Drones for relief logistics under uncertainty after an earthquake

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buir.contributor.authorKara, Bahar Y.
buir.contributor.orcidKara, Bahar Y.|0000-0001-8674-1165
dc.citation.epage132en_US
dc.citation.issueNumber1
dc.citation.spage117
dc.citation.volumeNumber310
dc.contributor.authorDükkancı, Okan
dc.contributor.authorKoberstein, Achim
dc.contributor.authorKara, Bahar Y.
dc.date.accessioned2024-03-19T12:05:54Z
dc.date.available2024-03-19T12:05:54Z
dc.date.issued2023-03-03
dc.departmentDepartment of Industrial Engineering
dc.description.abstractThis study presents a post-disaster delivery problem called the relief distribution problem using drones under uncertainty, in which critical relief items are distributed to disaster victims gathered at assembly points after a disaster, particularly an earthquake. Because roads may be obstructed by debris after an earthquake, drones can be used as the primary transportation mode. As the impact of an earthquake cannot be easily predicted, the demand and road network uncertainties are considered. Additionally, the objective is to minimize the total unsatisfied demand subject to a time-bound constraint on the deliveries, as well as the range and capacity limitations of drones. A two-stage stochastic programming and its deterministic equivalent problem formulations are presented. The scenario decomposition algorithm is implemented as an exact solution approach. To apply this study to real-life applications, a case study is conducted based on the western (European) side of Istanbul, Turkey. The computational results are used to evaluate the performance of the scenario decomposition algorithm and analyze the value of stochasticity and the expected value of perfect information under different parametric settings. We additionally conduct sensitivity analyses by varying the key parameters of the problem, such as the time-bound and capacities of the drones.
dc.description.provenanceMade available in DSpace on 2024-03-19T12:05:54Z (GMT). No. of bitstreams: 1 Drones_for_relief_logistics_under_uncertainty_after_an_earthquake.pdf: 2053994 bytes, checksum: 92a3b021321049d826f748cef3421c7c (MD5) Previous issue date: 2023-03-03en
dc.description.tableofcontentsProduction, manufacturing, transportation and logistics
dc.embargo.release2025-03-03
dc.identifier.doi10.1016/j.ejor.2023.02.038
dc.identifier.eissn1872-6860
dc.identifier.issn0377-2217
dc.identifier.urihttps://hdl.handle.net/11693/114983
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionofhttps://doi.org/10.1016/j.ejor.2023.02.038
dc.rightsCC BY-NC-ND 4.0 DEED (Attribution-NonCommercial-NoDerivs 4.0 International)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.titleEuropean Journal of Operational Research
dc.subjectHumanitarian logistics
dc.subjectRelief distribution
dc.subjectDrone delivery
dc.subjectUncertainty
dc.subjectStochastic programming
dc.titleDrones for relief logistics under uncertainty after an earthquake
dc.typeArticle

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