Reconstructing a fractal supply chain network based on geographical characteristics

To improve the resilience of the supply chain, this paper selects an "alternative" for supplier nodes in different scale regions based on the self-similarity of geographical structure in the evolution of the supply chain network, so as to realize the reconfiguration of the supply chain. Second, a model for supply chain risk propagation is created. The model assumes that when a supplier node fails as a result of an external shock, an alternative node can take over the seed provider node's supply function, enhancing the supply chain network's fault tolerance and recovery. Finally, the real supply chain data of a manufacturing enterprise are obtained, and its structure is reconstructed using the model built in this paper. On this basis, the robustness of the initial supply chain and the fractal supply chain is measured separately, as well as the risk propagation in the two supply chains. The experimental results show that the supply chain structure established in this paper has strong robustness and can better resist risk propagation. This paper breaks through the problem that the construction of a fractal supply chain remains at the theoretical level and forms a concrete and operational industrial application, which has important theoretical and practical values.