Enhancing Resilience in China’s Refined Oil Product Distribution Network: A Complex Network Theory Approach with Optimization Strategies

Considering the escalating international geopolitical tensions and the ensuing great power maneuvers, China’s oil supply faced unprecedented threats. To safeguard against these risks and harness domestic resources more effectively, addressing the stability of refined oil supply had become an urgent imperative. The complex network theory is integrated into oil product delivery logistics, accounting for transportation volumes, distances, and node importance. Through simulation, we evaluated each scheme’s efficacy using a case study from a province in northwest China. The results demonstrate notable improvements in network robustness across all four strategies. The key node focuses on protection measures emerged as the most effective, followed by the oil depot resource optimization strategy and the network topology optimization strategy, in descending order. By mitigating the risks stemming from international uncertainties, our strategies ensured the timely supply of refined oil products, thereby upholding the stable functioning of the national economy.

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Publication Details

Journal
Systems
Published
2026-01-08
DOI
https://doi.org/10.3390/systems14010069
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Resilience in China’s Refined Oil Product Distribution Network: A Complex Network Theory Approach with Optimization Strategies

Qingning Shen, Cen Song, Lin Lin, Tongtong Hou
Systems
Complex Network Analysis Techniques
article

Enhancing Resilience in China’s Refined Oil Product Distribution Network: A Complex Network Theory Approach with Optimization Strategies

Qingning Shen, Cen Song, Lin Lin, Tongtong Hou
article en

Abstract

Considering the escalating international geopolitical tensions and the ensuing great power maneuvers, China’s oil supply faced unprecedented threats. To safeguard against these risks and harness domestic resources more effectively, addressing the stability of refined oil supply had become an urgent imperative. The complex network theory is integrated into oil product delivery logistics, accounting for transportation volumes, distances, and node importance. Through simulation, we evaluated each scheme’s efficacy using a case study from a province in northwest China. The results demonstrate notable improvements in network robustness across all four strategies. The key node focuses on protection measures emerged as the most effective, followed by the oil depot resource optimization strategy and the network topology optimization strategy, in descending order. By mitigating the risks stemming from international uncertainties, our strategies ensured the timely supply of refined oil products, thereby upholding the stable functioning of the national economy.

SystemsVol. 14(1)
China University of Petroleum, Beijing (CN)
Openalex Percentile: Top 92%
Complex Network Analysis Techniques
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Enhancing Resilience in China’s Refined Oil Product Distribution Network: A Complex Network Theory Approach with Optimization Strategies — Qingning Shen, Cen Song, et al. · Systems (2026) | TGRS Research Map | TGRS