<?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>2026-09-20T09:09:23Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/67551" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/67551</identifier><datestamp>2026-06-06T01:05:01Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>com_1721.1_80738</setSpec><setSpec>com_1721.1_1773</setSpec><setSpec>col_1721.1_131023</setSpec><setSpec>col_1721.1_80739</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" lang="en_US">Ricardo Valerdi.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Evans, Dennis C. (Dennis Christopher)</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">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-12-09T21:22:32Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-12-09T21:22:32Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/67551</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">761391095</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 117-118).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The U. S. federal government contracts over five hundred billion dollars in goods and services each year. Traditionally, these contracts are awarded on the basis of a combination of a contractor's proposed cost, quality, technical capability and demonstrated past performance. While all valid and important comparators, the overall quality and customer satisfaction achieved at the completion of contracts awarded on these bases remains highly variable from contract-to-contract. This thesis examines potential reasons for the variability of these results and further proposes additional factors for contract evaluation and award that should improve the chances for successful contract outcomes. Twenty four randomly selected and recently completed U. S. Coast Guard construction contracts were used as the basis for study. The documented performance information for each contract was compared against contract demographic information in a search for correlations that are predictive of the likelihood of a high level of contract satisfaction. Contract performance ratings, contract timeliness and contract on-budget performance were compared to overall contractor annual revenue, total contractor employees, the relative contract size and a contractor's revenue per employee. The main finding is that total contractor revenue, relative contract size (higher is better) and contractor revenue per employee (higher is better) are reliable predictors of performance and should be considered as relevant source selection factors for negotiated contracts. Capable small contractors should be selected not simply as a matter of conformance to a social program, but because the expected results are higher. In addition, the following recommendations apply in order to maximize the probability of positive performance outcomes on U. S. Coast Guard construction contracts: 1) Improve the collection and utilization of past performance data. 2) Minimize sealed-low bid contracting. 3) Maximize contracts by negotiation. 4) Maximize the usage of small businesses, above the "micro-small" level.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Dennis C. Evans.</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="format" qualifier="extent" lang="en_US">122 p.</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">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</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">Predictors of successful outcomes of U.S. Coast Guard construction contracts</dim:field>
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   	&lt;Title>Predictors of successful outcomes of U.S. Coast Guard construction contracts&lt;/Title>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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        	&lt;DisplayName>Evans, Dennis C. (Dennis Christopher)&lt;/DisplayName>
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    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
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   	&lt;Abstract>The U. S. federal government contracts over five hundred billion dollars in goods and services each year. Traditionally, these contracts are awarded on the basis of a combination of a contractor&amp;apos;s proposed cost, quality, technical capability and demonstrated past performance. While all valid and important comparators, the overall quality and customer satisfaction achieved at the completion of contracts awarded on these bases remains highly variable from contract-to-contract. This thesis examines potential reasons for the variability of these results and further proposes additional factors for contract evaluation and award that should improve the chances for successful contract outcomes. Twenty four randomly selected and recently completed U. S. Coast Guard construction contracts were used as the basis for study. The documented performance information for each contract was compared against contract demographic information in a search for correlations that are predictive of the likelihood of a high level of contract satisfaction. Contract performance ratings, contract timeliness and contract on-budget performance were compared to overall contractor annual revenue, total contractor employees, the relative contract size and a contractor&amp;apos;s revenue per employee. The main finding is that total contractor revenue, relative contract size (higher is better) and contractor revenue per employee (higher is better) are reliable predictors of performance and should be considered as relevant source selection factors for negotiated contracts. Capable small contractors should be selected not simply as a matter of conformance to a social program, but because the expected results are higher. In addition, the following recommendations apply in order to maximize the probability of positive performance outcomes on U. S. Coast Guard construction contracts: 1) Improve the collection and utilization of past performance data. 2) Minimize sealed-low bid contracting. 3) Maximize contracts by negotiation. 4) Maximize the usage of small businesses, above the &amp;quot;micro-small&amp;quot; level.&lt;/Abstract>
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