Complex network topology design on technology collaboration: small-world characteristics for intelligent manufacturing.
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| Title: | Complex network topology design on technology collaboration: small-world characteristics for intelligent manufacturing. |
|---|---|
| Authors: | Liu, Xiaohang1 (AUTHOR), Liu, Kanglin2 (AUTHOR), Zhang, Zhi-hai1 (AUTHOR) zhzhang@tsinghua.edu.cn |
| Source: | International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p10167-10188. 22p. |
| Subjects: | Computer network architectures, Mathematical optimization, Systems design, Management science, Industry 4.0 |
| Abstract: | After a decade of active exploration, the revolution of intelligent manufacturing has entered a new phase of development. After gaining valuable experience during the pilot phase, pioneers are currently concentrating on scaling successful production models to new sites. In this process, one critical challenge lies in replicating the intricate architecture of technology collaboration within intelligent manufacturing systems, which operates as a complex network. Empirical evidence reveals that these networks exhibit small-world characteristics, promoting transparency and integration in manufacturing systems. While enterprises often rely on existing collaboration structures as references when designing the architecture for new sites, these replication efforts typically lack systematic optimisation. In response, this paper proposes a topology network design model to optimise the replication of these networks, integrating small-world properties to enhance communication efficiency and resilience while balancing costs and benefits. An enhanced combinatorial Benders decomposition approach is proposed to solve the model. Numerical experiments based on a real-world case study highlight the model's effectiveness in balancing global connectivity with local collaborations. Supported by empirical analysis from the real case, the results further highlight the bridging role of core technologies in connecting functional modules and the importance of peripheral technologies in mitigating cascading failures. [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: 189933538 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Complex network topology design on technology collaboration: small-world characteristics for intelligent manufacturing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Xiaohang%22">Liu, Xiaohang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Kanglin%22">Liu, Kanglin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhi-hai%22">Zhang, Zhi-hai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhzhang@tsinghua.edu.cn</i> – 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 24, p10167-10188. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+network+architectures%22">Computer network architectures</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Management+science%22">Management science</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: After a decade of active exploration, the revolution of intelligent manufacturing has entered a new phase of development. After gaining valuable experience during the pilot phase, pioneers are currently concentrating on scaling successful production models to new sites. In this process, one critical challenge lies in replicating the intricate architecture of technology collaboration within intelligent manufacturing systems, which operates as a complex network. Empirical evidence reveals that these networks exhibit small-world characteristics, promoting transparency and integration in manufacturing systems. While enterprises often rely on existing collaboration structures as references when designing the architecture for new sites, these replication efforts typically lack systematic optimisation. In response, this paper proposes a topology network design model to optimise the replication of these networks, integrating small-world properties to enhance communication efficiency and resilience while balancing costs and benefits. An enhanced combinatorial Benders decomposition approach is proposed to solve the model. Numerical experiments based on a real-world case study highlight the model's effectiveness in balancing global connectivity with local collaborations. Supported by empirical analysis from the real case, the results further highlight the bridging role of core technologies in connecting functional modules and the importance of peripheral technologies in mitigating cascading failures. [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: 10.1080/00207543.2025.2545435 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 10167 Subjects: – SubjectFull: Computer network architectures Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Systems design Type: general – SubjectFull: Management science Type: general – SubjectFull: Industry 4.0 Type: general Titles: – TitleFull: Complex network topology design on technology collaboration: small-world characteristics for intelligent manufacturing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Xiaohang – PersonEntity: Name: NameFull: Liu, Kanglin – PersonEntity: Name: NameFull: Zhang, Zhi-hai IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 63 – Type: issue Value: 24 Titles: – TitleFull: International Journal of Production Research Type: main |
| ResultId | 1 |
