Mixed-integer lot-sizing under setup costs

Model complexity should earn its place through better decisions, not novelty. This article explores mixed-integer lot-sizing under setup costs and the baselines needed to establish its incremental value.

Practitioner lens

Uncertainty assumptions drive the behavior of mixed-integer lot-sizing under setup costs. Document how scenarios are generated, what dependencies they preserve and which low-probability cases deserve special attention.

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.