Show simple item record

dc.contributor.advisorO'Halloran, Bryan M.
dc.contributor.authorKosempel, John W.
dc.date.accessioned2018-10-26T19:21:46Z
dc.date.available2018-10-26T19:21:46Z
dc.date.issued2018-09
dc.identifier.urihttp://hdl.handle.net/10945/60421
dc.description.abstractTwo common reliability prediction methods are the traditional method and physics of failure method. Each method requires accurate failure data in order to fully assess a system’s durability. This is particularly important in early system design when historical design and relative failure rates are non-existent. Consequently, practitioners rely on the use of external reliability data sources such as MIL-HDBK-217F, especially when using the traditional reliability approach. Several other external reliability data sources are available to the practitioner, each with its own strengths and limitations. This thesis surveys the various external data sources industries use in reliability predictions and assesses the completeness of the reliability data sources. The thesis presents the inherent limitations of all external data sources along with further considerations on using the traditional reliability approach. Early system design offers practitioners a significant amount of decision-making flexibility. This thesis further analyzes both reliability approaches and addresses when it is appropriate for a practitioner to use either approach or a combination of the two approaches. The author develops a reliability decision framework to aid practitioners in selecting the reliability prediction approach appropriate for the system.en_US
dc.description.urihttp://archive.org/details/assessmentofexte1094560421
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleASSESSMENT OF EXTERNAL RELIABILITY DATA SOURCES AND RELIABILITY PREDICTIONS OF COMPLEX SYSTEMS IN EARLY SYSTEM DESIGNen_US
dc.typeThesisen_US
dc.contributor.secondreaderPollman, Anthony G.
dc.contributor.departmentSystems Engineering (SE)
dc.subject.authorreliabilityen_US
dc.subject.authorexternal data sourcesen_US
dc.subject.authorsystems engineeringen_US
dc.subject.authorreliability prediction methodsen_US
dc.subject.authorreliability modelingen_US
dc.subject.authorcomplex systemsen_US
dc.subject.authordesign for reliabilityen_US
dc.subject.authorearly system designen_US
dc.subject.authorphysics of failureen_US
dc.subject.authorreliability decision frameworken_US
dc.subject.authorpreliminary designen_US
dc.description.serviceCivilian, Department of the Navyen_US
etd.thesisdegree.nameMaster of Science in Systems Engineering Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineSystems Engineering Managementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid30495
dc.description.distributionstatementApproved for public release; distribution is unlimited.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record