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Article: Measuring the Resilience of Supply Chain Systems Using a Survival Model

TitleMeasuring the Resilience of Supply Chain Systems Using a Survival Model
Authors
Issue Date2014
PublisherIEEE.
Citation
IEEE Systems Journal, 2014, v. 9 n. 2, p. 377-381 How to Cite?
AbstractDisruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently, a survival model [Cox proportional hazard (Cox-PH) model]. The survival model represents a time interval or period from the time the system failed to function to the time the system gets back with its function (i.e., recovery). The input to the model is, thus, a failure event; the output from the model is the recovery time. This model has been implemented. There is a case study to illustrate how the model is used to give a quantitative measurement of resilience, in terms of recovery time. © 2014 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/211762
ISSN
2015 Impact Factor: 2.114
2015 SCImago Journal Rankings: 1.143
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorRaj, R.-
dc.contributor.authorWang, J-
dc.contributor.authorNayak, A-
dc.contributor.authorTiwari, WK-
dc.contributor.authorHan, B-
dc.contributor.authorLiu, C-
dc.contributor.authorZhang, WJ-
dc.date.accessioned2015-07-21T02:10:14Z-
dc.date.available2015-07-21T02:10:14Z-
dc.date.issued2014-
dc.identifier.citationIEEE Systems Journal, 2014, v. 9 n. 2, p. 377-381-
dc.identifier.issn1932-8184-
dc.identifier.urihttp://hdl.handle.net/10722/211762-
dc.description.abstractDisruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently, a survival model [Cox proportional hazard (Cox-PH) model]. The survival model represents a time interval or period from the time the system failed to function to the time the system gets back with its function (i.e., recovery). The input to the model is, thus, a failure event; the output from the model is the recovery time. This model has been implemented. There is a case study to illustrate how the model is used to give a quantitative measurement of resilience, in terms of recovery time. © 2014 IEEE.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofIEEE Systems Journal-
dc.rightsIEEE Systems Journal. Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleMeasuring the Resilience of Supply Chain Systems Using a Survival Model-
dc.typeArticle-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/JSYST.2014.2339552-
dc.identifier.scopuseid_2-s2.0-84930203257-
dc.identifier.hkuros245141-
dc.identifier.volume9-
dc.identifier.issue2-
dc.identifier.spage377-
dc.identifier.epage381-
dc.identifier.isiWOS:000355211600006-
dc.publisher.placeUnited States-

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