Model predictive control for replenishment

A method that performs well on average may still fail at the tail. This note examines model predictive control for replenishment with attention to stress cases, feasibility and operational control.

Practitioner lens

A model for model predictive control for replenishment should state its objective and feasible set explicitly. Hidden penalty weights or relaxed constraints can make an impressive result operationally impossible.

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.