Operations‑Research Methods for Large‑Scale Supply‑Chain Network Optimization
This article explains how operations‑research techniques such as mixed‑integer programming, column generation, and partitioned solving are applied to large‑scale supply‑chain network design, illustrating model formulation, constraints, computational challenges, and the benefits of generating high‑quality initial solutions for faster convergence.