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Research on lean supply chain network model based on node removal

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  • Zhao, Peixin
  • Yin, Shengnan
  • Han, Xue
  • Li, Zhuyue

Abstract

With the development of economic globalization, the competition among enterprises is increasingly intensified. Many industries have innovated and reformed their supply chains to reduce the structural complexity and enhance their competitive advantage. Since the large number and diversity of nodes are the main reasons for the structural complexity, the lean of supply chain network models is realized by node removal in this paper: a node removal cost model is presented innovatively, and then a memetic algorithm is proposed based on the principles of resource finiteness, structural leanness and network robustness. Compared with some other heuristic algorithms, the effectiveness and efficiency of this algorithm are illustrated by some numerical examples. This research will provide a methodological reference for the lean of supply chain structure.

Suggested Citation

  • Zhao, Peixin & Yin, Shengnan & Han, Xue & Li, Zhuyue, 2021. "Research on lean supply chain network model based on node removal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    • Handle: RePEc:eee:phsmap:v:567:y:2021:i:c:s0378437120308542
    DOI: 10.1016/j.physa.2020.125556
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    References listed on IDEAS

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    1. Kazi Arif-Uz-Zaman & A.M.M. Nazmul Ahsan, 2014. "Lean supply chain performance measurement," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(5), pages 588-612, June.
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    6. Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Complex interdependent supply chain networks: Cascading failure and robustness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 58-69.
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    Cited by:

    1. Fu, Xiuwen & Xu, Xiaojie & Li, Wenfeng, 2024. "Cascading failure resilience analysis and recovery of automotive manufacturing supply chain networks considering enterprise roles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    2. Kayvan Miri Lavassani & Bahar Movahedi, 2021. "Firm-Level Analysis of Global Supply Chain Network: Role of Centrality on Firm’s Performance," International Journal of Global Business and Competitiveness, Springer, vol. 16(2), pages 86-103, December.

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