Digital twin state synchronization

Advanced planning methods are only useful when they improve a real decision under real constraints. Here, digital twin state synchronization is framed as a testable system-design choice.

Practitioner lens

A responsible implementation of digital twin state synchronization includes a fallback policy, approval thresholds, model-version records and a way to explain infeasible or conflicting recommendations.

First experiment

Test the method at the level where the decision is executed, then inspect how aggregation changes results.

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