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Optimization of Humanitarian Aid Resource Distribution Time Through Mixed Integer Linear Programming

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

2 Scopus citations

Abstract

This paper develops a post-disaster response model that jointly optimizes the distribution time of essential humanitarian aid goods (i.e.: medicines, water and food) from temporary warehouses to points of demand, and the satisfaction of the needs of the affected people. First, the travel time is measured through a Google Maps API Distance Matrix tool, based on the route between geo-referenced positions and the current vehicle density. Then, a model is built through Mixed Integer Linear Programming (MILP) to minimize the travel time to the demand points. Finally, the model is applied in a case study for the city of Chosica, Peru, to determine its effectiveness.
Translated title of the contributionOptimización del tiempo de distribución de recursos de ayuda humanitaria a través de programación lineal entera mixta
Original languageEnglish
Title of host publicationOptimization of Humanitarian Aid Resource Distribution Time Through Mixed Integer Linear Programming
Place of PublicationNew York. USA
PublisherACM DIGITAL LIBRARY
Pages191-197
Number of pages7
ISBN (Electronic)979-8-4007-0882-4
DOIs
StatePublished - 22 Sep 2023
Event2023 the 9th International Conference on Industrial and Business Engineering (ICIBE 2023), September 22–24, 2023, Beijing, China. - Beijing, China
Duration: 22 Sep 202324 Sep 2023
Conference number: 9
https://dl.acm.org/doi/10.1145/3629378.3629442

Conference

Conference2023 the 9th International Conference on Industrial and Business Engineering (ICIBE 2023), September 22–24, 2023, Beijing, China.
Abbreviated titleICIBE
Country/TerritoryChina
CityBeijing
Period22/09/2324/09/23
Internet address

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