Person: Ferrer Caja, José María
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First Name
José María
Last Name
Ferrer Caja
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Medicina
Department
Estadística e Investigación Operativa
Area
Estadística e Investigación Operativa
Identifiers
3 results
Search Results
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- Project number: 229
Item Hacia la creación de una comunidad docente de aprendizaje en el área de la Estadística y la Investigación Operativa(2023) Ferrer Caja, José María; González Ortega, Jorge; Molina Peralta, Isabel; Dominguez Dominguez, Cristina; Granda Chico, Bibiana; Molina Ferragut, Elisenda; González Ortega, Jorge; Caballé Cervigón, Nuria; Muñoz López, Susana; Alonso Sanz, Rosa; Tejada Cazorla, Juan Antonio; Rio Moreno, Mario; Rodríguez González, Juan Tinguaro; Tejada Cazorla, Juan Antonio; Tirado Domínguez, Gregorio; Vitoriano Villanueva, Begoña; Yáñez Gestoso, Francisco Javier; Ortuño Sánchez, María TeresaEl objetivo del presente proyecto ha sido crear un espacio de reflexión y evaluación de estrategias didácticas aplicadas en asignaturas de Estadística e Investigación Operativa facilitando la creación de una comunidad docente de aprendizaje en el área, - Project number: 272
Item Experiencias piloto en evaluación online mediante casos prácticos generados en R para el entorno Moodle/Collaborate(2022) Martin Campo, Francisco Javier; Alonso Sanz, Rosa; Ferrer Caja, José María; González Ortega, Jorge; Muñoz López, Susana; Ortuño Sánchez, María Teresa; Tirado Domínguez, Gregorio; Vitoriano Villanueva, Begoña Item Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications(European Journal of Operational Research, 2018) Ferrer Caja, José María; Martín Campo, Francisco Javier; Ortuño Sánchez, María Teresa; Pedraza-Martínez, Alfonso J.; Tirado Domínguez, Gregorio; Vitoriano Villanueva, BegoñaHumanitarian 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.