TY - GEN
T1 - Plan de ruteo para la distribución de ayuda humanitaria no alimentaria ante un terremoto de gran magnitud en Lima Metropolitana y Callao
AU - Benavente, Renzo
AU - Cornejo, Christian
N1 - Publisher Copyright:
© 2017 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2017
Y1 - 2017
N2 - A critical scenario of a magnitude 8.0 Mw earthquake is presented with epicenter in Lima, after which it is necessary to distribute non-food humanitarian aid to 1 795 735 victims in Lima City and Callao. The scenario works under the assumption that there are 22 warehouses that will supply 42 proposed substations. Each substation will distribute the goods to 50 nodes located in nearby parks. The affected population will have to approach the selected park in order to receive three kits of aid goods. We examine three classic heuristics: the savings algorithm, the two-phase method and the nearest neighbor algorithm. The selected heuristic is the two-step method: first assigning the nodes into groups, using the sweep algorithm, and then determining the route using a TSP model. After performing the heuristic to each of the 42 substations, we find that it reaches the 72 hour norm after making a total of 70 800 kilometers. Additionally, we present scenarios evaluating a smaller number of vehicles in the substations that present time slacks.
AB - A critical scenario of a magnitude 8.0 Mw earthquake is presented with epicenter in Lima, after which it is necessary to distribute non-food humanitarian aid to 1 795 735 victims in Lima City and Callao. The scenario works under the assumption that there are 22 warehouses that will supply 42 proposed substations. Each substation will distribute the goods to 50 nodes located in nearby parks. The affected population will have to approach the selected park in order to receive three kits of aid goods. We examine three classic heuristics: the savings algorithm, the two-phase method and the nearest neighbor algorithm. The selected heuristic is the two-step method: first assigning the nodes into groups, using the sweep algorithm, and then determining the route using a TSP model. After performing the heuristic to each of the 42 substations, we find that it reaches the 72 hour norm after making a total of 70 800 kilometers. Additionally, we present scenarios evaluating a smaller number of vehicles in the substations that present time slacks.
KW - Earthquakes
KW - Humanitarian logistics
KW - Routing heuristics
KW - Vehicle routing problem
UR - http://www.scopus.com/inward/record.url?scp=85046269977&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2017.1.1.446
DO - 10.18687/LACCEI2017.1.1.446
M3 - Contribución a la conferencia
AN - SCOPUS:85046269977
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Petrie, Maria M. Larrondo
A2 - Alvarez, Humberto
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 15th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2017
Y2 - 19 July 2017 through 21 July 2017
ER -