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

DOI10.1016/j.chaos.2018.09.018zbMath1442.90021OpenAlexW2893815353WikidataQ129197338 ScholiaQ129197338MaRDI QIDQ2201339

Hua Wang, Rong Zhao, Tao Gu, Guan-xiang Wang, Mao-Zhu Jin

Publication date: 29 September 2020

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2018.09.018

zbMATH Keywords

complexitysupply chaincomplex networkdisruption risksDSM

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Stochastic network models in operations research (90B15)

Related Items (4)

Risk transmission in complex supply chain network with multi-drivers ⋮ Supply chain vulnerability assessment for manufacturing industry ⋮ Unnamed Item ⋮ Multi-criteria risk classification to enhance complex supply networks performance

Cites Work

• Unnamed Item
• Revan and hyper-Revan indices of octahedral and icosahedral networks
• Emergence of Scaling in Random Networks
• On problems of Topological Dynamics in non-autonomous discrete systems

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