Person:
Vitoriano Villanueva, Begoña

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First Name
Begoña
Last Name
Vitoriano Villanueva
URI
https://hdl.handle.net/20.500.14352/75667
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Matemáticas
Department
Estadística e Investigación Operativa
Area
Estadística e Investigación Operativa
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UCM identifierORCIDScopus Author IDWeb of Science ResearcherIDDialnet IDGoogle Scholar ID

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2018 - 201912020 - 20246
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Now showing 1 - 7 of 7
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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 Mathematical Programming Approach for a Wildfire Suppression Problem
    (Operational Research: An International Journal, 2024) Granda Chico, Bibiana; Vitoriano Villanueva, Begoña; Figueira, José R.
    Wildfires are natural recurrent events, that may be devastating if not addressed correctly. In these situations, where quick and accurate decisions are needed, Operations Research can be helpful for providing fast and robust solutions. This paper focuses on the response actions taken during the suppression stage of a wildfire. A mixed integer linear programming model is proposed to obtain a wildfire suppression strategy, including the wildfire behaviour changes induced by the solution. The selected wildfire suppression strategy is modelled in detail, pointing out which locations to control and their timing, based on available paths between them, avoiding engagement in dangerous situations. A computational study is carried out to determine the most suitable solver to provide exact solutions of the model. Also, a two-stage version of the model is proposed to deal with the multicriteria nature of the problem. A case study is also included to validate the model’s applicability, which is solved using the two proposed versions of the model and an iterative approach to compare their performance.
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    The team orienteering problem with Variable Time Windows
    (2024) Granda Chico, Bibiana; Vitoriano Villanueva, Begoña
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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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    Decision Support Models and Methodologies for Fire Suppression
    (Fire, 2023) Granda Chico, Bibiana; León Caballero, Javier; Vitoriano Villanueva, Begoña; Hearne, John
    Wildfires are recurrent natural events that have been increasing in frequency and severity in recent decades. They threaten human lives and damage ecosystems and infrastructure, leading to high recovery costs. To address the issue of wildfires, several activities must be managed and coordinated in order to develop a suitable response that is both effective and affordable. This includes actions taken before (mitigation, prevention, and preparedness), during (response), and after the event (recovery). Considering the available resources and the safety of the involved personnel is a key aspect. This article is a review focused on fire suppression, which comprises actions belonging to the preparedness phase (deployment) and the response phase (dispatching) of the wildfire management scheme. It goes through the models and methodologies that, applying operations research and optimization techniques, address the management of resources to address fire suppression. This article presents a review of the studies published after the last review on the topic in 2017, but also includes some interesting papers before that date. It concludes with some classifying tables and a few conclusions about possible future lines of research.
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    Project number: 88
    Virtualización de la docencia universitaria mediante Recursos Educativos Abiertos a través de aplicaciones ArcGis online (REARGOL)
    (2021) Úbeda Palenque, Jose; Soriano Expósito, Amalia; López Alonso, Maider; Moreno Otero, Jorge; Fernández Sánchez, Adrián; Navarro Frutos, Álvaro; Kim, Hui Jeong; Tardáguila Giacomozzi, Silvia Jinxiu; Cruz Alcázar, Rocío; Martín Sánchez, Alejandro; Olivares Massaguer, Adrian; Bonshoms Calvelo, Martí; De la Peña Alonso, Paloma; Concha Niño de Guzmán, Ronald Fernando; Yravedra Sainz De Los Terreros, José; Fernández Fernández, José María; Andrés de Pablo, Nuria de; Tanarro García, Luis Miguel; de Marcos García-Blanco, Francisco Javier; Palacios Estremera, David; Vitoriano Villanueva, Begoña; Bustamante Rosell, Maria Gracia
    La pandemia provocada por el virus SARS-CoV-2 (COVID19) ha demostrado la necesidad de acelerar la digitalización de la docencia universitaria. Las herramientas digitales para la transferencia ciencia-educación, que ya eran esenciales para asegurar la calidad de la docencia presencial, se han transformado en imprescindibles cuando las circunstancias han impuesto la docencia virtual. El proyecto REARGOL ha desarrollado y ensayado en ArcGIS online instrumentos para la virtualización de contenidos en asignaturas de grado y máster, sobre geomorfología, gestión de desastres, patrimonio natural y patrimonio cultural. Ha sido un ensayo piloto, replicable en todas las titulaciones y temáticas susceptibles de generar información geoespacial (prácticamente todos los títulos y áreas de conocimiento). El único límite es la imaginación. El proyecto ha priorizado la participación de estudiantes de grado, máster y doctorado, que han desarrollado 4 tipos de aplicaciones: Mapas Web y Web AppBuilder (visores cartográficos interactivos), encuestas Survey 123 (formularios recogida de datos), Cuadros de Mandos (plataformas online que permiten combinar varias aplicaciones) y Story Maps (presentaciones para mostrar conjuntamente información y aplicaciones ArcGIS online). Las aplicaciones que se ensayaron con éxito durante el curso 2020-2021, en asignaturas de grado y máster, así como en TFMs y TFGs, continúan utilizándose en el curso 2021-2022.
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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,