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Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios

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TitleInfo
Title
Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios
Name (type = personal)
NamePart (type = family)
Chatwattanasiri
NamePart (type = given)
Nida
NamePart (type = date)
1983-
DisplayForm
Nida Chatwattanasiri
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Coit
NamePart (type = given)
David W.
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David W. Coit
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Gursoy
NamePart (type = given)
Melike Baykal
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Melike Baykal Gursoy
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Jeong
NamePart (type = given)
Myong K.
DisplayForm
Myong K. Jeong
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Tortorella
NamePart (type = given)
Michael
DisplayForm
Michael Tortorella
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = personal)
NamePart (type = family)
Wattanapongsakorn
NamePart (type = given)
Naruemon
DisplayForm
Naruemon Wattanapongsakorn
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2015
DateOther (qualifier = exact); (type = degree)
2015-05
Place
PlaceTerm (type = code)
xx
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2015
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
A new modeling approach has been developed to optimally design a degradable system structure and maintenance plans for applications exposed to distinct stresses under different environments and diverse usage conditions. When component stresses change or shift in the future and diverse operating conditions, equipment or components may not be operating with the same stress profile that was presented when the historical data was collected and analyzed. A more detailed mathematical perspective is described to analyze the uncertainty of actual system usages in future scenarios that take variations and uncertainties explicitly into consideration. The integrated development of cost-reliability optimization models and a system maintenance policy is an interesting and challenging problem. A new integrated system optimization planning model is developed and applied to provide an insightful mathematical representation of the process that more directly represents the system reliability design process. A four-stage optimization model is constructed to accommodate sequences of decisions over time with random future usage scenarios. In the first and second stage, a two-stage stochastic model with recourse is formulated with a system cost, reliability and maintenance combined objective function to determine an initial design structure and corrective or preventive maintenance intervals. In the third-stage, the system is fielded and data is collected and analyzed to update model parameters and coefficient estimates, and adaptive preventive maintenance optimization is performed. Bayesian posterior distributions are constructed to provide the model with timely and improved estimates to reflect the fielded data. In the fourth-stage, a cost saving strategy is implemented to decide whether the current system design or a new or revised system design can provide sufficient cost savings beyond a threshold to justify design changes. The optimization models are expressed as nonlinear stochastic integer programming models where several tools are used for solving problems. In particular, pattern-search (from MATLAB toolbox), iterative coordinate descent and neighborhood heuristic search are the methods used for searching the feasible region to obtain optimal or recommended model solutions. Theoretical and simulated examples are solved to demonstrate the modeling approach and results.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6229
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiii, 163 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Reliability
Subject (authority = ETD-LCSH)
Topic
Mathematical optimization
Subject (authority = ETD-LCSH)
Topic
Stochastic processes
Note (type = statement of responsibility)
by Nida Chatwattanasiri
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3319XQC
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Chatwattanasiri
GivenName
Nida
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-03-27 19:34:41
AssociatedEntity
Name
Nida Chatwattanasiri
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
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ETD
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windows xp
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