中国物理B ›› 2017, Vol. 26 ›› Issue (11): 110505-110505.doi: 10.1088/1674-1056/26/11/110505

• SPECIAL TOPIC—Non-equilibrium phenomena in soft matters • 上一篇    下一篇

Empirical topological investigation of practical supply chains based on complex networks

Hao Liao(廖好), Jing Shen(沈婧), Xing-Tong Wu(吴兴桐), Bo-Kui Chen(陈博奎), Mingyang Zhou(周明洋)   

  1. 1. National Engineering Laboratory for Big Data Computing Systems, Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;
    2. Department of Computer Science, School of Computing, National University of Singapore, Singapore 117417, Singapore
  • 收稿日期:2017-06-14 修回日期:2017-07-19 出版日期:2017-11-05 发布日期:2017-11-05
  • 基金资助:

    Project supported by the National Natural Science Foundation of China (Grant Nos. 11547040 and 61703281), Guangdong Province Natural Science Foundation, China (Grant Nos. 2016A030310051 and 2015KONCX143), Shenzhen Fundamental Research Foundation, China (Grant Nos. JCYJ20150625101524056 and JCYJ20160520162743717), SZU Student Innovation Fund, China, the PhD Start-up Fund of Natural Science Foundation of Guangdong Province, China (Grant No. 2017A030310374), the Young Teachers Start-up Fund of Natural Science Foundation of Shenzhen University, China, the Natural Science Foundation of SZU, China (Grant No. 2016-24), and the Singapore Ministry of Education Academic Research Fund Tier 2 (Grant No. MOE 2013-T2-2-033).

Empirical topological investigation of practical supply chains based on complex networks

Hao Liao(廖好)1, Jing Shen(沈婧)1, Xing-Tong Wu(吴兴桐)1, Bo-Kui Chen(陈博奎)2, Mingyang Zhou(周明洋)1   

  1. 1. National Engineering Laboratory for Big Data Computing Systems, Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;
    2. Department of Computer Science, School of Computing, National University of Singapore, Singapore 117417, Singapore
  • Received:2017-06-14 Revised:2017-07-19 Online:2017-11-05 Published:2017-11-05
  • Contact: Mingyang Zhou E-mail:zmy@szu.edu.cn
  • Supported by:

    Project supported by the National Natural Science Foundation of China (Grant Nos. 11547040 and 61703281), Guangdong Province Natural Science Foundation, China (Grant Nos. 2016A030310051 and 2015KONCX143), Shenzhen Fundamental Research Foundation, China (Grant Nos. JCYJ20150625101524056 and JCYJ20160520162743717), SZU Student Innovation Fund, China, the PhD Start-up Fund of Natural Science Foundation of Guangdong Province, China (Grant No. 2017A030310374), the Young Teachers Start-up Fund of Natural Science Foundation of Shenzhen University, China, the Natural Science Foundation of SZU, China (Grant No. 2016-24), and the Singapore Ministry of Education Academic Research Fund Tier 2 (Grant No. MOE 2013-T2-2-033).

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摘要：

The industrial supply chain networks basically capture the circulation of social resource, dominating the stability and efficiency of the industrial system. In this paper, we provide an empirical study of the topology of smartphone supply chain network. The supply chain network is constructed using open online data. Our experimental results show that the smartphone supply chain network has small-world feature with scale-free degree distribution, in which a few high degree nodes play a key role in the function and can effectively reduce the communication cost. We also detect the community structure to find the basic functional unit. It shows that information communication between nodes is crucial to improve the resource utilization. We should pay attention to the global resource configuration for such electronic production management.

关键词: China supply chain networks, complex networks, data science, network science

Abstract:

The industrial supply chain networks basically capture the circulation of social resource, dominating the stability and efficiency of the industrial system. In this paper, we provide an empirical study of the topology of smartphone supply chain network. The supply chain network is constructed using open online data. Our experimental results show that the smartphone supply chain network has small-world feature with scale-free degree distribution, in which a few high degree nodes play a key role in the function and can effectively reduce the communication cost. We also detect the community structure to find the basic functional unit. It shows that information communication between nodes is crucial to improve the resource utilization. We should pay attention to the global resource configuration for such electronic production management.

Key words: China supply chain networks, complex networks, data science, network science

中图分类号:  (Self-organized systems)

  • 05.65.+b
05.45.-a (Nonlinear dynamics and chaos) 05.10.Gg (Stochastic analysis methods)