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dc.contributor.authorPacheco Bonrostro, Joaquín 
dc.contributor.authorCasado Yusta, Silvia 
dc.date.accessioned2024-01-19T13:00:24Z
dc.date.available2024-01-19T13:00:24Z
dc.date.issued2023-11
dc.identifier.issn0969-6016
dc.identifier.urihttp://hdl.handle.net/10259/8408
dc.description.abstractIn 2020, the COVID-19 pandemic and its rapid spread shook health authorities worldwide at the regional and national levels. Healthcare systems had difficulty acquiring important supplies, such as face shields, which at that time were essential for healthcare staff. The need for this material increased with the spread of the pandemic. In most areas, warehouses did not have a sufficient stock of this product. This situation has occurred in the cities and provinces of Burgos (Spain). Volunteers (citizens and small companies) owning three-dimensional printers offered themselves to manufacture face shields. These volunteers are called “makers.” Similarly, different organizations (mainly Civil Protection) took charge of transport activities (delivery of material to the makers, collection of face shields, and delivery of the latter to hospitals and other entities). In this study, we were tasked with developing a system for planning and rationalizing these activities. The problems that were solved included a vehicle routing problem with different characteristics compared with other models in the literature. A previuous work described this problem, and the heuristic method used for the planning. However, it is necessary to develop tools that are as efficient as possible for similar situations. In this study, we propose a mathematical formulation of the problem and a method based on the metaheuristic strategies variable neighborhood search and greedy randomize adaptative search procedure on a multistart framework. Different tests with real instances used during the period in which these activities were conducted show that the new method improves the results obtained by the previous method as well as the commercial software.en
dc.description.sponsorshipThe authors are grateful to the following entities and projects: The Spanish Research Agency (Projects PID2019-104263RB-C44, PDC2021–121021-C22, and PID2022-139543OB-C44) and the Regional Government of “Castilla y León” and FEDER funds (Project BU056P20).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherWileyen
dc.relation.ispartofInternational Transactions in Operational Research. 2023, p. 1-26es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCoronavirusen
dc.subjectSanitary logisticsen
dc.subjectHeuristic optimizationen
dc.subjectVariable neighborhood searchen
dc.subject.otherEconomíaes
dc.subject.otherEconomicsen
dc.titleVariable neighborhood search approach to face‐shield delivery during pandemic periodsen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1111/itor.13410es
dc.identifier.doi10.1111/itor.13410
dc.identifier.essn1475-3995
dc.journal.titleInternational Transactions in Operational Researchen
dc.page.initial1es
dc.page.final26es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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