English(EN) ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

ISOMORPH数字孪生为供应链预测提供新基准

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-12 21:31

研究人员推出ISOMORPH，这是一种专为供应链物流设计的新型数字孪生，填补了现有时间序列预测基准的空白。该模拟器提供了一个可配置的多层网络，具有可解释的参数，能够生成真实的数据集并研究鞭效应等现象。初步评估表明，包括Chronos和TimesFM在内的几款基础模型在使用ISOMORPH时，其表现与现有基准相当，证明了其在模拟和模型评估方面的实用性。 AI

影响为在复杂的供应链环境中评估时间序列预测模型提供了一个新基准。

排序理由该集群描述了一篇介绍用于供应链预测的新型模拟器和基准的学术论文。

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv stat.ML TIER_1 English(EN) · Zhizhen Zhang, Hyemin Gu, Benjamin J. Zhang, Daniel Elenius, Michael Tyrrell, Theo J. Bourdais, Houman Owhadi, Markos A. Katsoulakis, Tuhin Sahai · 2026-05-14 04:00

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

arXiv:2605.12768v1 Announce Type: new Abstract: Open time-series forecasting (TSF) benchmarks cover retail, energy, weather, and traffic, but supply-chain logistics remains underserved. We introduce ISOMORPH, the first public digital twin of a multi-echelon logistics network with…
arXiv stat.ML TIER_1 English(EN) · Tuhin Sahai · 2026-05-12 21:31

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

Open time-series forecasting (TSF) benchmarks cover retail, energy, weather, and traffic, but supply-chain logistics remains underserved. We introduce ISOMORPH, the first public digital twin of a multi-echelon logistics network with fully interpretable, user-configurable paramete…

报道来源 [2]

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

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