Mathematical models to support decision making in collaborative humanitarian supply chain

Guzmán Cortés, Diana Carolina

dc.contributor.advisor	Guerrero Rueda, William Javier
dc.contributor.advisor	Rancourt, Marie-éve
dc.contributor.author	Guzmán Cortés, Diana Carolina
dc.date.accessioned	2024-06-14T19:43:59Z
dc.date.available	2024-06-14T19:43:59Z
dc.date.issued	2023-06-28
dc.identifier.uri	http://hdl.handle.net/10818/60419
dc.description	209 páginas	es_CO
dc.description.abstract	According to the most recent report from Centre for Research on the Epidemiology of Disasters (2023), in 2021 there were 387 natural hazards and disaster events, and approx imately 185 million affected people with 30,704 deaths, and economic damage quantified in 223.8 billion US$. This number of events is higher than the average of events for the period 2002-2021 with 370 disasters, which represents the challenge faced by humani tarian organizations (HOs) who have to make decisions in uncertain conditions seeking a cost-efficiency response	en
dc.format	application/pdf	es_CO
dc.language.iso	eng	es_CO
dc.publisher	Universidad de La Sabana	es_CO
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject.other	Modelos matemáticos -- Toma de decisiones
dc.subject.other	Investigación de operaciones
dc.subject.other	Administración industrial
dc.subject.other	Desastres naturales
dc.title	Mathematical models to support decision making in collaborative humanitarian supply chain	en
dc.type	doctoral thesis	es_CO
dc.type.hasVersion	publishedVersion	es_CO
dc.rights.accessRights	restrictedAccess	es_CO
thesis.degree.discipline	Facultad de Ingeniería	es_CO
thesis.degree.level	Doctorado en Logística y Gestión de Cadenas de Suministros	es_CO
thesis.degree.name	Doctor en Logística y Gestión de Cadenas de Suministros	es_CO