Physics-informed models for process constraints

A method that performs well on average may still fail at the tail. This note examines physics-informed models for process constraints with attention to stress cases, feasibility and operational control.

Practitioner lens

A responsible implementation of physics-informed models for process constraints includes a fallback policy, approval thresholds, model-version records and a way to explain infeasible or conflicting recommendations.

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.