Bi-Objective optimisation for synchronising replenishment and storage assignment: achieving energy efficiency and blocking avoidance in forward-reserve warehousing.
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| Title: | Bi-Objective optimisation for synchronising replenishment and storage assignment: achieving energy efficiency and blocking avoidance in forward-reserve warehousing. |
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| Authors: | Wang, Lin1 (AUTHOR), Zhang, Ning1 (AUTHOR), Wang, Sirui2 (AUTHOR), Wang, Xuerui1 (AUTHOR), Yuan, Zhe3 (AUTHOR) zhe.yuan@devinci.fr |
| Source: | International Journal of Production Research. Jun2026, Vol. 64 Issue 11, p4635-4668. 34p. |
| Subjects: | Energy consumption, Automated storage retrieval systems, Inventories, Inventory control, Warehouses, Long short-term memory, Multi-objective optimization |
| Abstract: | The forward-reserve warehouse is an integrated robotic storage and picking system, which combines a reserve area equipped with an automatic storage/retrieval system and a forward area supported by a robotic mobile fulfilment system. Blocking in FRWs leads to energy dissipation and inefficiency, strongly affected by storage assignment and replenishment timeliness. However, existing research rarely focuses on systematically quantifying the benefits of replenishment and storage assignment synchronous optimisation with blocking avoidance. To address this gap, we formulate a new bi-objective model to improve both energy efficiency and timeliness, explicitly developing two tailored mathematical evaluation models for energy consumption and blocking. We design a novel ENSGA-II algorithm and integrate it with an LSTM network to solve the problem. Experimental results show that the ENSGA-II achieves superior distribution and faster convergence, as measured by HV/GD/IGD across all scales. We also conduct a comprehensive sensitivity analysis and discuss the results in detail. The findings reveal that a medium number of picking stations ensures the best balance between energy efficiency and timeliness objectives. The FRW achieves optimal performance when the station ratio between the forward and reserve areas remains in a medium range (e.g., 4/20 to 12/8). Additionally, SKU-type diversity in the forward area significantly affects system costs. Both low and high diversity reduce costs, while medium diversity (e.g., 0.5) results in the least benefits. In particular, small-scale warehouses benefit more from higher SKU-type diversity. [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: 194490062 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bi-Objective optimisation for synchronising replenishment and storage assignment: achieving energy efficiency and blocking avoidance in forward-reserve warehousing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Lin%22">Wang, Lin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Ning%22">Zhang, Ning</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Sirui%22">Wang, Sirui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xuerui%22">Wang, Xuerui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yuan%2C+Zhe%22">Yuan, Zhe</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> zhe.yuan@devinci.fr</i> – 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, p4635-4668. 34p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Automated+storage+retrieval+systems%22">Automated storage retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Inventories%22">Inventories</searchLink><br /><searchLink fieldCode="DE" term="%22Inventory+control%22">Inventory control</searchLink><br /><searchLink fieldCode="DE" term="%22Warehouses%22">Warehouses</searchLink><br /><searchLink fieldCode="DE" term="%22Long+short-term+memory%22">Long short-term memory</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The forward-reserve warehouse is an integrated robotic storage and picking system, which combines a reserve area equipped with an automatic storage/retrieval system and a forward area supported by a robotic mobile fulfilment system. Blocking in FRWs leads to energy dissipation and inefficiency, strongly affected by storage assignment and replenishment timeliness. However, existing research rarely focuses on systematically quantifying the benefits of replenishment and storage assignment synchronous optimisation with blocking avoidance. To address this gap, we formulate a new bi-objective model to improve both energy efficiency and timeliness, explicitly developing two tailored mathematical evaluation models for energy consumption and blocking. We design a novel ENSGA-II algorithm and integrate it with an LSTM network to solve the problem. Experimental results show that the ENSGA-II achieves superior distribution and faster convergence, as measured by HV/GD/IGD across all scales. We also conduct a comprehensive sensitivity analysis and discuss the results in detail. The findings reveal that a medium number of picking stations ensures the best balance between energy efficiency and timeliness objectives. The FRW achieves optimal performance when the station ratio between the forward and reserve areas remains in a medium range (e.g., 4/20 to 12/8). Additionally, SKU-type diversity in the forward area significantly affects system costs. Both low and high diversity reduce costs, while medium diversity (e.g., 0.5) results in the least benefits. In particular, small-scale warehouses benefit more from higher SKU-type diversity. [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: 10.1080/00207543.2026.2618574 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 4635 Subjects: – SubjectFull: Energy consumption Type: general – SubjectFull: Automated storage retrieval systems Type: general – SubjectFull: Inventories Type: general – SubjectFull: Inventory control Type: general – SubjectFull: Warehouses Type: general – SubjectFull: Long short-term memory Type: general – SubjectFull: Multi-objective optimization Type: general Titles: – TitleFull: Bi-Objective optimisation for synchronising replenishment and storage assignment: achieving energy efficiency and blocking avoidance in forward-reserve warehousing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Lin – PersonEntity: Name: NameFull: Zhang, Ning – PersonEntity: Name: NameFull: Wang, Sirui – PersonEntity: Name: NameFull: Wang, Xuerui – PersonEntity: Name: NameFull: Yuan, Zhe 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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