RT Journal Article
T1 Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications
A1 Ferrer Caja, José María
A1 Martín Campo, Francisco Javier
A1 Ortuño Sánchez, María Teresa
A1 Pedraza-Martínez, Alfonso J.
A1 Tirado Domínguez, Gregorio
A1 Vitoriano Villanueva, Begoña
AB Humanitarian organizations transport large quantities of aid for distribution in the aftermath of disasters. Transportation for last mile distribution includes multiple, and often conflicting, performance criteria that include time (deprivation), cost, coverage, equity and security. We build a compromise programming model for multi-criteria optimization in humanitarian last mile distribution. Regarding security, ours is the first multi-criteria model able to produce an actual vehicle schedule while forcing vehicles to form convoys in humanitarian operations research. We illustrate the multi-criteria optimization using a realistic test case based on the Pakistan floods, 2010. We standardize and share this case as well as cases based on the Niger famine, 2005 and the Haiti earthquake, 2010. By sharing test cases, we encourage basic scientific tasks such as replicability and model comparison within the humanitarian operations research community.
PB Elsevier
YR 2018
FD 2018-09-01
LK https://hdl.handle.net/20.500.14352/93707
UL https://hdl.handle.net/20.500.14352/93707
LA eng
NO Ferrer JM, Martín-Campo FJ, Ortuño MT, Pedraza-Martínez AJ, Tirado G, Vitoriano B. Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications. European Journal of Operational Research. 2018 Sep 1;269(2):501-15.
NO Ministerio de Economía y Competitividad
NO Comunidad de Madrid
DS Docta Complutense
RD 6 oct 2024