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dc.contributor.authorAbadi, A.en
dc.contributor.authorIoannou, Petros A.en
dc.creatorAbadi, A.en
dc.creatorIoannou, Petros A.en
dc.description.abstractA resilient system is one that is able to sustain disruptions by been able to operate close to the optimum or acceptable sub optimum performance by reconfiguring itself to accommodate the disruptions. Resiliency is an important component of sustainability, as a non-resilient system will not be sustainable in the long term. The freight transportation chain that goes through ports is very susceptible to disruptions and poses important issues related to its resiliency. The purpose of this paper is to use optimization models to address freight chain disruption problems and evaluate their resiliency. Our approach is based on reconfiguration to include other resources and routes which in the absence of disruption were not cost effective, and therefore under normal conditions were not feasible choices. Using other resources and alternative routes depends on location, severity, and duration of disruption. Our approach identifies which of these resources and routes are best choices for the kind of disruption that took place. We use a simulation case study that focuses on disruption scenarios in the two major sea ports on the south west coast of the United States. The computational results demonstrate the effectiveness of the developed algorithm in mitigating the impact of freight chain disruption. © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceProceedings of the IEEE Conference on Decision and Controlen
dc.source2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014en
dc.subjectFreight chain disruptionen
dc.subjectmarine terminalsen
dc.subjectmultimodal transportationen
dc.titleOptimization strategies for resilient freight transport and sustainabilityen
dc.description.endingpage6477Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 112311</p>en
dc.contributor.orcidIoannou, Petros A. [0000-0001-6981-0704]

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