| 物流保障网络级联失效临界抗毁性 |
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| 引用本文： | 李勇,吴俊,谭跃进.物流保障网络级联失效临界抗毁性[J].系统仿真学报,2012,24(5):1030-1034. |
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| 作者姓名： | 李勇 吴俊 谭跃进 |
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| 作者单位： | 1. 长沙学院,长沙410003／湖南大学经济与贸易学院,长沙410079
2. 国防科技大学信息系统与管理学院,长沙,410073 |
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| 基金项目： | 国家自然科学基金(60904065,71101013);湖南省自然科学基金(11JJ4061);湖南省教育厅优秀青年基金(11B013) |
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| 摘 要： | 针对军事决策者所关心的"物流保障网络抗毁性"与"物流保障网络负载临界值"的问题进行了研究,首先分析了物流保障网络的特点,建立了度均匀随机分布的网络模型和负载局部扩展的级联失效抗毁性模型,并运用了多维分支过程方法求解网络级联失效的临界值。研究发现:容量均匀分布的物流保障网络中,当网络负载超过临界负载时,一个随机故障将引起网络瘫痪。最后通过一个仿真实例分析了物流保障网络节点最大度分别为5、6、8、10、12时的级联失效抗毁性临界值,并给出了仿真结果与解析推导存在误差的原因。
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| 关 键 词： | 保障网络 级联失效 抗毁性 分支过程 |
Critical Invulnerability Study for Cascading Failure of Tactical Logistics Networks |
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| LI Yong,WU Jun,TAN Yue-Jin.Critical Invulnerability Study for Cascading Failure of Tactical Logistics Networks[J].Journal of System Simulation,2012,24(5):1030-1034. |
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| Authors: | LI Yong WU Jun TAN Yue-Jin |
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| Institution: | 1.Changsha University,Changsha 410003,China;2.College of Information Systems and Management,National University of Defense Technology,Changsha 410073,China;3.College of Economics and Trade,Hunan University,Changsha 410079,China) |
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| Abstract: | The issues about "logistics support network survivability" and "logistics support network load threshold" were studied that military decision-makers concerned.Firstly,the characteristics of the logistics support network were analyzed;a network model with uniform and random degree distribution and a cascading failure survivability model with local load expansion were established.Then,critical values of the network cascading failure were obtained through multidimensional branching processing.It was found that in the logistics support network with uniform distributed capacity,when network load exceeded the critical load,a random network failure would cause paralysis.Finally,the critical values of cascading failure survivability were analyzed through simulation when the maximum degrees of nodes in the logistics support network were 5,6,8,10,12 respectively.The simulation results and the reasons for analytic deduction errors were given. |
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| Keywords: | logistics networks cascading failure invulnerability branching process |
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