Person:
Ferrer Caja, José María

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First Name
José María
Last Name
Ferrer Caja
URI
https://hdl.handle.net/20.500.14352/79387
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Medicina
Department
Estadística e Investigación Operativa
Area
Estadística e Investigación Operativa
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2018 - 201912020 - 20244
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Author: Tirado Domínguez, Gregorio × Item Type: Publication ×

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Now showing 1 - 5 of 5
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    Project number: 272
    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
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    A New Ant Colony-Based Methodology for Disaster Relief
    (Mathematics, 2020) Ferrer Caja, José María; Ortuño, M. T.; Tirado Domínguez, Gregorio
    Humanitarian logistics in response to large scale disasters entails decisions that must be taken urgently and under high uncertainty. In addition, the scarcity of available resources sometimes causes the involved organizations to suffer assaults while transporting the humanitarian aid. This paper addresses the last mile distribution problem that arises in such an insecure environment, in which vehicles are often forced to travel together forming convoys for security reasons. We develop an elaborated methodology based on Ant Colony Optimization that is applied to two case studies built from real disasters, namely the 2010 Haiti earthquake and the 2005 Niger famine. There are very few works in the literature dealing with problems in this context, and that is the research gap this paper tries to fill. Furthermore, the consideration of multiple criteria such as cost, time, equity, reliability, security or priority, is also an important contribution to the literature, in addition to the use of specialized ants and effective pheromones that are novel elements of the algorithm which could be exported to other similar problems. Computational results illustrate the efficiency of the new methodology, confirming it could be a good basis for a decision support tool for real operations.
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    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, Begoña
    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.
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    Project number: PIMCD226/23-24
    Matemática interdisciplinar, construyendo las transiciones profesionales
    (2024) Gómez Chacón, Inés María; Ortuño Sánchez, María Teresa; Martín Campo, Francisco Javier; Bacelo Polo, Adrián; Díaz-Cano Ocaña, Antonio; Folgueira López, Marta; Granda Chico, Bibiana; Mallavibarrena Martinez de Catro, Raquel; Martínez Aguinaga, Francisco Javier; Queipo Álvarez, Clara; Swerts Martín, Talía; Teran Viadero, Paula Milagros; Tirado Domínguez, Gregorio; Ferrer Caja, José María; Gómez Chacón, Inés María; Gómez Chacón, Inés María; Ortuño Sánchez, María Teresa
    Desarrollar estrategias y recursos para la transición a la profesión de los estudiantes de matemáticas favoreciendo la interdisciplinar en matemáticas y la apertura profesional. Orientaciones de evaluación para tutela y evaluación de TFGs interdisciplinares.
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    Project number: 229
    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 Teresa
    El 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,