dc.contributor.advisor | Barker, Kash | |
dc.contributor.author | Whitman, Mackenzie | |
dc.date.accessioned | 2016-07-21T16:08:23Z | |
dc.date.available | 2016-07-21T16:08:23Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://hdl.handle.net/11244/44222 | |
dc.description.abstract | Preparedness planning for critical infrastructure networks requires evaluating the impact to the network when its components are disrupted. We extend the well-studied problem of component importance measures in single-commodity networks to multi-commodity networks by integrating a multi-commodity optimization model with a multi-criteria decision analysis tool to evaluate the impact of one-at-a-time component disruptions. We analyze commodity-specific impacts on network performance of a Swedish railway system application to rank critical links. | en_US |
dc.language | en_US | en_US |
dc.subject | Network Vulnerability | en_US |
dc.subject | Multi-Commodity | en_US |
dc.subject | Critical Components | en_US |
dc.title | COMPONENT IMPORTANCE OF MULTI-COMMODITY NETWORKS | en_US |
dc.contributor.committeeMember | Karabuk, Suleyman | |
dc.contributor.committeeMember | Nicholson, Charles | |
dc.date.manuscript | 2016 | |
dc.thesis.degree | Master of Science | en_US |
ou.group | College of Engineering::School of Industrial and Systems Engineering | en_US |