cff-version: 1.2.0
abstract: "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"
authors:
  - family-names: Romijn
    given-names: Tim
    orcid: "https://orcid.org/0000-0002-3939-0558"
title: "Deep Uncertainty in Humanitarian Logistics - Model, Data and Analyses"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/uuid:f056f50d-0546-4ec3-9d5e-8c85aa9296b1
license: CC0
date-released: 2018-11-23