<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T22:35:13Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/132880" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/132880</identifier><datestamp>2025-10-30T15:50:02Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Bryan R. Moser.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Carson, Christopher E.
            (Christopher Everett)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2021</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2021</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1263356810</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from the official version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 193-199).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The United States no longer has the luxury of overspending on military weapon systems. Military programs have steadily cost more, taken longer, and delivered less. How can the Department of Defense reverse this trend? The Department of Defense prescribes the use of an Earned Value Management System (EVMS) to control large, complex engineering projects. According to academic literature, the earned value method can be an effective project control technique but also has significant flaws. Modern integrated project models allow for innovative new approaches to project control which may be superior to the earned value method. Department of Defense policy reveals that integrating cost, schedule, and scope; accurately forecasting project status to allow for proactive decision making; and effective risk mitigation are the most important features of a project control method. This thesis reviews earned value method research and Department of Defense EVMS policy. This thesis also evaluates four project control methods through an experiment that uses an integrated project model. Subject to the specific conditions represented in the model, a Multiple Risk Level model-based control method enabled more proactive decision making than a modified version of the earned value method in the experiment. However, the Multiple Risk Level model did not forecast or enable risk mitigation as well as the modified earned value method in the experiment. The results of this analysis suggest that the ideal project control technique depends on the goals, nature, and environment of the project. Therefore, the Department of Defense should use integrated project models to tailor project control strategies to best suit acquisition programs.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Christopher E. Carson</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Engineering and Management</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">199 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering and Management Program.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">An integrated model-based approach to improving project control in Department of Defense acquisition</dim:field>
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   	&lt;Title>An integrated model-based approach to improving project control in Department of Defense acquisition&lt;/Title>
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   	&lt;Abstract>The United States no longer has the luxury of overspending on military weapon systems. Military programs have steadily cost more, taken longer, and delivered less. How can the Department of Defense reverse this trend? The Department of Defense prescribes the use of an Earned Value Management System (EVMS) to control large, complex engineering projects. According to academic literature, the earned value method can be an effective project control technique but also has significant flaws. Modern integrated project models allow for innovative new approaches to project control which may be superior to the earned value method. Department of Defense policy reveals that integrating cost, schedule, and scope; accurately forecasting project status to allow for proactive decision making; and effective risk mitigation are the most important features of a project control method. This thesis reviews earned value method research and Department of Defense EVMS policy. This thesis also evaluates four project control methods through an experiment that uses an integrated project model. Subject to the specific conditions represented in the model, a Multiple Risk Level model-based control method enabled more proactive decision making than a modified version of the earned value method in the experiment. However, the Multiple Risk Level model did not forecast or enable risk mitigation as well as the modified earned value method in the experiment. The results of this analysis suggest that the ideal project control technique depends on the goals, nature, and environment of the project. Therefore, the Department of Defense should use integrated project models to tailor project control strategies to best suit acquisition programs.&lt;/Abstract>
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