Publication:
A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty

dc.contributor.authorKoyuncu, Burcu Balçık
dc.contributor.authorYanıkoğlu, İhsan
dc.contributor.departmentIndustrial Engineering
dc.contributor.ozuauthorKOYUNCU, Burcu Balçık
dc.contributor.ozuauthorYANIKOĞLU, Ihsan
dc.date.accessioned2021-01-22T12:10:58Z
dc.date.available2021-01-22T12:10:58Z
dc.date.issued2020-04-01
dc.description.abstractWe focus on rapid needs assessment operations conducted immediately after a disaster to identify the urgent needs of the affected community groups, and address the problem of selecting the sites to be visited by the assessment teams during a fixed assessment period and constructing assessment routes under travel time uncertainty. Due to significant uncertainties in post-disaster transportation network conditions, only rough information on travel times may be available during rapid needs assessment planning. We represent uncertain travel times simply by specifying a range of values, and implement robust optimization methods to ensure that each constructed route is feasible for all realizations of the uncertain parameters that lie in a predetermined uncertainty set. We present a tractable robust optimization formulation with a coaxial box uncertainty set due to its advantages in handling uncertainty in our selective assessment routing problem, in which the dimension of the uncertainty (number of arcs traversed) is implicitly determined. To solve the proposed model efficiently, we develop a practical method for evaluating route feasibility with respect to the robust route duration constraints, and embed this feasibility check procedure in a tabu search heuristic. We present computational results to evaluate the effectiveness of our solution method, and illustrate our approach on a case study based on a real-world post-disaster network.en_US
dc.description.sponsorshipTÜBİTAK
dc.identifier.doi10.1016/j.ejor.2019.09.008en_US
dc.identifier.endpage57en_US
dc.identifier.issn0377-2217en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85072608008
dc.identifier.startpage40en_US
dc.identifier.urihttp://hdl.handle.net/10679/7219
dc.identifier.urihttps://doi.org/10.1016/j.ejor.2019.09.008
dc.identifier.volume282en_US
dc.identifier.wos000509816100003
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevieren_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/213M414
dc.relation.ispartofEuropean Journal of Operational Research
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsHumanitarian logisticsen_US
dc.subject.keywordsNeeds assessmenten_US
dc.subject.keywordsRobust optimizationen_US
dc.subject.keywordsRoutingen_US
dc.subject.keywordsTravel time uncertaintyen_US
dc.titleA robust optimization approach for humanitarian needs assessment planning under travel time uncertaintyen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication5dd73c02-fd2d-43e0-9a23-71bab9ae0b6b
relation.isOrgUnitOfPublication.latestForDiscovery5dd73c02-fd2d-43e0-9a23-71bab9ae0b6b

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