<?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>2026-09-24T14:13:56Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/34713" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/34713</identifier><datestamp>2022-01-28T19:48:30Z</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">Alvin W. Drake and Sandy D. Jap.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Creighton, John (John Stuart), 1970-</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">2006-11-08T16:24:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2006-11-08T16:24:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2000</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2000</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">45579042</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 Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program, Massachusetts Institute of Technology, 2000.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 44-45).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis explores a variety of logistics strategies for Qualcomm Wireless Business Solutions (QWBS), focusing on the OmniTRACS system and MVPc display. I develop and apply a model that considers the interactions of inventory processing and inventory movement in the context of total supply chain costs. My goal is to minimize purchased product inventory while reducing product lead-times. Without a formal model, supply chain organization decisions tend to replicate existing designs because it is difficult to find a better solution by trial and error due to the numerous alternatives and the number of variables involved. To develop an understanding of the issues at QWBS, I began by researching technology manufacturing supply chains. I also developed a cost model for analyzing QWBS's supply chain. The final form of this model is a series of spreadsheets which accepts cost data, lead times, and variable demand as key inputs, and produces overall supply chain cost distributions. The supply chain is modeled as a series of processing nodes and transfer links. The model derives its results by simulating variable demand and summing the cost contributions of the nodes and links for each trial. The supply chain research and the cost model provide Qualcomm with a realistic and usable tool to compare both intra- and inter-company supply chain designs in terms of overall channel costs. Furthermore, my results suggest that QWBS should focus its direct shipping supply chain efforts on customers whose demand variation is smaller than QWBS's overall customer average.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by John Creighton.</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">45 leaves</dim:field>
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   <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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Sloan School of Management.</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">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Supply chain strategy for technology manufacturing : a case study</dim:field>
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   	&lt;Title>Supply chain strategy for technology manufacturing : a case study&lt;/Title>
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        	&lt;DisplayName>Creighton, John (John Stuart), 1970-&lt;/DisplayName>
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   	&lt;Abstract>This thesis explores a variety of logistics strategies for Qualcomm Wireless Business Solutions (QWBS), focusing on the OmniTRACS system and MVPc display. I develop and apply a model that considers the interactions of inventory processing and inventory movement in the context of total supply chain costs. My goal is to minimize purchased product inventory while reducing product lead-times. Without a formal model, supply chain organization decisions tend to replicate existing designs because it is difficult to find a better solution by trial and error due to the numerous alternatives and the number of variables involved. To develop an understanding of the issues at QWBS, I began by researching technology manufacturing supply chains. I also developed a cost model for analyzing QWBS&amp;apos;s supply chain. The final form of this model is a series of spreadsheets which accepts cost data, lead times, and variable demand as key inputs, and produces overall supply chain cost distributions. The supply chain is modeled as a series of processing nodes and transfer links. The model derives its results by simulating variable demand and summing the cost contributions of the nodes and links for each trial. The supply chain research and the cost model provide Qualcomm with a realistic and usable tool to compare both intra- and inter-company supply chain designs in terms of overall channel costs. Furthermore, my results suggest that QWBS should focus its direct shipping supply chain efforts on customers whose demand variation is smaller than QWBS&amp;apos;s overall customer average.&lt;/Abstract>
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