A capacitated mobile facility location problem with mobile demand: Recurrent service provision to en route refugees

Title A capacitated mobile facility location problem with mobile demand: Recurrent service provision to en route refugees
Author Pashapour, A., Danış, Dilek Günneç, Salman, F. S., Yücel, E.
Publication Date: 2022
Publication Place - OpenProceedings.org
Subject Benders decomposition, Capacitated mobile facility location, En route refugees, Humanitarian logistics, Matheuristic, Mobile demand
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 2367-2005
Record ID ab8c5719-b736-47a5-89d1-22a24c5c0993
Library Location Industrial Engineering
Date 2022
Notes TÜBİTAK
Sample Text 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.
DOI 10.48786/inoc.2022.16
Cilt 2022
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A capacitated mobile facility location problem with mobile demand: Recurrent service provision to en route refugees

Author Pashapour, A., Danış, Dilek Günneç, Salman, F. S., Yücel, E.
Publication Date 2022
Publication Place - OpenProceedings.org
Subject Benders decomposition, Capacitated mobile facility location, En route refugees, Humanitarian logistics, Matheuristic, Mobile demand
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 2367-2005
Record ID ab8c5719-b736-47a5-89d1-22a24c5c0993
Library Location Industrial Engineering
Date 2022
Notes TÜBİTAK
Sample Text 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.
DOI 10.48786/inoc.2022.16
Cilt 2022
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