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dc.contributor.authorChen, D
dc.contributor.authorSun, D
dc.contributor.authorYin, Y
dc.contributor.authorDhamotharan, L
dc.contributor.authorKumar, A
dc.contributor.authorGuo, Y
dc.date.accessioned2022-05-31T08:34:18Z
dc.date.issued2021-12-01
dc.date.updated2022-05-27T19:12:42Z
dc.description.abstractThis paper studies the resilience of logistics network against node failures in the context of express industry owing to disruption in the network. By considering the flow capacity between the nodes and the impact of each node's failure, we propose a load redistribution mechanism in the presence of cascading failures which is akin to a criticality-based resilience assessment or stress testing the supply chain. To further investigate the impact of the node/nodes failure, we simulate and propose algorithms for two cascading failure scenarios, illustrating the different adjustment schemes for resilience improving strategies. A sensitivity analysis with managerial insights is also performed to investigate the effect of the adjustment schemes on the criticality of the nodes and the resilience of the express logistics network.en_GB
dc.description.sponsorshipPhilosophy and Social Science Planning of Zhejiang Provinceen_GB
dc.description.sponsorshipZhejiang Provincial Natural Science Foundation of Chinaen_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.format.extent108373-
dc.identifier.citationVol. 244, article 108373en_GB
dc.identifier.doihttps://doi.org/10.1016/j.ijpe.2021.108373
dc.identifier.grantnumber21NDJC075YBen_GB
dc.identifier.grantnumberLY21G030007en_GB
dc.identifier.grantnumber71874158en_GB
dc.identifier.grantnumber72072163en_GB
dc.identifier.grantnumber71403245en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129790
dc.identifierORCID: 0000-0001-6367-0819 (Dhamotharan, Lalitha)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonUnder embargo until 1 June 2023 in compliance with publisher policyen_GB
dc.rights© 2021 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectNetwork resilienceen_GB
dc.subjectLogistics networken_GB
dc.subjectLoad redistributionen_GB
dc.subjectCascading failureen_GB
dc.subjectNode failureen_GB
dc.subjectSimulationen_GB
dc.titleThe resilience of logistics network against node failuresen_GB
dc.typeArticleen_GB
dc.date.available2022-05-31T08:34:18Z
dc.identifier.issn0925-5273
exeter.article-number108373
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recorden_GB
dc.identifier.eissn1873-7579
dc.identifier.journalInternational Journal of Production Economicsen_GB
dc.relation.ispartofInternational Journal of Production Economics, 244
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dcterms.dateAccepted2021-11-21
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-12-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-05-31T08:30:22Z
refterms.versionFCDAM
refterms.panelCen_GB


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© 2021 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2021 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/