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
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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
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Dataset
Categories
Licence CC0
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)
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BOM.xlsx - 5,525 bytesMD5:
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CustomerList.xlsx - 37,570,346 bytesMD5:
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DisruptionDefault.7z - 36,473,362 bytesMD5:
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DisruptionDefault.backup - 38,010,369 bytesMD5:
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DisruptionDefault.spfx - 37,612,610 bytesMD5:
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DisruptionDefault.zip - 1,069,885 bytesMD5:
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DisruptionDefault_Model_trace.csv - 5,697 bytesMD5:
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DisruptionProcess.xlsx - 25,167 bytesMD5:
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Generator.py - 29,764 bytesMD5:
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GeneratorOptimization.py - 5,947 bytesMD5:
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ImportObject.xlsx - 6,127 bytesMD5:
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InventoryInformation.xlsx - 6,018 bytesMD5:
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Network_Generator.ipynb - 4,304 bytesMD5:
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Network_Generator_optimization.ipynb - 6,014,949 bytesMD5:
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NoDisruptionDefault.backup - 6,573,391 bytesMD5:
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NoDisruptionDefault.spfx - 6,222,189 bytesMD5:
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NoDisruptionDefault.zip - 9,752 bytesMD5:
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SimioDemo.py - 5,993 bytesMD5:
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SupplierInformation.xlsx -
download all files (zip)
169,656,880 bytes unzipped