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 - <p>This repository is part of the Ph.D. thesis of <a href="https://www.tudelft.nl/staff/i.m.vanschilt/?cHash=74e749835b2a89c6c76b804683ffbbcf" target="_blank">Isabelle M. van Schilt</a>, Delft University of Technology. </p><p></p><p>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.</p><p></p><p>The simulation models are developed in <a href="https://github.com/averbraeck/pydsol-core" target="_blank">pydsol-core</a> and <a href="https://github.com/imvs95/pydsol-model" target="_blank">pydsol-model</a> . For the real-world data, we use the repository <a href="https://github.com/imvs95/port_data_graphs" target="_blank">port_data_graphs</a> to create various graph structures based on open-source data.</p> ER -