%0 Thesis
%A Giedelmann Lasprilla, Nicolás
%8 08-05-2024
%U http://hdl.handle.net/10818/61362
%X Natural disasters constitute a constant threat to human populations, and their impact can
generate a deterioration in the short, medium, and long term in the affected population’s wellbeing
and life quality. In particular, landslides and floods are disasters with an incidence among Colombian
populations that are located near bodies of water or mountain ranges, annually impacting thousands
of inhabitants who are forced to either abandon their places of residence or experience shortages of
products such as food and medicines. Within the aid efforts, several activities are carried out as part
of the disaster mitigation plans, such as transportation operations, and inventory management that are
framed into the humanitarian response. This research addresses three main challenges within
humanitarian operations related to storage and goods delivery and proposes a wide and robust
framework to support the decision-making process during humanitarian operations.
Two simulation models based on system dynamics are proposed to deal with the evaluation
of the interactions between actors in the humanitarian supply chain as well as evaluate the
consequences on the road network caused by food delivery tasks to the affected populations. The
proposed models were validated using the available recorded information of two major landslide
disasters that occurred in Colombia in 2017 in the Mocoa and Rosas municipalities, respectively.
%I Universidad de La Sabana
%T Mathematical models for decision-making support in humanitarian logistics and aid operations
%~ Intellectum