Design of a reliable logistics network with hub disruption under uncertainty
dc.contributor.author
hal.structure.identifier | MOHAMMADI, Mehrdad
|
dc.contributor.author
hal.structure.identifier | TAVAKKOLI-MOGHADDAM, Reza
|
dc.contributor.author
hal.structure.identifier | SIADAT, Ali
|
dc.contributor.author | DANTAN, Jean-Yves |
dc.date.accessioned | 2016 |
dc.date.available | 2017 |
dc.date.issued | 2016 |
dc.date.submitted | 2016 |
dc.identifier.issn | 0307-904X |
dc.identifier.uri | http://hdl.handle.net/10985/10679 |
dc.description.abstract | In 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.iso | en |
dc.publisher | Elsevier |
dc.rights | Post-print |
dc.subject | Hub location problem |
dc.subject | Reliable logistics network |
dc.subject | Robust optimization |
dc.subject | Scenario-based optimization |
dc.subject | Self-adaptive imperialist competitive algorithm |
dc.title | Design of a reliable logistics network with hub disruption under uncertainty |
ensam.embargo.terms | 2018-01 |
dc.identifier.doi | 10.1016/j.apm.2016.01.011 |
dc.typdoc | Article dans une revue avec comité de lecture |
dc.localisation | Centre de Metz |
dc.subject.hal | Sciences de l'ingénieur: Mécanique |
ensam.audience | Internationale |
ensam.page | 1-22 |
ensam.journal | Applied Mathematical Modelling |
ensam.peerReviewing | Oui |
hal.identifier | hal-01794858 |
hal.version | 1 |
hal.date.transferred | 2020-03-25T15:28:25Z |
hal.submission.permitted | True |
hal.status | accept |