The resilience of logistics network against node failures
dc.contributor.author | Chen, D | |
dc.contributor.author | Sun, D | |
dc.contributor.author | Yin, Y | |
dc.contributor.author | Dhamotharan, L | |
dc.contributor.author | Kumar, A | |
dc.contributor.author | Guo, Y | |
dc.date.accessioned | 2022-05-31T08:34:18Z | |
dc.date.issued | 2021-12-01 | |
dc.date.updated | 2022-05-27T19:12:42Z | |
dc.description.abstract | This 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.sponsorship | Philosophy and Social Science Planning of Zhejiang Province | en_GB |
dc.description.sponsorship | Zhejiang Provincial Natural Science Foundation of China | en_GB |
dc.description.sponsorship | National Natural Science Foundation of China | en_GB |
dc.format.extent | 108373- | |
dc.identifier.citation | Vol. 244, article 108373 | en_GB |
dc.identifier.doi | https://doi.org/10.1016/j.ijpe.2021.108373 | |
dc.identifier.grantnumber | 21NDJC075YB | en_GB |
dc.identifier.grantnumber | LY21G030007 | en_GB |
dc.identifier.grantnumber | 71874158 | en_GB |
dc.identifier.grantnumber | 72072163 | en_GB |
dc.identifier.grantnumber | 71403245 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/129790 | |
dc.identifier | ORCID: 0000-0001-6367-0819 (Dhamotharan, Lalitha) | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Under embargo until 1 June 2023 in compliance with publisher policy | en_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.subject | Network resilience | en_GB |
dc.subject | Logistics network | en_GB |
dc.subject | Load redistribution | en_GB |
dc.subject | Cascading failure | en_GB |
dc.subject | Node failure | en_GB |
dc.subject | Simulation | en_GB |
dc.title | The resilience of logistics network against node failures | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-05-31T08:34:18Z | |
dc.identifier.issn | 0925-5273 | |
exeter.article-number | 108373 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record | en_GB |
dc.identifier.eissn | 1873-7579 | |
dc.identifier.journal | International Journal of Production Economics | en_GB |
dc.relation.ispartof | International Journal of Production Economics, 244 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2021-11-21 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2021-12-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-05-31T08:30:22Z | |
refterms.versionFCD | AM | |
refterms.panel | C | en_GB |
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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/