Resilience enhancement in heterogeneous supply chain networks: complex network analysis and collaborative optimisation of intelligent systems
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.
Fields of Study & Subjects
Supply Chain Resilience and Risk Management
Supply Chain and Inventory Management
Infrastructure Resilience and Vulnerability Analysis
Publication details
- Journal / source
- International Journal of Environment and Sustainable Development
- Volume
- 25
- Issue
- 5
- Pages
- 24–43
- Publication date
- 1 January 2026
- Language
- EN