dc.contributor.advisor | Barker, Kash | |
dc.contributor.author | Christensen, Mick Barlach | |
dc.date.accessioned | 2022-05-05T14:10:13Z | |
dc.date.available | 2022-05-05T14:10:13Z | |
dc.date.issued | 2022-05 | |
dc.identifier.uri | https://hdl.handle.net/11244/335527 | |
dc.description.abstract | Determining which network components to focus on in case of a disruption can be determined by the component with the greatest importance to the network. This study extends a balancing component added to a list of optimization targets in multi-state system to a multi-commodity network. A bi-objective optimization problem is developed in which one objective seeks to minimize the difference in a flow-based component importance measure across one-at-a-time interdiction scenarios by adding capacity to components, while the other minimizes unmet demand to encourage flow through the network. The optimization approach is applied to a multi-commodity Swedish railway network, where a set of link capacity increases per commodity are suggested based on the desire to balance the network. | en_US |
dc.language | en | en_US |
dc.subject | Multi-commodity network optimization | en_US |
dc.subject | Network interdiction | en_US |
dc.subject | Network resilience | en_US |
dc.subject | Importance measures | en_US |
dc.title | Component Importance Balancing of Multi-Commodity Networks | en_US |
dc.contributor.committeeMember | Gonzalez, Andres | |
dc.contributor.committeeMember | Zhu, Rui | |
dc.date.manuscript | 2022-05 | |
dc.thesis.degree | Master of Science | en_US |
ou.group | Gallogly College of Engineering::School of Industrial and Systems Engineering | en_US |
shareok.orcid | 0000-0002-7873-2610 | en_US |