Data and code underlying the PhD thesis: Model-based Risk Analysis of Supply Chains for Supporting Resilience
DOI:10.4121/b189beed-be32-4058-919b-7adb19fce1f2.v1
The DOI displayed 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/b189beed-be32-4058-919b-7adb19fce1f2
DOI: 10.4121/b189beed-be32-4058-919b-7adb19fce1f2
Datacite citation style:
Zohoori, Bahareh (2024): Data and code underlying the PhD thesis: Model-based Risk Analysis of Supply Chains for Supporting Resilience. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b189beed-be32-4058-919b-7adb19fce1f2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Simulation model and Python code for PhD dissertation titled "Model-based Risk Analysis of Supply Chains for Supporting Resilience".
History
- 2024-08-29 first online, published, posted
Publisher
4TU.ResearchDataFunding
- Complexity in high-tech manufacturing (grant code 439.16.12) Dutch Research Council (NWO)
Organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor SystemsDATA
Files (19)
- 5,485 bytesMD5:
0ed7b44b09b57ce0e5f2df26860876faBOM.xlsx - 5,525 bytesMD5:
4352c030064602f834c0d7952110ad9fCustomerList.xlsx - 37,570,346 bytesMD5:
df27eacac64a5bcd396d4e73647929d8DisruptionDefault.7z - 36,473,362 bytesMD5:
a23afec387067aabea7fa3100c574e28DisruptionDefault.backup - 38,010,369 bytesMD5:
1b49a39cb3158a4545ac62f2d0a11c57DisruptionDefault.spfx - 37,612,610 bytesMD5:
c00334fa7eb277657f7d6d6af7e216dcDisruptionDefault.zip - 1,069,885 bytesMD5:
26a7f29aeaf251c7c7d4f1ebf26c55a2DisruptionDefault_Model_trace.csv - 5,697 bytesMD5:
f57ded97bf9f4b7858878d2dd63f52c8DisruptionProcess.xlsx - 25,167 bytesMD5:
45f2eecf482de5206bd47c360bcf18cfGenerator.py - 29,764 bytesMD5:
2265ccd72e8842a95376ccadc4fa6dbbGeneratorOptimization.py - 5,947 bytesMD5:
331f914ea76aff207848685ca67a4d70ImportObject.xlsx - 6,127 bytesMD5:
f8ab3929d9d66abd5ea0d1d3648a2762InventoryInformation.xlsx - 6,018 bytesMD5:
cd7ffe39ad6291f952fb3397433d2801Network_Generator.ipynb - 4,304 bytesMD5:
34da0a5127de21e73d00b862f9817d70Network_Generator_optimization.ipynb - 6,014,949 bytesMD5:
fa32638ed1c81741f25e4c8767d6c569NoDisruptionDefault.backup - 6,573,391 bytesMD5:
17e292da9e53b158c00278cd2bf34a83NoDisruptionDefault.spfx - 6,222,189 bytesMD5:
fb27a354f155cf9c32f091d13e7382c7NoDisruptionDefault.zip - 9,752 bytesMD5:
8a5136dcef24cd2484ed2e0b04e4ecd2SimioDemo.py - 5,993 bytesMD5:
bea30508ca2b540956e3642ff40bfa69SupplierInformation.xlsx -
download all files (zip)
169,656,880 bytes unzipped
