Digital twin experiment governance

A deployable approach must explain what it optimizes, what it leaves uncertain and when it should defer. Those questions guide this brief on digital twin experiment governance.

Practitioner lens

For digital twin experiment governance, measure solution feasibility and runtime alongside the objective. A theoretically stronger model may be less valuable if planners cannot obtain a usable answer on time.

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.