计算机应用 ›› 2015, Vol. 35 ›› Issue (2): 560-565.DOI: 10.11772/j.issn.1001-9081.2015.02.0560

• 行业与领域应用 • 上一篇    下一篇

以制造商为核心的复杂供应链网络多级局域世界演化模型

孙军艳1,2, 傅卫平1, 王雯1   

  1. 1. 西安理工大学 机械与精密仪器工程学院, 西安 710048;
    2. 陕西科技大学 机电工程学院, 西安 710021
  • 收稿日期:2014-09-01 修回日期:2014-11-08 出版日期:2015-02-10 发布日期:2015-02-12
  • 通讯作者: 孙军艳
  • 作者简介:孙军艳(1978-),女,陕西大荔人,副教授,博士研究生,主要研究方向:物流信息、非线性动力学; 傅卫平 (1957-),男,上海人,教授,博士,主要研究方向:非线性动力学、现代物流系统; 王雯(1966-),女,陕西西安人,教授,博士,主要研究方向:非线性动力学、现代物流系统。
  • 基金资助:

    国家自然科学基金资助项目(10872160,11072192);陕西省教育厅自然科学基金项目资助项目(12JK0691)。

Evolving model of multi-local world based on supply chain network with core of manufacturers

SUN Junyan1,2, FU Weiping1, WANG Wen1   

  1. 1. College of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an Shaanxi 710048, China;
    2. College of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an Shaanxi 710021, China
  • Received:2014-09-01 Revised:2014-11-08 Online:2015-02-10 Published:2015-02-12

摘要:

为揭示以制造商为核心的供应链网络演化规律,以BA模型和多级局域世界理论为基础,结合现实网络中节点生成与退出机制,提出了一种五级局域世界网络模型。首先,研究了以制造商为核心的供应链网络的内在特性和演化机制;其次,分析了网络的拓扑结构和演化规则,建立了仿真模型;最后,仿真分析了不同时间步以及不同临界条件下节点数量、集聚系数、度分布等网络特性参数的变化,推导出网络的演化规律。仿真结果表明:以制造商为核心的供应链网络具有无标度、高集聚性;随着时间的推进以及节点增长速度的增加,网络整体的度分布趋近于指数为3的幂律分布;网络内各级局域世界的度分布不同,二级供应商、零售商的度服从幂律分布,一级供应商和分销商的度服从指数分布,制造商的度大致服从泊松分布。

关键词: 多级局域世界, 供应链网络, 演化模型, 度分布, 集聚系数, 幂律分布

Abstract:

In order to reveal the evolution rules of supply chain network with the core of manufacturers, a kind of five-level local world network model was put forward. This model used the BA model and the multi-local world theory as the foundation, combined with the reality of network node generation and exit mechanism. First of all, the intrinsic characteristics and evolution mechanism of network were studied. Secondly, the topology structure and evolution rules of the network were analyzed, and the simulation model was established. Finally, the changes of network characteristic parameters were simulated and analyzed in different time step and different critical conditions, including nodes number, clustering coefficient and degree distribution, then the evolution law of the network was derived. The simulation results show that the supply chain network with the core of manufacturers has the characteristics of scale-free and high concentration. With the increase of time and the growth rate of the network nodes, the degree distribution of overall network approaches to the power-law distribution with the exponent three. The degree distribution of the network at all levels is different, sub-tier suppliers and retailers obey power-law distribution, suppliers and distributors obey exponential distribution, manufacturers generally obey the Poisson distribution.

Key words: multi-local world, supply chain network, evolving model, degree distribution, clustering coefficient, power-law distribution

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