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dc.contributor.authorYodo, Nita
dc.contributor.authorWang, Pingfeng
dc.date.accessioned2016-08-18T20:32:55Z
dc.date.available2016-08-18T20:32:55Z
dc.date.issued2016
dc.identifier.citationYodo, Nita; Wang, Pingfeng. 2016. Resilience analysis and allocation for complex systems using bayesian network. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 2A: 41st Design Automation Conference Boston, Massachusetts, USA, August 2–5, 2015en_US
dc.identifier.isbn978-0-7918-5707-6
dc.identifier.otherWOS:000379883700040
dc.identifier.urihttp://dx.doi.org/10.1115/DETC2015-46999
dc.identifier.urihttp://hdl.handle.net/10057/12386
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe concept of resilience has been explored in diverse disciplines. However, there are only a few which focus on how to quantitatively measure engineering resilience and allocate resilience in engineering system design. This paper is dedicated to exploring the gap between quantitative and qualitative assessments of engineering resilience in the domain of designing complex engineered systems, thus optimally allocating resilience into subsystems and components level in industrial applications. A conceptual framework is first proposed for modeling engineering resilience, and then Bayesian Network is employed as a quantitative tool for the assessment and analysis of engineering resilience for complex systems. One industrial based case study, a supply chain system, is employed to demonstrate the proposed approach. The proposed resilience quantification and allocation approach using Bayesian Networks would empower system designers to have a better grasp of the weakness and strength of their own systems against system disruptions induced by adverse failure events.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.relation.ispartofseriesASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference;v.2A
dc.subjectComplex systemsen_US
dc.subjectResilienceen_US
dc.titleResilience analysis and allocation for complex systems using bayesian networken_US
dc.typeConference paperen_US
dc.rights.holderCopyright © 2015 by ASMEen_US


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