TY - DATA
T1 - Data underlying Ph.D. thesis: Large set of graphs and timeseries of supply chain simulation model
PY - 2024/07/22
AU - Isabelle van Schilt
UR - 
DO - 10.4121/adf4373c-7a9a-4d9c-a1ff-0f893d8d0b06.v1
KW - timeseries
KW - supply chain
KW - ground truth
KW - graphs
N2 - <p>This data is part of the Ph.D. thesis of <a href="https://www.tudelft.nl/staff/i.m.vanschilt/?cHash=74e749835b2a89c6c76b804683ffbbcf" target="_blank" style="background-color: transparent; color: var(--fgColor-accent, var(--color-accent-fg));">Isabelle M. van Schilt</a>, Delft University of Technology.</p><p><br></p><p>Data includes the time series data of the synthetic counterfeit PPE supply chain discrete event simulation model. This time series data is used for the paper of structural uncertainty and the quality diversity (QD) algorithm.</p><p><br></p><p>Also, the data includes the decision variables dictionary for both papers. These are two dictionaries in .pkl format that include 40.000 randomly generated graphs with real-world port data for the case study. One dictionary is sorted on betweenness, and the other (QD) on the density of the network. Following, a database example of 50.000 randomly generated graphs (without real-world data) has been included in this data.</p>
ER -