Article: Resilience enhancement in heterogeneous supply chain networks: complex network analysis and collaborative optimisation of intelligent systems Journal: International Journal of Environment and Sustainable Development (IJESD) 2026 Vol.25 No.5 pp.24 - 43 Abstract: This paper enhances supply chain resilience using complex network analysis and intelligent optimisation. A heterogeneous network model is built to identify node dependencies and vulnerabilities. Q-learning and PSO algorithms optimise resource allocation, inventory, and transportation paths while a dynamic adjustment mechanism based on fuzzy logic adapts to real-time feedback. Compared to existing methods, our approach shows shorter recovery times (18.4 h, 18.19 h, 17.35 h for supplier failure, transportation delay, and demand fluctuation), stronger network connectivity, and higher resource utilisation. This demonstrates improved proactive resilience and the ability to cope with external shocks. Inderscience Publishers - linking academia, business and industry through research

Title: Resilience enhancement in heterogeneous supply chain networks: complex network analysis and collaborative optimisation of intelligent systems

Authors: Qiang Zhou

Addresses: New Epoch School of Tourism and Civil aviation Management, Haikou University of Economics, Haikou, 570000, Hainan, China

Abstract: This paper enhances supply chain resilience using complex network analysis and intelligent optimisation. A heterogeneous network model is built to identify node dependencies and vulnerabilities. Q-learning and PSO algorithms optimise resource allocation, inventory, and transportation paths while a dynamic adjustment mechanism based on fuzzy logic adapts to real-time feedback. Compared to existing methods, our approach shows shorter recovery times (18.4 h, 18.19 h, 17.35 h for supplier failure, transportation delay, and demand fluctuation), stronger network connectivity, and higher resource utilisation. This demonstrates improved proactive resilience and the ability to cope with external shocks.

Keywords: heterogeneous supply chain network; complex network analysis; intelligent collaborative optimisation; risk prediction; dynamic adjustment mechanism.

DOI: 10.1504/IJESD.2026.151849

International Journal of Environment and Sustainable Development, 2026 Vol.25 No.5, pp.24 - 43

Received: 25 Feb 2025
Accepted: 16 Sep 2025
Published online: 23 Feb 2026 *

Title: Resilience enhancement in heterogeneous supply chain networks: complex network analysis and collaborative optimisation of intelligent systems

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