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基于复杂网络模型的协同制造资源的统计分析 被引量:1

Statistics of collaborative manufacturing resource based on complex networks
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摘要 将复杂网络理论及方法应用于区域协同制造中关键资源的统计、发现,提出了区域协同制造资源网络的构建过程及其统计分析方法。在区域协同制造资源网络中,将资源抽象为网络节点,将任意资源之间的可合作性抽象为网络边。通过定义、计算、分析节点的度、强度、聚集系数等参数及其关系,揭示了各节点在网络中的重要程度。最后,通过一个实例的计算,表明了该方法的可行性。 A method based on complex networks for statistics of regional collaborative manufacturing resource is given. The process for constructing complex resource networks and the statistics method are presented. The importance of vertex in the network is revealed by evaluating the parameters such as degree ,degree strength and clustering coefficients. In the end,an example is presented to prove its feasibility.
出处 《机械设计与制造》 北大核心 2009年第1期185-186,共2页 Machinery Design & Manufacture
关键词 区域协同制造 资源 复杂网络 Regional collaborative manufacturing Resource Complex networks
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  • 1邵新宇,李培根,马卫东,段正澄.CIM及并行工程中的设备环境建模[J].华中理工大学学报,1995,23(2):14-17. 被引量:13
  • 2陈云,严隽琪,方明伦.基于面向对象与STEP技术的制造环境模型研究[J].机械工程学报,1996,32(4):5-10. 被引量:11
  • 3World Wide Web Consortium. Extensible Markup Language (XML)1.0. http://www. w3. org/TR/REC- xml, 2003
  • 4Pine B J. Mass Customization. The New Frontier in Business Competition. Boston MA: Harvard Business School Press, 1993.
  • 5Albert R, Barabási A L. Statistical mechanics of complex networks. Review of Modern Physics, 2002, 74 (1): 47~97.
  • 6Mark E J Newman. The structure and function of complex networks. SIAM Review: 2003, 45(2): 167~256.
  • 7Watts D J, Strogatz S H. Collective dynamics of smallworld networks. Nature, 1998, 393(6 684): 440~442.
  • 8Barabási A L, Albert R, Jeong H. Mean-field theory for scale-free networks. Physica. A, 1999, 272(A): 173 ~ 187.
  • 9Liu Z, Lai Y C, Ye N, et al. Connectivity distribution and attack tolerance of general networks with both preferential and random attachments. Physicas Letters A, 2002, 303(A):337~344.
  • 10Li X, Chen G. A local-world evolving network model.Physica A, 2003, 328(A): 274~286.

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  • 1孙惠斌,江平宇.基于复杂加权网络的移动协同空间分析[J].西安交通大学学报,2006,40(5):573-576. 被引量:4
  • 2HOU S M, HAN Y M, LIU Y X. Research on Web based collaborative markup system of product model[C]//Proceed- ings of 2008 International Conference on Intelligent Computation Technology and Automation(ICICTA). Washington, D. C. ,USA:IEEE,2008,2:853-857.
  • 3YANG Jianmei, HUANG Xizhong, ZHUANG Dong, et al. The complex network analysis of competitive relationships between manufacturers in foshan ceramic industry cluster[C]// Proceedings of International Conference on Management Seience and Engineering 2006. Washington, D. C., USA: IEEE, 2006 : 1020-1023.
  • 4TIAN Xueying, YE Minghai. Research on competitive advantages of enterprise by cooperating with nonprofit organization based on collaborative network[C]//Proeeedings of 2009 International Conference on Environmental Science and Informa- tion Application Technology. Washington, D. C., USA: IEEE, 2009.3,509-512.
  • 5JANAINA M, ROLANDO V V, JOAO A R S. Collaborative network governance: understanding social capital dimensions [C]//Proeeedings of International Symposium on Collaborative Technologies and Systems. Washington, D. C. , USA: IEEE,2009: 163-171.
  • 6微软的MSDN技术资源库.选择传输方式[EB/OL].(2009-12-01)[2010-08-28].http://msdn.microsoft.com/zh-cn/library/ms733769.aspx.
  • 7ITUY L, NOUM G, ZVI R, et al. Adaptive algorithms for choosing transmission parameters in dynamic channel conditions[C]//Proceedings of the 14th International Conference on Digital Signal Processing. Washington, D. C. , USA: IEEE, 2002,1:53-56.
  • 8WIKI. Data mining algorithms in R/clustering/K-cores[EB/ OL]. (2009-12-17)[2010-08-08]. http://en. wikibooks. org/wiki/Data_ Mining _ Algorithms _ In _ R/Clustering/K- Cores.
  • 9JAIN R, YALAMANCHILI H K, PAREKH N. Identifying structural repeats in proteins using graph centrality measures [C]//Proceedings of World Congress on Nature & Biologically Inspired Computing. Washington, D. C. , USA.. IEEE, 2009 : 110-115.
  • 10WETH V D C, BOHM K, HUTTER C. Optimizing multiple centrality computations for reputation systems[C]//Proceedings of International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Washington, D. C. , USA:IEEE,2010:160-167.

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