Availability analysis of opportunistic age replacement policies

dc.contributor.authorDegbotse, Alfred Tsatsuen
dc.contributor.committeechairNachlas, Joel A.en
dc.contributor.committeememberKobza, John E.en
dc.contributor.committeememberBlanchard, Benjamin S. Jr.en
dc.contributor.committeememberSumichrast, Robert T.en
dc.contributor.committeememberTerrell, George R.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2014-03-14T21:12:04Zen
dc.date.adate2008-06-06en
dc.date.available2014-03-14T21:12:04Zen
dc.date.issued1996-09-15en
dc.date.rdate2008-06-06en
dc.date.sdate2008-06-06en
dc.description.abstractThis research develops the availability function for a two component series system in which a component is replaced because of component failure or because it reaches a prescribed age. Also each component replacement provides an opportunity for the replacement of the other component. This last maintenance policy is called an opportunistic replacement strategy. The system functions only if the both components of the system are functioning. The system fails if either of the components fails. Component i is replaced if it fails before attaining age T<sub>i</sub> since it was last replaced or maintained. The component i is preventatively maintained if is has not failed by the age T<sub>i</sub>. This type of replacement plan is called age replacement policy. When component 1 is being replaced or preventatively maintained, if the age of component j ≠ i exceeds τ<sub>j</sub> then both components i and j are replaced at the same time. This type of replacement is called opportunistic replacement of component j and τ<sub>j</sub> is called the opportunistic replacement time for component j. The time dependent and long run availability measures for the system are developed. A nested renewal theory approach is used is used to develop the system availability function. The nesting is defined by considering the replacement of a specific one of the components as an elementary renewal event and the simultaneous replacement of both components as the macroscopic renewal event. More specifically, the renewal process for the system represents a starting point for the entire system and is in fact a renewal process. The intervals between system regeneration points are called “major intervals". The age replacement time T<sub>i</sub> and opportunistic replacement time τ<sub>i</sub> are treated as decision parameters during the model development. The probability distribution of the major interval is developed and the Laplace transform of the system availability is developed. Four replacement models are obtained from the main opportunistic age replacement policy. These are a failure replacement policy, an opportunistic failure model, a partial opportunistic age replacement policy and an opportunistic age replacement policy. These models are obtained as specific cases of the general model. The long run availability measure for the failure replacement model is proven to be the same measure as that developed by Barlow and Proschan. This proof validates the modeling approach.en
dc.description.degreePh. D.en
dc.format.extentviii, 231 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-06062008-151304en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06062008-151304/en
dc.identifier.urihttp://hdl.handle.net/10919/37999en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1996.D443.pdfen
dc.relation.isformatofOCLC# 36114045en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectopportunistic replacementen
dc.subjectrenewal theoryen
dc.subjectreplacementen
dc.subjectmaintenanceen
dc.subject.lccLD5655.V856 1996.D443en
dc.titleAvailability analysis of opportunistic age replacement policiesen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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