#machine learning
May 2026
ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks
This work introduces ISOMORPH, the first public digital twin of a multi-echelon logistics network with interpretable, user-configurable parameters and modular topology, demand, and control rules, and introduces forecasting regimes that differ from standard real-world TSF benchmarks.
Zhizhen Zhang, Hyemin Gu, Benjamin J. Zhang et al.
· arXiv.org · 0 citations