On multi-criteria chance-constrained capacitated single-source discrete facility location problems

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buir.contributor.authorKara, Bahar Y.
dc.citation.epage122en_US
dc.citation.spage107en_US
dc.citation.volumeNumber83en_US
dc.contributor.authorKınay, Ö. B.en_US
dc.contributor.authorSaldanha-da-Gama, F.en_US
dc.contributor.authorKara, Bahar Y.en_US
dc.date.accessioned2020-02-07T11:23:55Z
dc.date.available2020-02-07T11:23:55Z
dc.date.issued2019
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractThis work aims at investigating multi-criteria modeling frameworks for discrete stochastic facility location problems with single sourcing. We assume that demand is stochastic and also that a service level is imposed. This situation is modeled using a set of probabilistic constraints. We also consider a minimum throughput at the facilities to justify opening them. We investigate two paradigms in terms of multi-criteria optimization: vectorial optimization and goal programming. Additionally, we discuss the joint use of objective functions that are relevant in the context of some humanitarian logistics problems. We apply the general modeling frameworks proposed to the so-called stochastic shelter site location problem. This is a problem emerging in the context of preventive disaster management. We test the models proposed using two real benchmark data sets. The results show that considering uncertainty and multiple objectives in the type of facility location problems investigated leads to solutions that may better support decision making.en_US
dc.embargo.release2022-03-01
dc.identifier.doi10.1016/j.omega.2018.02.007en_US
dc.identifier.issn0305-0483
dc.identifier.urihttp://hdl.handle.net/11693/53169
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttps://doi.org/10.1016/j.omega.2018.02.007en_US
dc.source.titleOmegaen_US
dc.subjectMulti-criteria optimizationen_US
dc.subjectDiscrete facility locationen_US
dc.subjectSingle-sourcingen_US
dc.subjectChance-constraintsen_US
dc.subjectHumanitarian logisticsen_US
dc.titleOn multi-criteria chance-constrained capacitated single-source discrete facility location problemsen_US
dc.typeArticleen_US

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