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云制造模式下QoS驱动的制造服务协作网络演化模型 被引量:1

QoS-driven Evolution Model of Manufacturing Service Collaborative Networkincloud Manufacturing Mode
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摘要 根据云制造服务网络本身所具有的自组织特点,以复杂网络的角度和观点来研究云制造模式下的制造服务相互作用关系,提出QoS驱动的制造服务自组织演化模型。在该模型中综合考虑制造服务QoS驱动的择优性,协作关系的动态性、连接的约束性等特点,对可能的演化结果进行理论推导和证明,从理论上证明云制造服务协作网络具有无尺度特征。该项研究揭示了云制造模式下制造服务协作的性质和演化规律提供一种新方法,为进一步探索云制造系统动力学特性提供理论基础。 According tocloud manufacturing services network itself with selforganizing characteristics, from the point of complex network to study the cloud manufacturing model of manufacturing service interaction relations, QoS-driven manufacturing services self-organization evolution model was proposed. It comprehen-sively consider the characteristics of the selection of excellence of QoS-driven manufacturing service, dy-namics of collaborative relationship, Connection of the binding etc in this model, the possible results of evolution was detailed for the theoretical derivation and proof and it theoretically proved that the cloud manufacturing services collaboration network with scalefree characteristics. The study reveals cloud manufacturing model of the nature of services collaboration and evolution law provides a new method and provide a theoretical basis in order to further explore the cloud manufacturing system dynamics.
出处 《组合机床与自动化加工技术》 北大核心 2017年第1期46-49,53,共5页 Modular Machine Tool & Automatic Manufacturing Technique
基金 新疆维吾尔自治区自然科学基金(2014211A008)
关键词 云制造 制造服务 协作网络 演化 cloud manufacturing manufacturing services collaborative network evolution
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  • 1施国强,朱耀琴,李伯虎,柴旭东.复杂虚拟样机工程的项目管理技术研究[J].系统仿真学报,2005,17(8):1905-1908. 被引量:3
  • 2潘丽君,范锐,王精业.基于作战仿真的军用通信网络战时抗毁性研究[J].计算机工程,2006,32(22):111-113. 被引量:7
  • 3谭跃进,吴俊,邓宏钟.复杂网络中节点重要度评估的节点收缩方法[J].系统工程理论与实践,2006,26(11):79-83. 被引量:257
  • 4FLAMMIA G. Application service providers: challenges and opportunities[J].IEEE Intelligent Systems and Their Applications, 2001,16(1) ,22-23.
  • 5SMITH A D, RUPP W T. Application service providers (ASP):moving downstream to enhance competitive advantage[J].Information Management and Computer Security, 2002,10(2/3) : 64-72.
  • 6TAO Fei, HU Yefa, ZHOU Zude. Study on manufacturing grid & its resource service optimal selection system [J]. International Journal of Advanced Manufacturing Technology, 2008,37(9/10) :1022 -1041.
  • 7FAN Y S, ZHAO D Z, ZHANG L Q, et al. Manufacturing grid needs, concept, and architecture[C]//Proceedings of the 2nd International Workshop on Grid and Cooperative Computing(GCC 2003). Berlin, Germany : Springer, 2003 :653-656.
  • 8PREISS K. Agile manufaeturing[J]. Computer-Aided Design, 1994,26(2) :83-84.
  • 9YUSUF Y Y, SARHADI M, GUNASEKARAN A. Agile manufacturing:the drivers, concepts and attributes[J]. International Journal of Production Economies, 1999, 62 (1/2) 33 -43.
  • 10ULIERU M, NORRIE D, KREMER R, et al. A multi resolution coilaborative architectcure for Web centric global manufacturing[J]. Information Sciences,2000,127(1/2) :3 -21.

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