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dc.contributor.advisorKang, Keebom
dc.contributor.advisorFields, Paul J.
dc.contributor.authorGannon, James M.
dc.dateDecember, 1994
dc.date.accessioned2013-04-11T21:53:23Z
dc.date.available2013-04-11T21:53:23Z
dc.date.issued1994-12
dc.identifier.urihttp://hdl.handle.net/10945/30537
dc.description.abstractSystem reliability can be expressed in terms of the pattern of failure events over time. Assuming a nonhomogeneous Poisson process, and Weibull intensity function for complex repairable system failures, the degree of system deterioration can be approximated. Maximum likelihood estimators (MLEs) for the system Rate of Occurrence of Failure (ROCOF) function are presented. Evaluating the integral of the ROCOF over annual usage intervals yields the expected number of annual system failures. By associating a cost of failure with the expected number of failures, budget and program policy decisions can be made based on expected future maintenance costs. Monte Carlo simulation is used to estimate the range and the distribution of the net present value and intemal rate of return of alternative cash flows based on the distributions of the cost inputs and confidence intervals of the MLEs. (AN)en_US
dc.description.urihttp://archive.org/details/forecastingoverh1094530537
dc.format.extent103 p.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleForecasting overhaul or replacement intervals based on estimated system failure intensityen_US
dc.title.alternativeNAen_US
dc.typeThesisen_US
dc.contributor.departmentManagement
dc.subject.authorNAen_US
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Marine Corps (U.S.M.C.) author.en_US
etd.thesisdegree.nameM.S. in Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineManagementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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