Establishing a frame of reference for measuring disaster resilience Zobel, Christopher MacKenzie, Cameron MacKenzie, Cameron Baghersad, Milad Li, Yuhong
dc.contributor.department Industrial and Manufacturing Systems Engineering 2021-04-28T01:20:28.000 2021-04-30T08:46:29Z 2021-04-30T08:46:29Z Wed Jan 01 00:00:00 UTC 2020 2021-01-01
dc.description.abstract <p>Due to the increasing occurrence of disruptions across our global society, it has become critically important to understand the resilience of different socio-economic systems, i.e., to what extent those systems exhibit the ability both to resist a disruption and to recover from one once it occurs. In order to characterize this ability, however, one must be able to quantitatively measure the relative level of resilience that a given system displays in response to a disruptive event. Such a measurement should be easily understandable and straightforward to implement, but it should also utilize a consistent frame of reference so that one can properly compare the relative performance of different systems and assess the relative effectiveness of different resilience investments. With this in mind, this paper presents an improved approach for measuring system resilience that supports better decision making by providing both consistency and flexibility across different contexts. The theoretical basis for the approach is developed first, and then its advantages and limitations are illustrated in the context of several different practical examples.</p>
dc.description.comments <p>This is a manuscript of an article published as Zobel, Christopher W., Cameron A. MacKenzie, Milad Baghersad, and Yuhong Li. "Establishing a frame of reference for measuring disaster resilience." <em>Decision Support Systems</em> 140 (2021): 113406. DOI: <a href="" target="_blank">10.1016/j.dss.2020.113406</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1272
dc.identifier.contextkey 22690310
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_pubs/271
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:06:33 UTC 2022
dc.source.uri 10.1016/j.dss.2020.113406
dc.subject.disciplines Operational Research
dc.subject.disciplines Systems Engineering
dc.subject.keywords Predicted resilience
dc.subject.keywords Disaster operations management
dc.subject.keywords Quantitative modeling
dc.subject.keywords Decision support
dc.title Establishing a frame of reference for measuring disaster resilience
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication ecd737cd-4b41-4270-9289-39fb4be29378
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
Original bundle
Now showing 1 - 1 of 1
1.34 MB
Adobe Portable Document Format