系统仿真学报 ›› 2015, Vol. 27 ›› Issue (2): 246-254.

• 仿真建模与仿真算法及数值仿真 • 上一篇    下一篇

基于无标度网络的制造网格资源配置仿真研究

张相斌, 李砚砚   

  1. 南京邮电大学,南京 210048
  • 收稿日期:2014-01-18 修回日期:2014-04-22 发布日期:2020-09-02
  • 作者简介:张相斌(1961),男,吉林,博士,教授,研究方向为物流与供应链管理;李砚砚(1989),女,南京,硕士生,研究方向为物流与供应链管理。
  • 基金资助:
    国家自然科学基金(70972083)

Research on Simulation of Manufacturing Grid Resource Allocation Based on Scale Free Network

Zhang Xiangbin, Li Yanyan   

  1. Nanjing University of Posts and Telecommunications, Nanjing 210048, China
  • Received:2014-01-18 Revised:2014-04-22 Published:2020-09-02

摘要: 为了研究制造网格资源配置的效率变化问题,结合制造资源的分布性、多样性等特点,应用无标度网络理论建立了制造网格资源配置的网络模型。通过对复杂网络的统计指标值和属性函数数值的计算,选择出合适的资源配置方案,实现全局资源优化配置。运用该模型和资源配置评价指标,通过仿真实验数据分析,得出资源配置的效率随着制造网格结构演化的变化规律:节点数不变时,整体资源配置效率在平均值上下摆动;任务节点数增加时,整体资源配置效率缓慢下降,趋于一个定值。该研究结果可以作为制造企业优化资源配置、选择全局优化方案的理论参考。

关键词: 无标度网络, 制造网格, 资源配置, 系统仿真

Abstract: In order to study the variation of resource allocation efficiency in manufacturing grid, the manufacturing grid resource allocation network model was established based on scale free network theory taking the manufacturing resource characteristics such as distribution and diversity into account. By calculation of the statistical indicators of complex networks and attribute functions, the appropriate resource allocation scheme was selected to realize global optimal resources allocation. Using this model and evaluation index of resource allocation, the variation rule was figured out that explained how resource allocation efficiency varied with structural evolution of manufacturing grid through analyzing the data from simulation experiment. The rule is: when the number of nodes is fixed, the global resource allocation efficiency swings up and down at the average value; when the task nodes’ number increasing, the global resource allocation efficiency decreases slowly and tends to a fixed value. The result of this study is a theoretical reference to help manufacturing enterprises optimize the allocation of resources and select the global optimization scheme.

Key words: scale free network, manufacturing grid, resource allocation, system simulation

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