The model and the data part of the master thesis “Integrating Reuse in MaTrace Models: An implementation and evaluation”
DOI:10.4121/21103819.v1
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DOI: 10.4121/21103819
DOI: 10.4121/21103819
Datacite citation style
Raphael Elbing (2022): The model and the data part of the master thesis “Integrating Reuse in MaTrace Models: An implementation and evaluation”. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21103819.v1
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Software
The presented model and the data are part of the master thesis “Integrating Reuse in MaTrace Models: An implementation and evaluation” by Raphael Elbing handed in in September 2022 to obtain the Master of Science in Industrial Ecology. Part of the code is explained in the file “model_application_manual.html”. The composition of the data is explained in the thesis itself. The ziped folders need to be unziped to run the code.
History
- 2022-09-19 first online, published, posted
Publisher
4TU.ResearchDataFormat
.html; .ipynb; .py; .xlsxOrganizations
TU Delft, Faculty of Technology Policy and Management, Leiden University, CMLDATA
Files (15)
- 1,072 bytesMD5:
d9b192c73b5fbd296e2b36b099c40fe7README.txt - 23,620 bytesMD5:
dfc9736a6b33dc9735e0180ea7797741base_matrace_model.py - 12,831 bytesMD5:
b2cf0e0ed6b7ddf258843b146c06dad3base_reuse_model.py - 11,743 bytesMD5:
eb2a9d39f957fd08ebd427e8c30f57f4combined_reuse_matrace_model.py - 50,920,989 bytesMD5:
a3c1e6c8c22e9ed64d783a7db4d0835bdata_cobalt_case_study.zip - 46,796 bytesMD5:
2006564744a95198c381c8c373843fb0data_model.zip - 18,083 bytesMD5:
ed6fec0818966770f9551fec965484d1functions.py - 953,254 bytesMD5:
f550777f50715ccde6a93230151dbdc7model_application_manual.html - 455,705 bytesMD5:
7ad6c0f322c2b51c15b63f89874f04cdmodel_application_manual.ipynb - 7,230 bytesMD5:
06b4c9961327ad081344be80a9b18d8emonte_carlo_evaluation.py - 3,051,046 bytesMD5:
d454cef48dce52066b442d6f3aa203e2monte_carlo_results.zip - 16,431 bytesMD5:
85776f46c32afb030048cb38b17d623cmonte_carlo_simulations.py - 6,824 bytesMD5:
19a8c0912f8030350a1f20c92c63e1f6monte_carlo_uncertainty.py - 1,858,596 bytesMD5:
a8a40eed8a58b101527101bfd60eb8ecused_graphs.html - 1,009,670 bytesMD5:
a794aeb2680852775434cdeb3a9a3f2eused_graphs.ipynb -
download all files (zip)
58,393,890 bytes unzipped





