Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11686
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPashapour,A.-
dc.contributor.authorGünneç,D.-
dc.contributor.authorSalman,F.S.-
dc.contributor.authorYücel,E.-
dc.date.accessioned2024-07-24T11:57:23Z-
dc.date.available2024-07-24T11:57:23Z-
dc.date.issued2024-
dc.identifier.issn0305-0483-
dc.identifier.urihttps://doi.org/10.1016/j.omega.2024.103138-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11686-
dc.description.abstractAs a humanity crisis, the tragedy of forced displacement entails relief aid distribution efforts among en route refugees to alleviate their migration hardships. This study aims to assist humanitarian organizations in cost-efficiently optimizing the logistics of capacitated mobile facilities utilized to deliver relief aid to transiting refugees in a multi-period setting. The problem is referred to as the Capacitated Mobile Facility Location Problem with Mobile Demands (CMFLP-MD). In CMFLP-MD, refugee groups follow specific paths, and meanwhile, they receive relief aid at least once every fixed number of consecutive periods, maintaining continuity of service. To this end, the overall costs associated with capacitated mobile facilities, including fixed, service provision, and relocation costs, are minimized. We formulate a mixed integer linear programming (MILP) model and propose two solution methods to solve this complex problem: an accelerated Benders decomposition approach as an exact solution method and a matheuristic algorithm that relies on an enhanced fix-and-optimize agenda. We evaluate our methodologies by designing realistic instances based on the Honduras migration crisis that commenced in 2018. Our numerical results reveal that the accelerated Benders decomposition excels MILP with a 46% run time improvement on average while acquiring solutions at least as good as the MILP across all instances. Moreover, our matheuristic acquires high-quality solutions with a 2.4% average gap compared to best-incumbents rapidly. An in-depth exploration of the solution properties underscores the robustness of our relief distribution plans under varying migration circumstances. Across several metrics, our sensitivity analyses also highlight the managerial advantages of implementing CMFLP-MD solutions. © 2024 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofOmega (United Kingdom)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAccelerated Benders decompositionen_US
dc.subjectCapacitated mobile facility locationen_US
dc.subjectEn route refugeesen_US
dc.subjectHumanitarian logisticsen_US
dc.subjectMatheuristicen_US
dc.subjectMixed integer linear programen_US
dc.subjectMobile demanden_US
dc.titleCapacitated Mobile Facility Location Problem With Mobile Demand: Efficient Relief Aid Provision To En Route Refugeesen_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume129en_US
dc.identifier.wosWOS:001271019600001en_US
dc.identifier.scopus2-s2.0-85198322420en_US
dc.identifier.doi10.1016/j.omega.2024.103138-
dc.authorscopusid58149370800-
dc.authorscopusid35307058700-
dc.authorscopusid59215408900-
dc.authorscopusid24773991000-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityQ1-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.languageiso639-1en-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

94
checked on Dec 9, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.