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Modeling and optimization of container inspection systems

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Modeling and optimization of container inspection systems
Identifier
ETD_2834
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056869
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Industrial and Systems Engineering
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Containers--Inspection
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Container terminals--Security measures
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Scheduling (Management)
Abstract (type = abstract)
Container inspection is vital to maintaining secure ports-of-entry and preventing undesired cargo from entering the United States. The inspection process can be generalized as the collection and analysis of information obtained from multiple sensors. Formulating a mathematical model of container inspection allows for evaluation and improvement of the process. The performance of the system under a specified policy is evaluated using one or more objectives such as misclassification errors (false accept and false reject), costs associated with these errors, inspection cost, inspection time, and others. The main contributions of this research are the modeling, formulation, and optimization of inspection policies under different conditions. Furthermore, the dissertation introduces a new class of problems in scheduling theory in which the allocation of inspections is not defined and appears as a decision variable in the solution. In the initial model, the overall system decision is a Boolean function of the individual station decisions. Under these conditions we define an optimal sequence of stations with respect to the expected cost of inspection and solve simultaneously for the threshold level values and sequence of stations that produce a minimum total cost. This optimization is extended to include the time for inspection as an objective and a multi-objective optimization approach is developed. Next we introduce an independent error term that accounts for measurement error contributed by the sensor and propose some strategies, including repeat inspection, to improve the system’s performance. We investigate an approach to approximating the efficient frontier for three objectives. We then consider distinct risk categories and due times for containers. Approaches are developed to determine the optimal allocation and scheduling of inspection operations to minimize false acceptance and tardiness objectives. The problem is presented as a variation of the open shop scheduling problem with no predefined operations. A solution approach to this simultaneous allocation and scheduling problem is proposed and its performance is compared with an enumerative approach. The results show that the proposed approach produces near-optimal solutions in a much shorter time than full enumeration and is capable of solving large problems for which the enumerative approach is intractable.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
ix, 176 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Christina M. Young
Name (ID = NAME-1); (type = personal)
NamePart (type = family)
Young
NamePart (type = given)
Christina M.
NamePart (type = date)
1981-
Role
RoleTerm (authority = RULIB)
author
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Christina Young
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
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chair
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Advisory Committee
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Elsayed A Elsayed
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NamePart (type = family)
Albin
NamePart (type = given)
Susan L
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internal member
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Advisory Committee
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Susan L Albin
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Coit
NamePart (type = given)
David W
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internal member
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Advisory Committee
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David W Coit
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Roberts
NamePart (type = given)
Fred S
Role
RoleTerm (authority = RULIB)
outside member
Affiliation
Advisory Committee
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Fred S Roberts
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3ZP45VG
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Young
GivenName
Christina
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-09-28 12:20:16
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Christina Young
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
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.
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Technical

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ETD
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application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
1771520
Checksum (METHOD = SHA1)
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