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. |
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| 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] |
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| Database: | Engineering Source |
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| 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] |
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| ISSN: | 00207543 |
| DOI: | 10.1080/00207543.2025.2545435 |
