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Managing supply chain risks in government acquisitions programs

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TitleInfo
Title
Managing supply chain risks in government acquisitions programs
SubTitle
success factors and lessons learned from fifth generation fighters
Name (type = personal)
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Gerlovin
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Irene
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Irene Gerlovin
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author
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Zhao
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Yao
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Yao Zhao
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Advisory Committee
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chair
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Chen
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Weiwei
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Weiwei Chen
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Advisory Committee
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internal member
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Leuschner
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Rudolph
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Rudolph Leuschner
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Advisory Committee
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internal member
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Qi
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Lian
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Lian Qi
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Yang
NamePart (type = given)
Nan
DisplayForm
Nan Yang
Affiliation
Advisory Committee
Role
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outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
Role
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school
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Text
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theses
OriginInfo
DateCreated (qualifier = exact)
2017
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2017-10
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2017
Place
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xx
Language
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eng
Abstract (type = abstract)
The combined capabilities and performance of US weapon systems are unmatched throughout the world, ensuring that US military forces have the advantage over any adversary . The US government spends huge amounts of capital and manpower to develop and acquire advanced equipment for defense purposes. Unfortunately, only a few of such acquisition programs were successful . Many of them, including F-35 and F-22, seem to have failed than succeeded. The US Government Accountability Office (GAO) has reported extensively on problems in cost, schedule overruns, and performance breakdowns for major defense acquisition programs. Combining multiple case studies (on F-35 and F-22 programs) and a statistical analysis of the FY2015 Major Defense Acquisition Programs (MDAPs) data from GAO, we look into the frequent challenges encountered by such programs. Focused on the areas of: program management and supply chain risk management, we will explore industry and government prospectives. Our objective is to shed light on a fundamental issue in government acquisitions: “What conditions are necessary for successful procurement?” Identifying these conditions can lead to increased efficiency by helping the stakeholders to determine best practices and allocation of resources. This thesis first provides a statistical analysis on the data of FY2015 Portfolio of MDAPs, with the objective of identifying statistically significant factors for the delays and cost overruns. We provide an overall assessment on the performance of these programs, and study the impact of project age, quantity changes, service type and contractor on the total acquisition cost overrun, unit cost overrun and the schedule delay. Based on public data, collected from GAO’s reports and other publicly available sources, we identify issues in program and supply chain management practices of two large-scale acquisitions (F-22 and F-35). We compare the similarities and differences between the two MDAPs led by the largest global defense contractor, Lockheed Martin (LM). Our event analysis looks into the causes for the major delays and setbacks of these programs, outlines the important challenges on schedule, cost and execution in MDAPs, and relates the causes to their program and supply chain management strategies. We analyze and classify the causes by technical, managerial and governmental categories, provide the lessons learned, and recommend remedial strategies. We also provide a game theory explanation of the rationales behind the delays and cost overrun, and comment on the best practices and recent changes of the government’s regulations / policy. This dissertation contributes to the literature of government acquisitions in the following ways: First, despite the significant news media coverage of the two fifth-generation tactical aircrafts, there is no comprehensive case study (and event analysis) on them. Our research is the first attempt to systematically collect, summarize and analyze the major setbacks of these programs; Second, unlike the literature that focuses mostly on program management, our work also takes the supply chain management perspective by studying and tracking the performance of, not only the major contractors, but also their supply chains, and their roles in the development and setbacks of the programs; Third, our statistical analysis of the FY2015 MDAPs data, provides additional perspectives and insights on the driving factors behind cost overrun and schedule delays, as well as their connections.
Subject (authority = RUETD)
Topic
Management
Subject (authority = ETD-LCSH)
Topic
Business logistics--Risk management
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_8453
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xiv, 179 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Irene Gerlovin
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/T38G8PS1
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Gerlovin
GivenName
Irene
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-09-29 08:11:39
AssociatedEntity
Name
Irene Gerlovin
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
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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.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2018-10-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2018.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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