AGV scheduling in automated container terminals considering multi-load strategy and charging requirements.
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| Title: | AGV scheduling in automated container terminals considering multi-load strategy and charging requirements. |
|---|---|
| Authors: | Yang, Xurui1,2 (AUTHOR), Hu, Hongtao1,2 (AUTHOR) hu.hongtao@foxmail.com, Wang, Yuren1 (AUTHOR), Cheng, Chen1 (AUTHOR) |
| Source: | International Journal of Production Research. Dec2025, Vol. 63 Issue 23, p9269-9297. 29p. |
| Subjects: | Container terminals, Energy consumption, Operating costs, Mixed integer linear programming, Containerization, Metaheuristic algorithms |
| Abstract: | In container terminals, Automated Guided Vehicles (AGVs) are the core equipment responsible for transporting containers. Research on AGV scheduling often relies on the assumption that an AGV can only transport a single container at a time, which is inconsistent with actual operations. Therefore, in this paper the AGV scheduling problem is investigated considering a multi-load transportation strategy and charging demand. A position-based mixed-integer programming model was established to minimise the energy consumption and operational delay costs. In order to deal with the difficulty introduced by the complex model constraints, a two-stage solution method based on task combination units is designed. In the first stage, the release time and position of tasks is examined to generate task combination units. In the second stage, decisions are made on AGV operation plans, and scheduling models considering different task combinations are established. A variable neighbourhood search algorithm based on a greedy strategy is designed to improve the efficiency of the second-stage solution. Finally, the effectiveness of the proposed mathematical model and the efficiency of the solution method are verified through a series of numerical experiments. The results show that the multi-load strategy can reduce the no-load transit and delay costs of AGVs effectively. [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: 189849857 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AGV scheduling in automated container terminals considering multi-load strategy and charging requirements. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Xurui%22">Yang, Xurui</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Hongtao%22">Hu, Hongtao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hu.hongtao@foxmail.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yuren%22">Wang, Yuren</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheng%2C+Chen%22">Cheng, Chen</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>. Dec2025, Vol. 63 Issue 23, p9269-9297. 29p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Container+terminals%22">Container terminals</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Operating+costs%22">Operating costs</searchLink><br /><searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Containerization%22">Containerization</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In container terminals, Automated Guided Vehicles (AGVs) are the core equipment responsible for transporting containers. Research on AGV scheduling often relies on the assumption that an AGV can only transport a single container at a time, which is inconsistent with actual operations. Therefore, in this paper the AGV scheduling problem is investigated considering a multi-load transportation strategy and charging demand. A position-based mixed-integer programming model was established to minimise the energy consumption and operational delay costs. In order to deal with the difficulty introduced by the complex model constraints, a two-stage solution method based on task combination units is designed. In the first stage, the release time and position of tasks is examined to generate task combination units. In the second stage, decisions are made on AGV operation plans, and scheduling models considering different task combinations are established. A variable neighbourhood search algorithm based on a greedy strategy is designed to improve the efficiency of the second-stage solution. Finally, the effectiveness of the proposed mathematical model and the efficiency of the solution method are verified through a series of numerical experiments. The results show that the multi-load strategy can reduce the no-load transit and delay costs of AGVs effectively. [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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2025.2536728 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 9269 Subjects: – SubjectFull: Container terminals Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Operating costs Type: general – SubjectFull: Mixed integer linear programming Type: general – SubjectFull: Containerization Type: general – SubjectFull: Metaheuristic algorithms Type: general Titles: – TitleFull: AGV scheduling in automated container terminals considering multi-load strategy and charging requirements. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Xurui – PersonEntity: Name: NameFull: Hu, Hongtao – PersonEntity: Name: NameFull: Wang, Yuren – PersonEntity: Name: NameFull: Cheng, Chen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 63 – Type: issue Value: 23 Titles: – TitleFull: International Journal of Production Research Type: main |
| ResultId | 1 |
