A Multi-Objective Vehicle-Cargo Matching Decision Method Considering Market Supply–Demand Fluctuations and Diverse Stakeholder Interests.
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| Title: | A Multi-Objective Vehicle-Cargo Matching Decision Method Considering Market Supply–Demand Fluctuations and Diverse Stakeholder Interests. |
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| Authors: | Li, Zhuoqun1 (AUTHOR) 1901@ecjtu.edu.cn, Shao, Yanci1 (AUTHOR) 2022138125604018@ecjtu.edu.cn, Liu, Guangsen2 (AUTHOR) 1370536981@qq.com |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Jul2025, Vol. 50 Issue 14, p11347-11368. 22p. |
| Subjects: | Profit maximization, Set functions, Economic efficiency, Supply & demand, Landscaping industry |
| Abstract: | The vehicle-cargo matching (VCM) sector within the freight industry faces significant challenges, including substantial fluctuations in vehicle-cargo supply and demand quantities and suboptimal matching efficiency. This study addresses these issues by innovatively establishing a multi-objective VCM decision model and segmenting typical business scenarios based on varying vehicle-cargo supply–demand ratios, with objective functions scientifically set according to the diverse requirements of each participant. This model fully considers the characteristics of the VCM system and is solved using appropriate Kuhn–Munkres (an improved Hungarian algorithm) algorithms to ensure efficient and accurate results. Evaluation indicators are also innovatively set from both economic and social benefit perspectives, incorporating managerial assessments and corporate development requirements. The study compares the impacts of different objective functions on VCM outcomes across various scenarios. Results indicate that, in most cases, the platform can achieve maximum profits without explicitly targeting profit maximization, thus accommodating other managerial assessment requirements. Compared to previous single-objective function studies, this approach increases economic efficiency by 22.14 % and decreases the empty driving rate by 12.1 % . The model is directly applicable to real-world logistics, offering a practical, comprehensive solution for maximizing resources and profitability within the evolving freight industry landscape. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) 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: 186677983 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Multi-Objective Vehicle-Cargo Matching Decision Method Considering Market Supply–Demand Fluctuations and Diverse Stakeholder Interests. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Zhuoqun%22">Li, Zhuoqun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1901@ecjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shao%2C+Yanci%22">Shao, Yanci</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 2022138125604018@ecjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Guangsen%22">Liu, Guangsen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> 1370536981@qq.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Arabian+Journal+for+Science+%26+Engineering+%28Springer+Science+%26+Business+Media+B%2EV%2E+%29%22">Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )</searchLink>. Jul2025, Vol. 50 Issue 14, p11347-11368. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Profit+maximization%22">Profit maximization</searchLink><br /><searchLink fieldCode="DE" term="%22Set+functions%22">Set functions</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+efficiency%22">Economic efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+%26+demand%22">Supply & demand</searchLink><br /><searchLink fieldCode="DE" term="%22Landscaping+industry%22">Landscaping industry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The vehicle-cargo matching (VCM) sector within the freight industry faces significant challenges, including substantial fluctuations in vehicle-cargo supply and demand quantities and suboptimal matching efficiency. This study addresses these issues by innovatively establishing a multi-objective VCM decision model and segmenting typical business scenarios based on varying vehicle-cargo supply–demand ratios, with objective functions scientifically set according to the diverse requirements of each participant. This model fully considers the characteristics of the VCM system and is solved using appropriate Kuhn–Munkres (an improved Hungarian algorithm) algorithms to ensure efficient and accurate results. Evaluation indicators are also innovatively set from both economic and social benefit perspectives, incorporating managerial assessments and corporate development requirements. The study compares the impacts of different objective functions on VCM outcomes across various scenarios. Results indicate that, in most cases, the platform can achieve maximum profits without explicitly targeting profit maximization, thus accommodating other managerial assessment requirements. Compared to previous single-objective function studies, this approach increases economic efficiency by 22.14 % and decreases the empty driving rate by 12.1 % . The model is directly applicable to real-world logistics, offering a practical, comprehensive solution for maximizing resources and profitability within the evolving freight industry landscape. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) 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/s13369-024-09863-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 11347 Subjects: – SubjectFull: Profit maximization Type: general – SubjectFull: Set functions Type: general – SubjectFull: Economic efficiency Type: general – SubjectFull: Supply & demand Type: general – SubjectFull: Landscaping industry Type: general Titles: – TitleFull: A Multi-Objective Vehicle-Cargo Matching Decision Method Considering Market Supply–Demand Fluctuations and Diverse Stakeholder Interests. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Zhuoqun – PersonEntity: Name: NameFull: Shao, Yanci – PersonEntity: Name: NameFull: Liu, Guangsen IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2193567X Numbering: – Type: volume Value: 50 – Type: issue Value: 14 Titles: – TitleFull: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) Type: main |
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