The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/48bdc725-a1db-4b87-8508-aee808713957

van Schilt, Isabelle (2024): Code: Complex Stylized Supply Chain Model - Automatic Graph Generator. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/48bdc725-a1db-4b87-8508-aee808713957.v1

Software

• Interdisciplinary Engineering
• Engineering
• Transport

graph generator, model, simulation, supply chain

CC BY-NC-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Isabelle van Schilt

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.

• 2024-07-22 first online, published, posted

4TU.ResearchData

*.py

TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems (MAS)