Robust optimization with uncertain lead times

Advanced planning methods are only useful when they improve a real decision under real constraints. Here, robust optimization with uncertain lead times is framed as a testable system-design choice.

Practitioner lens

Stress-test robust optimization with uncertain lead times beyond the average case. Tail events, correlated shortages and delayed information often determine whether a policy is robust enough to use.

First experiment

Compare against a transparent baseline under both routine conditions and deliberately adverse scenarios.

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