CVaR-based disruption planning

A deployable approach must explain what it optimizes, what it leaves uncertain and when it should defer. Those questions guide this brief on cvar-based disruption planning.

Practitioner lens

Stress-test cvar-based disruption planning beyond the average case. Tail events, correlated shortages and delayed information often determine whether a policy is robust enough to use.

First experiment

Report feasibility, tail outcomes, runtime and sensitivity—not only the best-case objective value.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.