<?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>2026-09-20T01:12:29Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/44742" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/44742</identifier><datestamp>2022-01-28T19:27:04Z</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" lang="en_US">Duane Boning and Roy E. Welsch.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Pulitzer, Seward Webb, 1974-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Leaders for Manufacturing Program at MIT</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-03-16T19:36:52Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2009-03-16T19:36:52Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/44742</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">298555891</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 119-120).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Corporate research and development (R&amp;D) drives progress in the high-tech industries. Companies that advance the state-of-the-art in product performance enjoy significant advantages over the competition. However, although technical achievement may be required for competitiveness, it is far from sufficient. The successful creation of a prototype is in no way an indication that large quantities of identical units can be economically or reliably produced. Indeed, transitioning a new technology from the laboratory in which it was created to a production environment can be as challenging as the actual development. Many of the obstacles on the path to production stem from process variability. The randomness inherent in every manufacturing operation introduces risk into the transition process. As products increasingly become more technologically complex, the need for close coupling between R&amp;D and production groups also grows. However, current trends toward distributed development and outsourced manufacturing work to segregate these groups, increasing the chances that risk factors will be overlooked. This thesis examines the process by which new technologies are transitioned from the laboratory to the shop floor, and addresses some of the risks related to process uncertainty that arise. In particular, it focuses on those challenges that are difficult to recognize. Research for the project was conducted during a six month internship at the Raytheon Company. The transition-to-production process was segmented into three phases, and three related products were used as cases with which each phase could be studied. The problems that appeared in these cases were addressed, and the "lessons learned" were then generalized into a set of guidelines applicable to a broader range of situations.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Seward W. Pulitzer, III.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">120 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 &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
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">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Transitioning technology from R&amp;D to production</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Transforming technology from research and development to production</dim:field>
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   	&lt;Title>Transitioning technology from R&amp;amp;D to production&lt;/Title>
   	&lt;Subtitle>Transforming technology from research and development to production&lt;/Subtitle>
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   	&lt;PublicationDate>2008&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
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   	&lt;Abstract>Corporate research and development (R&amp;amp;D) drives progress in the high-tech industries. Companies that advance the state-of-the-art in product performance enjoy significant advantages over the competition. However, although technical achievement may be required for competitiveness, it is far from sufficient. The successful creation of a prototype is in no way an indication that large quantities of identical units can be economically or reliably produced. Indeed, transitioning a new technology from the laboratory in which it was created to a production environment can be as challenging as the actual development. Many of the obstacles on the path to production stem from process variability. The randomness inherent in every manufacturing operation introduces risk into the transition process. As products increasingly become more technologically complex, the need for close coupling between R&amp;amp;D and production groups also grows. However, current trends toward distributed development and outsourced manufacturing work to segregate these groups, increasing the chances that risk factors will be overlooked. This thesis examines the process by which new technologies are transitioned from the laboratory to the shop floor, and addresses some of the risks related to process uncertainty that arise. In particular, it focuses on those challenges that are difficult to recognize. Research for the project was conducted during a six month internship at the Raytheon Company. The transition-to-production process was segmented into three phases, and three related products were used as cases with which each phase could be studied. The problems that appeared in these cases were addressed, and the &amp;quot;lessons learned&amp;quot; were then generalized into a set of guidelines applicable to a broader range of situations.&lt;/Abstract>
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