Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145875
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dc.contributor.authorYang, Yue`en_US
dc.contributor.authorSun, Baofengen_US
dc.contributor.authorWang, Shaohuaen_US
dc.contributor.authorLi, Yongxingen_US
dc.contributor.authorLi, Xiaonien_US
dc.date.accessioned2021-01-13T04:17:47Z-
dc.date.available2021-01-13T04:17:47Z-
dc.date.issued2020-
dc.identifier.citationYang, Y., Sun, B., Wang, S., Li, Y., & Li, X. (2020). Controllability robustness against cascading failure for complex logistics networks based on nonlinear load-capacity model. IEEE Access, 8, 7993-8003. doi:10.1109/ACCESS.2020.2964143en_US
dc.identifier.issn2169-3536en_US
dc.identifier.other0000-0002-5907-2354-
dc.identifier.other0000-0002-9030-5523-
dc.identifier.other0000-0003-0992-7008-
dc.identifier.other0000-0002-3786-8730-
dc.identifier.other0000-0002-2350-7467-
dc.identifier.urihttps://hdl.handle.net/10356/145875-
dc.description.abstractIn order to achieve good connectivity after the cascading failure of a logistics network, this paper studies the controllability robustness of complex logistics network based on the nonlinear load-capacity (NLC) model. Firstly, the extended Baraba' si and Albert (BA) network is constructed as a complex logistics network for experiments, based on the power law distribution and the agglomeration and sprawl evolution mechanism. Secondly, the existence of the NLC relationship of the real logistics network is proved, and then the NLC model of complex logistics networks is proposed. Furthermore, a simulation analysis of the controllability robustness and influencing factors of the complex logistics network is carried out under four different cascading failure models. In those models, different scenarios of the NLC and the classical linear load-capacity (LLC) model with initial load (IL)/initial residual capacity (IRC) load-redistribution strategies are combined. The research results show that the main influencing factors of the cascading failure of complex logistics networks for the controllability robustness Pi are the tolerance parameters β and γ. Moreover, the effect of γ on the load-capacity relationship under the NLC model is more significant than that of β. Among the four cascading failure models, the one based on the NLC model with IRC strategy is the optimal for controllability robustness. Based on the optimal model, the simulation considering the perspective of the logistics economy shows that the relationship among the network cost e, Pi and γ is as follows: under a fixed cost, the greater is γ, the stronger is Pi. Also, when 2 < γ ≤ 9, the robustness of the network is controllable. According to the requirements of real logistics networks, both controllability robustness and the logistics cost can be controlled, and a solution that against cascading failure can be obtained by adjusting the minimum residual load.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Accessen_US
dc.rights© 2020 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.en_US
dc.subjectEngineering::Civil engineeringen_US
dc.titleControllability robustness against cascading failure for complex logistics networks based on nonlinear load-capacity modelen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.identifier.doi10.1109/ACCESS.2020.2964143-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85078321850-
dc.identifier.volume8en_US
dc.identifier.spage7993en_US
dc.identifier.epage8003en_US
dc.subject.keywordsComplex Logistics Networken_US
dc.subject.keywordsCascading Failureen_US
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