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dc.contributor.authorAdibi, Ali
dc.contributor.authorRazmi, Jafar
dc.date.accessioned2015-08-31T15:13:51Z
dc.date.available2015-08-31T15:13:51Z
dc.date.issued2015-08
dc.identifier.citationAdibi, Ali; Razmi, Jafar. 2015. 2-Stage stochastic programming approach for hub location problem under uncertainty: a case study of air network of Iran. Journal of Air Transport Management, vol. 47, August 2015:pp 172–178en_US
dc.identifier.issn0969-6997
dc.identifier.otherWOS:000359027700019
dc.identifier.urihttp://hdl.handle.net/10057/11483
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractIn this paper 2-stage stochastic programming has been developed for formulating stochastic uncapacitated multiple allocation hub location problem. This problem is studied under three cases. The first, stochastic demand, the second, stochastic transportation cost and the third, integrated stochastic, which is compounded of first and second cases. A case of air network in Iran is used to evaluate proposed formulations and computational results obtained by GAMS are presented. The results show that considering uncertainty into formulation could cause in different solutions.en_US
dc.language.isoen_USen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofseriesJournal of Air Transport Management;v.47
dc.subjectHuben_US
dc.subjectUncertaintyen_US
dc.subjectStochasticen_US
dc.subjectAir networken_US
dc.title2-Stage stochastic programming approach for hub location problem under uncertainty: a case study of air network of Iranen_US
dc.typeArticleen_US
dc.rights.holder(C) 2015 Elsevier Ltd. All rights reserved.


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