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 contribution | Optimización del tiempo de distribución de recursos de ayuda humanitaria a través de programación lineal entera mixta |
|---|---|
| Original language | English |
| Title of host publication | Optimization of Humanitarian Aid Resource Distribution Time Through Mixed Integer Linear Programming |
| Place of Publication | New York. USA |
| Publisher | ACM DIGITAL LIBRARY |
| Pages | 191-197 |
| Number of pages | 7 |
| ISBN (Electronic) | 979-8-4007-0882-4 |
| DOIs | |
| State | Published - 22 Sep 2023 |
| Event | 2023 the 9th International Conference on Industrial and Business Engineering (ICIBE 2023), September 22–24, 2023, Beijing, China. - Beijing, China Duration: 22 Sep 2023 → 24 Sep 2023 Conference number: 9 https://dl.acm.org/doi/10.1145/3629378.3629442 |
Conference
| Conference | 2023 the 9th International Conference on Industrial and Business Engineering (ICIBE 2023), September 22–24, 2023, Beijing, China. |
|---|---|
| Abbreviated title | ICIBE |
| Country/Territory | China |
| City | Beijing |
| Period | 22/09/23 → 24/09/23 |
| Internet address |
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