A multi-objective optimization model for relief facility location in crisis conditions

dc.creatorAhmed, Dr. Alim Al Ayub
dc.creatorJaenudin
dc.creatorWidjaja, Gunawan
dc.creatorGrimaldo Guerrero, John William
dc.creatorkadhim, Mustafa Mohammed
dc.creatorKolyazov, Konstantin Alexandrovich
dc.date2022-04-05T12:47:26Z
dc.date2022-04-05T12:47:26Z
dc.date2021
dc.date.accessioned2023-10-03T18:58:06Z
dc.date.available2023-10-03T18:58:06Z
dc.identifier1598-7248
dc.identifierhttps://hdl.handle.net/11323/9112
dc.identifierhttps://doi.org/10.7232/iems.2021.20.4.588
dc.identifier10.7232/iems.2021.20.4.588
dc.identifier2234-6473
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9166625
dc.descriptionThis research was conducted to study the issue of relief facility location hierarchically by consideration of possible road closure during the crisis conditions, road safety, and arrival time of relief facilities under disaster circumstances. High costs are allocated for facilities deployment in a suitable location to meet the demands of injured people. Therefore, location-allocation of emergency facility should be considered in a way to use them for long-term periods. To this end, the extant research designed a multi-objective optimization model to minimize the pre-disaster costs including costs of facilities deployment and road use, and to minimize the post-disaster costs such as cost transportation innetwork roads. Moreover, the innovative part of the studied model in this research examined the road safety and reduction in time taken to have critical facilities in affected areas. To investigate the functional accuracy of the mathematical model, a numerical example with small dimensions was solved using CPLEX Solver, and required sensitivity analysis was described. As the facility location-allocation is an NP-hard issue, two meta-heuristic algorithms were used to solve numerical representations in real dimensions to examine numerical analyses effectively. Results showed that the dragonfly algorithm had the highest efficiency compared to other developed algorithms. The obtained results can be considered as an efficient managerial tool in management organizations involved in the crisis.
dc.format8 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherSouth Korea
dc.relationIndustrial Engineering and Management Systems
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dc.relation588
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dc.rightsAtribución 4.0 Internacional (CC BY 4.0)
dc.rights© 2021 KIIE
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectHierarchical facility location
dc.subjectCrisis management
dc.subjectMulti-objective optimization model
dc.subjectMeta-heuristic algorithm
dc.titleA multi-objective optimization model for relief facility location in crisis conditions
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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