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dc.contributor.author
 hal.structure.identifier
MOHAMMADI, Mehrdad
29212 École des Mines de Saint-Étienne [Mines Saint-Étienne MSE]
301046 University of Tehran
dc.contributor.author
 hal.structure.identifier
TAVAKKOLI-MOGHADDAM, Reza
301046 University of Tehran
dc.contributor.author
 hal.structure.identifier
SIADAT, Ali
107452 Laboratoire de Conception Fabrication Commande [LCFC]
dc.contributor.authorDANTAN, Jean-Yves
dc.date.accessioned2016
dc.date.available2017
dc.date.issued2016
dc.date.submitted2016
dc.identifier.issn0307-904X
dc.identifier.urihttp://hdl.handle.net/10985/10679
dc.description.abstractIn this study, we design a reliable logistics network based on a hub location problem, which is less sensitive to disruption and it performs efficiently when disruption occurs. A new mixed-integer programming model is proposed to minimize the total sum of the nominal and expected failure costs. This model considers complete and partial disruption at hubs. In addition, we propose a new hybrid meta-heuristic algorithm based on genetic and imperialist competitive algorithms. We compare the performance of the proposed al- gorithm with a new lower bound method in terms of the CPU time and solution quality. Furthermore, we conclude that a considerable improvement in the reliability of the net- work can be achieved with only a slight increase in the total cost. Finally, we demonstrate that the networks designed using our model are less conservative and more robust to dis- ruption compared with those designed based on other robustness measures.
dc.language.isoen
dc.publisherElsevier
dc.rightsPost-print
dc.subjectHub location problem
dc.subjectReliable logistics network
dc.subjectRobust optimization
dc.subjectScenario-based optimization
dc.subjectSelf-adaptive imperialist competitive algorithm
dc.titleDesign of a reliable logistics network with hub disruption under uncertainty
ensam.embargo.terms2018-01
dc.identifier.doi10.1016/j.apm.2016.01.011
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Metz
dc.subject.halSciences de l'ingénieur: Mécanique
ensam.audienceInternationale
ensam.page1-22
ensam.journalApplied Mathematical Modelling
ensam.peerReviewingOui
hal.identifierhal-01794858
hal.version1
hal.date.transferred2020-03-25T15:28:25Z
hal.submission.permittedTrue
hal.statusaccept


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