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Humanitarian Logistics Budget Model: Case of the North Coast of Peru
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Author(s): Roland Acuña (Universidad del Pacífico, Peru), Patrick Berrocal (Universidad del Pacífico, Peru), Cristian Huicho (Universidad del Pacífico, Peru), Andrea Ochoa (Universidad del Pacífico, Peru), Astrid Salazar (Universidad del Pacífico, Peru)and Mario Chong (Universidad del Pacífico, Peru)
Copyright: 2019
Pages: 11
Source title:
Handbook of Research on Urban and Humanitarian Logistics
Source Author(s)/Editor(s): Jesus Gonzalez-Feliu (Ecole Nationale Superieure des Mines de Saint-Étienne, France), Mario Chong (Universidad del Pacifico, Peru), Jorge Vargas Florez (Pontificia Universidad Católica del Perú, Peru)and Julio Padilla Solis (Universidad de Lima, Peru)
DOI: 10.4018/978-1-5225-8160-4.ch023
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Abstract
In the chapter, the optimal budget was assigned to prevention projects in the northern regions, through an analysis that took into account criteria such as the degree of vulnerability, the level of poverty, the population, and the level of expenditure execution (capacity management of each regional government) in 2015 and 2016. AHP (multicriteria analysis) was used to estimate the degree of vulnerability of each region, since to determine this it is necessary to take into account several criteria and fuzzy logic in order to obtain the budget for each region. The regions to be analyzed were Ica, Lima, Ancash, La Libertad, Lambayeque, Piura, and Tumbes, the most affected by El Niño Costero in 2017.
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