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New open-source Python library for supply chain simulation released

A new open-source Python library called SupplyNetPy has been developed for high-fidelity modeling and simulation of supply chain and inventory networks. This library allows users to describe supply chains as graphs and handles the simulation process, providing detailed performance reports. SupplyNetPy is designed to facilitate programmatic generation of complex models for tasks such as design-space exploration, what-if analysis, and the creation of supply chain digital twins. AI

IMPACT Enables advanced supply chain analysis and digital twin creation through programmatic simulation.

RANK_REASON The item is a research paper introducing an open-source library. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New open-source Python library for supply chain simulation released

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The item is a research paper introducing an open-source library. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tushar Lone, Neha Karanjkar ·

    SupplyNetPy: An Open-Source Python Library for High-Fidelity Modeling and Simulation of Arbitrary Supply Chain and Inventory Networks

    arXiv:2607.09745v1 Announce Type: new 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 polici…