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Article: Management of a holistic supply chain network for proactive resilience: Theory and case study

TitleManagement of a holistic supply chain network for proactive resilience: Theory and case study
Authors
KeywordsAnalysis
Economic health
Holistic supply chain network
Prediction
Proactive resilience
Issue Date2018
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cie
Citation
Computers & Industrial Engineering, 2018, v. 125, p. 668-677 How to Cite?
AbstractThis paper proposes a novel theory for managing a holistic supply chain network, for proactive resilience. A holistic or inter-industrial supply chain network (H-SCN for short), is a system with the nature that several supply chain networks intertwine and inter-dependent to each other to form a more sophisticated network. It is believed that management of such a supply chain network has a close tie to financial crisis in 2008 and subsequent global economic recession. By proactive resilience it is meant that the disruption of supply business in future could be avoided at large if not all. The proposed theory includes a model that represents the economic health of a firm in the context of a supply-demand network. The model captures not only a firm's own resource and capability but also its supplier (upstream firm) and its consumer (downstream firm). How the resilience of such an H-SCN system can be enhanced is demonstrated by a potential technique to share the information of the health state of firm and the knowledge of disruptions over the entire network in future if one or more firms in the network fail to function. © 2018 Elsevier Ltd
Persistent Identifierhttp://hdl.handle.net/10722/254689
ISSN
2017 Impact Factor: 3.195
2015 SCImago Journal Rankings: 1.630
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, J-
dc.contributor.authorDou, R-
dc.contributor.authorMuddada, R-
dc.contributor.authorZhang, W-
dc.date.accessioned2018-06-21T01:04:57Z-
dc.date.available2018-06-21T01:04:57Z-
dc.date.issued2018-
dc.identifier.citationComputers & Industrial Engineering, 2018, v. 125, p. 668-677-
dc.identifier.issn0360-8352-
dc.identifier.urihttp://hdl.handle.net/10722/254689-
dc.description.abstractThis paper proposes a novel theory for managing a holistic supply chain network, for proactive resilience. A holistic or inter-industrial supply chain network (H-SCN for short), is a system with the nature that several supply chain networks intertwine and inter-dependent to each other to form a more sophisticated network. It is believed that management of such a supply chain network has a close tie to financial crisis in 2008 and subsequent global economic recession. By proactive resilience it is meant that the disruption of supply business in future could be avoided at large if not all. The proposed theory includes a model that represents the economic health of a firm in the context of a supply-demand network. The model captures not only a firm's own resource and capability but also its supplier (upstream firm) and its consumer (downstream firm). How the resilience of such an H-SCN system can be enhanced is demonstrated by a potential technique to share the information of the health state of firm and the knowledge of disruptions over the entire network in future if one or more firms in the network fail to function. © 2018 Elsevier Ltd-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cie-
dc.relation.ispartofComputers & Industrial Engineering-
dc.subjectAnalysis-
dc.subjectEconomic health-
dc.subjectHolistic supply chain network-
dc.subjectPrediction-
dc.subjectProactive resilience-
dc.titleManagement of a holistic supply chain network for proactive resilience: Theory and case study-
dc.typeArticle-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.cie.2017.12.021-
dc.identifier.scopuseid_2-s2.0-85039155486-
dc.identifier.hkuros285238-
dc.identifier.volume125-
dc.identifier.spage668-
dc.identifier.epage677-
dc.identifier.isiWOS:000449569500054-
dc.publisher.placeUnited Kingdom-

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