Graph-based Digital Twin for Supply Chain Resilience. Simulates cascading failures, rerouting, and economic impact across multi-tier logistics networks using NetworkX and Streamlit.
-
Updated
Mar 18, 2026 - Python
Graph-based Digital Twin for Supply Chain Resilience. Simulates cascading failures, rerouting, and economic impact across multi-tier logistics networks using NetworkX and Streamlit.
Predicts how a single train delay cascades through India's 13,000+ train network using Graph Analysis, Cascade Simulation & XGBoost ML
Add a description, image, and links to the cascade-simulation topic page so that developers can more easily learn about it.
To associate your repository with the cascade-simulation topic, visit your repo's landing page and select "manage topics."