A multi-attribute supply chain network resilience assessment framework based on SNA-inspired indicators

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dc.contributor.authorKazemian, Imanen
dc.contributor.authorTorabi, S. Alien
dc.contributor.authorZobel, Christopher W.en
dc.contributor.authorLi, Yuhongen
dc.contributor.authorBaghersad, Miladen
dc.date.accessioned2021-12-07T15:52:57Zen
dc.date.available2021-12-07T15:52:57Zen
dc.date.issued2021-07-22en
dc.date.updated2021-12-07T15:52:53Zen
dc.description.abstractThis study proposes a supply chain resilience assessment framework at the network (i.e. structural) level based on quantifying supply chain networks’ structural factors and their relationships to different resilience strategies, by using a hybrid DEMATEL-ANP approach. DEMATEL is used to quantify interdependencies between the structural resilience factors, and between the resilience strategies. ANP is then used to quantify the outer-dependencies among these elements and to construct the limit super-matrix from which the global weights of all the decision network’s elements are estimated. To create the structural resilience factors, different network factors are selected and adopted from the social network analysis and supply chain resilience literatures. A case study is then performed to assess the performance of the proposed approach and to derive important observations to support future decision making. According to the results, the proposed approach can suitably measure the resilience performance of a supply chain network and help decision makers plan for more effective resilience improvement actions.en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s12351-021-00644-3en
dc.identifier.eissn1866-1505en
dc.identifier.issn1109-2858en
dc.identifier.orcidZobel, Christopher [0000-0002-0952-7322]en
dc.identifier.urihttp://hdl.handle.net/10919/106856en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000678071500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTechnologyen
dc.subjectOperations Research & Management Scienceen
dc.subject0102 Applied Mathematicsen
dc.subject0806 Information Systemsen
dc.subject1503 Business and Managementen
dc.titleA multi-attribute supply chain network resilience assessment framework based on SNA-inspired indicatorsen
dc.title.serialOperational Researchen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherCorrectionen
dc.type.otherEarly Accessen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Pamplin College of Businessen
pubs.organisational-group/Virginia Tech/Pamplin College of Business/Business Information Technologyen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Pamplin College of Business/PCOB T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten
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