SupplyNetPy：用于高保真供应链与库存网络建模仿真的开源 Python 库
SupplyNetPy: An Open-Source Python Library for High-Fidelity Modeling and Simulation of Arbitrary Supply Chain and Inventory Networks
AI 导读
论文介绍开源 Python 库 SupplyNetPy，可对任意多级结构的供应链网络进行建模与离散事件仿真，支持多种补货策略、易腐库存、节点中断及随机需求和提前期。组件均可通过继承扩展，并提供节点与网络级性能报告，验证结果对照解析基准、商业工具和已发表案例研究。其核心动机是支持程序化生成复杂模型，用于设计空间探索、what-if 分析、训练数据生成和供应链数字孪生。
正文 · 原文
Abstract:This paper introduces SupplyNetPy, an open-source, well-documented Python library for modeling and discrete-event simulation of supply chain networks with arbitrary multi-echelon structures. It supports multiple replenishment policies, perishable inventory, node disruptions, and stochastic demand and lead times. All components are extensible via inheritance. Users describe a supply chain as a graph with node and link attributes, while the library handles simulation, providing logs and extensive node and network level performance reports. This paper presents the motivation, design, key features, and architecture of SupplyNetPy, along with detailed validation results (against analytical benchmarks, a commercial tool, and a published case study). A key motivation behind SupplyNetPy's development is programmatic generation and simulation of complex models, enabling design-space exploration, what-if analysis, training data generation, and supply chain digital twins.
| Comments: | Accepted to the Winter Simulation Conference 2026 |
| Subjects: | Artificial Intelligence (cs.AI); Machine Learning (cs.LG) |
| ACM classes: | I.6.7 |
| Cite as: | arXiv:2607.09745 [cs.AI] |
| (or arXiv:2607.09745v2 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2607.09745 arXiv-issued DOI via DataCite |
Submission history
From: Tushar Lone [view email]
[v1]
Fri, 3 Jul 2026 13:35:56 UTC (460 KB)
[v2]
Tue, 10 Nov 2026 18:13:13 UTC (460 KB)
来源：arXiv cs.AI · arxiv.org