Modelling Cascading Physical Climate Risk in Supply Chains with Adaptive Firms: A Spatial Agent-Based Framework
📰 ArXiv cs.AI
A spatial agent-based framework models cascading physical climate risk in supply chains with adaptive firms
Action Steps
- Integrate geospatial flood hazards with agent-based models of firms and households
- Simulate direct asset losses and indirect disruptions through economic networks
- Implement firm adaptation through capital hardening and backup-supplier diversification
- Analyze simulation results to inform climate risk management strategies
Who Needs to Know This
Data scientists, AI engineers, and researchers on a team can benefit from this framework to simulate and analyze climate risk in supply chains, and product managers can use the insights to inform business decisions
Key Insight
💡 Adaptive firms can mitigate climate risk through capital hardening and backup-supplier diversification
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💡 Model climate risk in supply chains with adaptive firms using spatial agent-based framework
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