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Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory

Author

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  • Nai-Ru Xu
  • Jia-Bao Liu
  • De-Xun Li
  • Jun Wang

Abstract

The paper establishes the evolutionary mechanism model of agile supply chain network by means of complex network theory which can be used to describe the growth process of the agile supply chain network and analyze the complexity of the agile supply chain network. After introducing the process and the suitability of taking complex network theory into supply chain network research, the paper applies complex network theory into the agile supply chain network research, analyzes the complexity of agile supply chain network, presents the evolutionary mechanism of agile supply chain network based on complex network theory, and uses Matlab to simulate degree distribution, average path length, clustering coefficient, and node betweenness. Simulation results show that the evolution result displays the scale-free property. It lays the foundations of further research on agile supply chain network based on complex network theory.

Suggested Citation

  • Nai-Ru Xu & Jia-Bao Liu & De-Xun Li & Jun Wang, 2016. "Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, January.
    • Handle: RePEc:hin:jnlmpe:4346580
    DOI: 10.1155/2016/4346580
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    Cited by:

    1. Wei Cao & Xifu Wang, 2022. "Brittleness Evolution Model of the Supply Chain Network Based on Adaptive Agent Graph Theory under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    2. Mu, Dong & Ren, Huanyu & Wang, Chao & Yue, Xiongping & Du, Jianbang & Ghadimi, Pezhman, 2023. "Structural characteristics and disruption ripple effect in a meso-level electric vehicle Lithium-ion battery supply chain network," Resources Policy, Elsevier, vol. 80(C).
    3. Jianhua Chen & Ting Yin, 2023. "Transmission Mechanism of Post-COVID-19 Emergency Supply Chain Based on Complex Network: An Improved SIR Model," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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