<?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>2026-09-18T17:36:35Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/44310" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/44310</identifier><datestamp>2022-01-28T18:12:22Z</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">Daniel E. Whitney and Stephen C. Graves.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Subramanian, Sanjay</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 Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-01-30T16:30:59Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2009-01-30T16:30:59Z</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/1721.1/44310</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">272405168</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; 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. 57).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In today's competitive environment, a compressed flow-time enables companies to present a strong value proposition especially for products with a high asset value. In a retrofitting manufacturing process the state of incoming product and customer requirements is unpredictable. This results in long flow-times from customer order to delivery of completed product. The uncertainty involved in identifying the parts forces companies to complete the engineering analysis and design before procuring parts from the supplier. The freighter conversions group at The Boeing Company is in the business of retrofitting passenger planes into cargo planes. The group is exploring ways to significantly reduce the overall conversion flow-time.This thesis presents an approach to group parts based on its reusability percentage and lead-time. The thesis then introduces a partially decoupled model where different strategies are applied to each group to reduce the overall flow-time.The analysis reveals a high degree of reusability in the retrofitting manufacturing process. Up to 90% of parts were used in every single conversion. When the highly variable parts are excluded, a strategy of ordering and stocking parts before the completion of engineering tasks can help reduce the flow-time with minimal risk. The results show that flow-time can be reduced from 27 to 11 with an investment of less than 1% of annual part cost in safety stock. The obsolescence risk associated with this strategy is less than 0.5% of annual part cost. The analysis further shows that there is a non-linear relationship between flowtime reduction and the investment required in safety stock and obsolescence risk. The analysis presented in this thesis is the result of work done during a 6.5 month LFM internship at The Boeing Company in Everett, Washington.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Sanjay Subramanian.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">57 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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</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">Supply chain strategy for a compressed flow-time retrofitting manufacturing process</dim:field>
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   	&lt;Title>Supply chain strategy for a compressed flow-time retrofitting manufacturing process&lt;/Title>
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   	&lt;PublicationDate>2008&lt;/PublicationDate>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
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   	&lt;Abstract>In today&amp;apos;s competitive environment, a compressed flow-time enables companies to present a strong value proposition especially for products with a high asset value. In a retrofitting manufacturing process the state of incoming product and customer requirements is unpredictable. This results in long flow-times from customer order to delivery of completed product. The uncertainty involved in identifying the parts forces companies to complete the engineering analysis and design before procuring parts from the supplier. The freighter conversions group at The Boeing Company is in the business of retrofitting passenger planes into cargo planes. The group is exploring ways to significantly reduce the overall conversion flow-time.This thesis presents an approach to group parts based on its reusability percentage and lead-time. The thesis then introduces a partially decoupled model where different strategies are applied to each group to reduce the overall flow-time.The analysis reveals a high degree of reusability in the retrofitting manufacturing process. Up to 90% of parts were used in every single conversion. When the highly variable parts are excluded, a strategy of ordering and stocking parts before the completion of engineering tasks can help reduce the flow-time with minimal risk. The results show that flow-time can be reduced from 27 to 11 with an investment of less than 1% of annual part cost in safety stock. The obsolescence risk associated with this strategy is less than 0.5% of annual part cost. The analysis further shows that there is a non-linear relationship between flowtime reduction and the investment required in safety stock and obsolescence risk. The analysis presented in this thesis is the result of work done during a 6.5 month LFM internship at The Boeing Company in Everett, Washington.&lt;/Abstract>
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