEntity: Name: NameFull: Li, Zhengyuan – PersonEntity: Name: NameFull: Gao, Kaizhou – PersonEntity: Name: NameFull: Fathollahi-Fard, Amir M. – PersonEntity: Name: NameFull: Zhang, Zhengpei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 64 – Type: issue Value: 11 Titles: – TitleFull: International Journal of Production Research Type: main |
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