Code: Calculate Supply Chain Visibility with Sparse Data
doi:10.4121/d491bee7-c911-4099-a60f-075327ebea23.v1
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/d491bee7-c911-4099-a60f-075327ebea23
doi: 10.4121/d491bee7-c911-4099-a60f-075327ebea23
Datacite citation style:
van Schilt, Isabelle (2024): Code: Calculate Supply Chain Visibility with Sparse Data. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/d491bee7-c911-4099-a60f-075327ebea23.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
CC BY-NC-ND 4.0
This code is part of the Ph.D. thesis of Isabelle M. van Schilt, Delft University of Technology. It calculates supply chain visibility for a given supply chain network with sparse data.
history
- 2024-07-19 first online, published, posted
publisher
4TU.ResearchData
format
*.py
associated peer-reviewed publication
Dimensions of data sparseness and their effect on supply chain visibility.
code hosting project url
https://github.com/imvs95/scv_sparse_data
organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems (MAS)
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/82d23d2c-fe0d-4ea6-b46f-725e18b084a1.git "scv_sparse_data"
