Multi-objective mammography unit location–allocation problem : a case study.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorCampos, Marcos Vinícius Andrade de-
Autor(es): dc.creatorAssis, Romário dos Santos Lopes de-
Autor(es): dc.creatorSouza, Marcone Jamilson Freitas-
Autor(es): dc.creatorSiqueira, Eduardo Camargo de-
Autor(es): dc.creatorSilva, Maria Amélia Lopes-
Data de aceite: dc.date.accessioned2025-08-21T15:06:37Z-
Data de disponibilização: dc.date.available2025-08-21T15:06:37Z-
Data de envio: dc.date.issued2025-01-14-
Data de envio: dc.date.issued2025-01-14-
Data de envio: dc.date.issued2023-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/19538-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S2211692324000110-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.orhc.2024.100430-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1002596-
Descrição: dc.descriptionThis work addresses the Multi-Objective Mammography Unit Location–allocation Problem (MOMULAP), aiming to meet three objectives: maximize mammography screening coverage, minimize the total distance traveled weighted by the number of users, and maximize equity in access to mammography screening. We introduce a mixed-integer nonlinear programming (MINLP) formulation to represent the MOMULAP and algorithms based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Strength Pareto Evolutionary Algorithm (SPEA2) for treating it. The algorithms were tested with data from seven Brazilian states. In these states, the number of cities ranges from 139 to 853, equipment from 23 to 347 units, and estimated annual demand for screenings from 96,592 to 1,739,085. The solutions provided by this work allow health managers to choose the appropriate location and allocation of the mammography units, considering different objectives.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectMammography screening-
Palavras-chave: dc.subjectLocation–allocation problem-
Palavras-chave: dc.subjectFacility location-
Palavras-chave: dc.subjectMulti-objective optimization-
Título: dc.titleMulti-objective mammography unit location–allocation problem : a case study.-
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