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Research Article

Simulation system design for critical-node detection and robustness analysis of supply chains

ORCID Icon, , ORCID Icon &
Article: 2326673 | Received 09 Oct 2022, Accepted 29 Feb 2024, Published online: 06 Mar 2024
 

ABSTRACT

A well-developed manufacturer requires a stable supply chain network that is robust to crises. In this study, a simulation system was developed to build a specialised supply chain model and analyse the critical nodes and risks. It makes three major theoretical contributions to literature. First, a novel supply chain model and cascading failure model are developed with adjustable power-law degree distributions for companies to identify suitable models. Second, a novel approach to the critical-node detection problem, considering cascading failure, is proposed. Finally, based on the proposed algorithm, supply chain vulnerability is analysed under two types of attacks.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors would like to acknowledge financial support from the Natural Science Foundation of Liaoning under grant 2022-MS-115.

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