The complexity measurement and evolution analysis of supply chain network under disruption risks

Hua Wang, Tao Gu, Maozhu Jin, Rong Zhao and Guanxiang Wang

Chaos, Solitons & Fractals, 2018, vol. 116, issue C, 72-78

Abstract: Based on the study of the complexity of supply chain network, this chapter mainly analyzes the complexity of supply chain network structure in the context of disruption risk, and proposes a quantitative measurement method for the complexity of supply chain network based on DSM model. On this basis, this measure method is used to measure the complexity and evolution of ER random networks, small-world networks, and BA scale-free networks. Finally, the internal relationship between the complexity value, network size and connection probability is analyzed, which provides a theoretical basis for the structural design of supply chain network under the disruption risks.

Keywords: Complexity; Supply chain; Complex network; DSM; Disruption risks (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:116:y:2018:i:c:p:72-78

DOI: 10.1016/j.chaos.2018.09.018

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