Resilience assessment of power grid’s key material supply chain based on cloud model

To enhance the resilience of the power grid’s key material supply chain and ensure the safety, stability, and robust development of the power industry, the paper employs the Wuli-Shili-Renli (WSR) Methodology to construct a resilience evaluation system comprising both quantitative and qualitative indicators. The paper utilizes the cloud model to facilitate the conversion between qualitative concepts and quantitative parameters, employing comprehensive method to determine the weights of indicators. Moreover, the study evaluates the supply chain resilience of critical and representative enterprises through the example of the cable supply chain. The findings indicate that the cable supply chain achieves the highest score in the 'Renli' primary indicator, with other two primary indicators and overall resilience performing well. However, shortcomings are identified in the secondary indicators related to 'supply chain network structure' and 'human resource management.' Based on these evaluation results, the paper proposes corresponding strategies for enhancing resilience, offering guidance for the State Grid Corporation of China.

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Published
2025-01-16
DOI
https://doi.org/10.1117/12.3045047
Primary Topic
Evaluation and Optimization Models
Type
article
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article

Resilience assessment of power grid’s key material supply chain based on cloud model

Jiahao Xu, Chao Xie, Yue Xi, Yu Gu
Evaluation and Optimization Models
article

Resilience assessment of power grid’s key material supply chain based on cloud model

Jiahao Xu, Chao Xie, Yue Xi, Yu Gu
article en

Abstract

To enhance the resilience of the power grid’s key material supply chain and ensure the safety, stability, and robust development of the power industry, the paper employs the Wuli-Shili-Renli (WSR) Methodology to construct a resilience evaluation system comprising both quantitative and qualitative indicators. The paper utilizes the cloud model to facilitate the conversion between qualitative concepts and quantitative parameters, employing comprehensive method to determine the weights of indicators. Moreover, the study evaluates the supply chain resilience of critical and representative enterprises through the example of the cable supply chain. The findings indicate that the cable supply chain achieves the highest score in the 'Renli' primary indicator, with other two primary indicators and overall resilience performing well. However, shortcomings are identified in the secondary indicators related to 'supply chain network structure' and 'human resource management.' Based on these evaluation results, the paper proposes corresponding strategies for enhancing resilience, offering guidance for the State Grid Corporation of China.

Wuhan Polytechnic University (CN), State Grid Corporation of China (China) (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 99%
Evaluation and Optimization Models
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Resilience assessment of power grid’s key material supply chain based on cloud model — Jiahao Xu, Chao Xie, et al. · (2025) | TGRS Research Map | TGRS