TY - DATA T1 - Code: Complex Stylized Supply Chain Model - Automatic Graph Generator PY - 2024/07/22 AU - Isabelle van Schilt UR - DO - 10.4121/48bdc725-a1db-4b87-8508-aee808713957.v1 KW - simulation KW - model KW - graph generator KW - supply chain N2 -
This repository is part of the Ph.D. thesis of Isabelle M. van Schilt, Delft University of Technology.
This repository presents a complex stylized supply chain discrete event simulation model of a counterfeit Personal Protective Equipment (PPE) supply chain. Additionally, this repository presents scripts for automatically generating a discrete event simulation model from a networkx graph. The generation of a large set of randomly generated networkx graphs based on real-world data, which can be automatically ran as a simulation model, is also presented. This contributes to research on structural uncertainty in models. This code is an extension of the Master Thesis of Bruno Hermans , Delft University of Technology.
The simulation models are developed in pydsol-core and pydsol-model . For the real-world data, we use the repository port_data_graphs to create various graph structures based on open-source data.
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