Simulation calibration from operating data

This technical brief treats simulation calibration from operating data as a decision system: define its state, objective, feasible actions and evidence before comparing algorithms.

Practitioner lens

Uncertainty assumptions drive the behavior of simulation calibration from operating data. Document how scenarios are generated, what dependencies they preserve and which low-probability cases deserve special attention.

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.