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The effects of network structure on supply chain risk propagation
Descriptive
TitleInfo
Title
The effects of network structure on supply chain risk propagation
SubTitle
a simulation study
Name
(type = personal)
NamePart
(type = family)
Garvey
NamePart
(type = given)
Myles D.
NamePart
(type = date)
1988-
DisplayForm
Myles D. Garvey
Role
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(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Yeniyurt
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(type = given)
Sengun
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Sengun Yeniyurt
Affiliation
Advisory Committee
Role
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chair
Name
(type = personal)
NamePart
(type = family)
Katehakis
NamePart
(type = given)
Michael
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Michael Katehakis
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Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Leuschner
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(type = given)
Rudolf
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Rudolf Leuschner
Affiliation
Advisory Committee
Role
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internal member
Name
(type = personal)
NamePart
(type = family)
Carnovale
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(type = given)
Steven
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Steven Carnovale
Affiliation
Advisory Committee
Role
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outside member
Name
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NamePart
Rutgers University
Role
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(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - Newark
Role
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school
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Text
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theses
OriginInfo
DateCreated
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2018
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2018-10
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2018
Language
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eng
Abstract
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Disruptions frequently occur in supply chains and hence pose problems for practitioners of whom seek to design efficient and resilient supply networks. Events that lead to such disruptions are commonly referred to as Supply Chain Risks. While many have studied the effect that risk has on consequences of certain decisions made, few have attempted to explore the effects that the inherent structure of a supply network has on the global and local risk of a supply chain. In addition, few have studied the effects that global and local network structure have on risk propagation to individual firms and connections within the network. In this dissertation, I explore the effects that inherent global and local network structural characteristics, operationalized via graph-theoretic measures as well as local centrality measures, have on global and local risk propagation. I do so by employing a simulation study to generate a very large data set of networks and various risk distributions. The primary risk measurement tool used in this study are Bayesian Networks. Last, I explore the effect that various strategic decisions have on global and local risk, and how such decisions can alter the current state of risk in supply networks.
Subject
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Topic
Management
Subject
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Topic
Business logistics--Risk management
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_9302
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electronic resource
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Extent
1 online resource (352 pages) : illustrations
Note
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Ph.D.
Note
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Includes bibliographical references
Note
(type = statement of responsibility)
by Myles D. Garvey
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Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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NjNbRU
Identifier
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doi:10.7282/t3-hczn-sr52
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Garvey
GivenName
Myles
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2018-10-01 15:18:46
AssociatedEntity
Name
Myles Garvey
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
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.
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Embargo
DateTime
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2018-10-31
DateTime
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2020-10-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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