This concept uses the same underlying logic as the rest of the site: once a network is stressed, weak assumptions become visible fast. Supply chains are a natural setting for that kind of work because they combine incentives, delays, dependencies, and incomplete information.
Core problem
Supply networks often appear efficient while conditions are calm, then fail when transportation links, suppliers, or demand patterns are disrupted together. The goal is not to predict every shock. It is to understand which decisions make the network more resilient across many possible shocks.
Approach
- Map a stylized multi-tier supply network with clear dependencies.
- Simulate disruption scenarios such as delays, closures, and sudden demand changes.
- Compare design choices such as multi-sourcing, inventory buffers, and rerouting logic.
- Build a simple decision-support view that makes resilience tradeoffs easy to see.
Expected output
The clearest outputs would be critical-link maps, scenario dashboards, and resilience-versus-cost comparisons. It is a good project because it stays concrete and visually legible while still showing serious systems thinking.