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Title: A Capacitated Mobile Facility Location Problem with Mobile Demand: Recurrent Service Provision to En Route Refugees
Authors: Pashapour, A.
Günneç, D.
Sibel, Salman, F.
Yücel, E.
Keywords: Benders decomposition
capacitated mobile facility location
en route refugees
humanitarian logistics
mobile demand
Benders' decompositions
Capacitated mobile facility location
En route refugee
Facilities locations
Humanitarian logistics
Mobile demand
Mobile facility
Service provisions
Integer programming
Issue Date: 2022
Abstract: In this paper, we help humanitarian organizations provide service via mobile facilities (MFs) to migrating refugees, who attempt to cross international borders. Over a planning horizon, we aim to optimize number and routes and relocations of the MFs over a planning horizon. The problem is represented on a network where several refugee groups relocate in their predetermined paths throughout the periods. To incorporate continuity of service, each refugee group should be served at least once every fixed consecutive periods via capacitated MFs. We aim to minimize the total cost, consisting of fixed, service provision, and MF relocation costs, while ensuring the service continuity requirement. We formulate a mixed integer linear programming (MILP) model for this problem. We develop a matheuristic and an accelerated Benders decomposition algorithm as an exact solution method. The proposed model and solution methods are investigated over instances we extracted from the 2020 Honduras migration crisis. © 2022 Copyright held by the owner/authors(s).
Description: 10th International Network Optimization Conference, INOC 2022 -- 7 June 2022 through 10 June 2022 -- 187074
ISBN: 9783893180905
ISSN: 2367-2005
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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