An open-source library specifically designed for modeling and simulating supply chain problems.

What is it about?

We are developing an open-source Python library named SupplyNetPy for modeling and simulating supply chains. In this paper, we provide a brief overview of the library and a literature review that we conducted to understand various aspects of supply chain modeling. Additionally, we discuss a prototype library called InvetOpt that we created for modeling and optimizing inventory networks. The review materials are openly available on a GitHub repository.

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Photo by David Vives on Unsplash

Photo by David Vives on Unsplash

Why is it important?

Ensuring an efficient supply chain is essential for meeting customer demand and reducing risks. Simulation-based methods are preferred over analytical methods for optimization as they allow for the modeling of the complex behavior of supply chains. Accurately modeling supply chains is crucial for further analysis or optimization, as modeling only a single aspect may not lead to the best overall outcome. Researchers often rely on commercial tools for modeling and simulating supply chains, and there is a lack of open-source tools for this purpose. Open-source tools promote collaboration, availability, and transparency. Therefore, we propose the development of an open-source library for modeling and simulating supply chains.

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