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Deep Uncertainty in Humanitarian Logistics - Model, Data and Analyses

dataset
posted on 23.11.2018 by Tim Romijn
This archive contains the model, the data and the analyses of my MSc Thesis. The model and analyses are coded in Python and documented in Jupyter Notebooks. Thesis Title: Deep Uncertainty in Humanitarian Logistics: Simulation and Analysis of the Interplay between Decisions and Uncertainty for Post-Disaster Facility Location Decisions Link to Thesis: http://resolver.tudelft.nl/uuid:580c5a9c-73dc-4195-930e-97c524a4b7c7

History

Contributors

TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems

Publisher

4TU.Centre for Research Data

Format

media types: application/json, application/octet-stream, application/x-gzip, application/zip, image/png, text/csv, text/markdown, text/plain, text/x-python

Licence

Exports