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Network evolution model for supply chain with manufactures as the core

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Listed:
  • Haiyang Fang
  • Dali Jiang
  • Tinghong Yang
  • Ling Fang
  • Jian Yang
  • Wu Li
  • Jing Zhao

Abstract

Building evolution model of supply chain networks could be helpful to understand its development law. However, specific characteristics and attributes of real supply chains are often neglected in existing evolution models. This work proposes a new evolution model of supply chain with manufactures as the core, based on external market demand and internal competition-cooperation. The evolution model assumes the external market environment is relatively stable, considers several factors, including specific topology of supply chain, external market demand, ecological growth and flow conservation. The simulation results suggest that the networks evolved by our model have similar structures as real supply chains. Meanwhile, the influences of external market demand and internal competition-cooperation to network evolution are analyzed. Additionally, 38 benchmark data sets are applied to validate the rationality of our evolution model, in which, nine manufacturing supply chains match the features of the networks constructed by our model.

Suggested Citation

  • Haiyang Fang & Dali Jiang & Tinghong Yang & Ling Fang & Jian Yang & Wu Li & Jing Zhao, 2018. "Network evolution model for supply chain with manufactures as the core," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-28, January.
    • Handle: RePEc:plo:pone00:0191180
    DOI: 10.1371/journal.pone.0191180
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    References listed on IDEAS

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    Cited by:

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    2. Shen, Ai-Zhong & Guo, Jin-Li & Wu, Guo-Lin & Jia, Shu-Wei, 2018. "The agglomeration phenomenon influence on the scaling law of the scientific collaboration system," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 461-467.
    3. Yang, Qihui & Scoglio, Caterina M. & Gruenbacher, Don M., 2021. "Robustness of supply chain networks against underload cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    4. Xuda Lin & Xing Li & Sameer Kulkarni & Fu Zhao, 2021. "The Application of Blockchain-Based Life Cycle Assessment on an Industrial Supply Chain," Sustainability, MDPI, vol. 13(23), pages 1-15, December.

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