A joint sustainable order-packing vehicle routing optimisation for the cold chain e-fulfilment.
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| Title: | A joint sustainable order-packing vehicle routing optimisation for the cold chain e-fulfilment. |
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| Authors: | Tsang, Y. P.1 (AUTHOR) yungpo.tsang@polyu.edu.hk, Ma, Haoran2 (AUTHOR), Tan, K. H.3 (AUTHOR), Lee, C. K. M.1,2 (AUTHOR) |
| Source: | Annals of Operations Research. Dec2025, Vol. 355 Issue 1, p805-828. 24p. |
| Subjects: | Vehicle routing problem, Perishable goods, Packing problem (Mathematics), Online shopping, Mathematical optimization |
| Abstract: | Due to the new normal caused by the pandemic, consumer behaviour has now shifted to online shopping not only for general commodities but also for food and other perishable products. Therefore, e-commerce fulfilment is now integrated with cold chain capabilities to satisfy stringent requirements on time-criticality and product quality, leading to the concept of cold chain e-fulfilment. In the cold chain e-fulfilment process, perishable orders are packed in thermal packaging solutions and delivered to consumers before the quality preservation time window. To secure a sufficient time buffer during last mile delivery, excessive use of thermal packaging materials is applied, which creates an adverse environmental impact on our eco-system. Aligning with low-carbon business practices, this study proposes a novel joint optimization model, namely the Joint Optimization of Sustainable Order Packing and Multi-Temperature Delivery Problem (JOSOPMDP), for order packing and vehicle routing decisions, where the sustainable use of thermal packaging materials is promoted without negatively influencing product quality and customer satisfaction. To evaluate its viability and performance, three sets of computational experiments are subsequently conducted. It is found that the proposed model is feasible to strike a balance between order packing and vehicle routing decisions. Compared with the traditional strategy, the average total cost and satisfaction level are improved by 3.26% and 47.88%, respectively. Consequently, this research fosters sustainable thinking in the cold chain e-fulfilment process, minimizing environmental impact. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Operations Research is the property of Springer Nature 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: 189910496 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A joint sustainable order-packing vehicle routing optimisation for the cold chain e-fulfilment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tsang%2C+Y%2E+P%2E%22">Tsang, Y. P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yungpo.tsang@polyu.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Haoran%22">Ma, Haoran</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tan%2C+K%2E+H%2E%22">Tan, K. H.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+C%2E+K%2E+M%2E%22">Lee, C. K. M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. Dec2025, Vol. 355 Issue 1, p805-828. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vehicle+routing+problem%22">Vehicle routing problem</searchLink><br /><searchLink fieldCode="DE" term="%22Perishable+goods%22">Perishable goods</searchLink><br /><searchLink fieldCode="DE" term="%22Packing+problem+%28Mathematics%29%22">Packing problem (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Online+shopping%22">Online shopping</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Due to the new normal caused by the pandemic, consumer behaviour has now shifted to online shopping not only for general commodities but also for food and other perishable products. Therefore, e-commerce fulfilment is now integrated with cold chain capabilities to satisfy stringent requirements on time-criticality and product quality, leading to the concept of cold chain e-fulfilment. In the cold chain e-fulfilment process, perishable orders are packed in thermal packaging solutions and delivered to consumers before the quality preservation time window. To secure a sufficient time buffer during last mile delivery, excessive use of thermal packaging materials is applied, which creates an adverse environmental impact on our eco-system. Aligning with low-carbon business practices, this study proposes a novel joint optimization model, namely the Joint Optimization of Sustainable Order Packing and Multi-Temperature Delivery Problem (JOSOPMDP), for order packing and vehicle routing decisions, where the sustainable use of thermal packaging materials is promoted without negatively influencing product quality and customer satisfaction. To evaluate its viability and performance, three sets of computational experiments are subsequently conducted. It is found that the proposed model is feasible to strike a balance between order packing and vehicle routing decisions. Compared with the traditional strategy, the average total cost and satisfaction level are improved by 3.26% and 47.88%, respectively. Consequently, this research fosters sustainable thinking in the cold chain e-fulfilment process, minimizing environmental impact. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature 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: 10.1007/s10479-024-05949-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 805 Subjects: – SubjectFull: Vehicle routing problem Type: general – SubjectFull: Perishable goods Type: general – SubjectFull: Packing problem (Mathematics) Type: general – SubjectFull: Online shopping Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: A joint sustainable order-packing vehicle routing optimisation for the cold chain e-fulfilment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tsang, Y. P. – PersonEntity: Name: NameFull: Ma, Haoran – PersonEntity: Name: NameFull: Tan, K. H. – PersonEntity: Name: NameFull: Lee, C. K. M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 355 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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