<?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>2026-09-19T06:14:30Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/77471" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/77471</identifier><datestamp>2026-06-06T01:03:51Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>com_1721.1_101402</setSpec><setSpec>col_1721.1_131023</setSpec><setSpec>col_1721.1_101610</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">Roberto Perez-Franco.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wilson, Darren (Darren Edward)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Yeung, Gerald</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Engineering Systems Division.</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">2013-03-01T15:08:48Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-03-01T15:08:48Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/77471</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">827224908</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.</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. 65-68).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This research project explores the benefits of retail data sharing in a high-velocity perishable goods supply chain. While this technique has been largely effective in improving supply chain performance in different industries, its benefits are unproven in the perishable goods business. Specifically, due to the short shelf life of produce, it remains to be seen whether data sharing can generate actionable plans for retailers to reduce out-of-stock events and shrinkage due to spoilage. As a result, suppliers and retailers alike have been reluctant to invest in the technology and cultivate the business relationship required to enable data sharing. The findings of this thesis could help companies determine whether a business case can be built for suppliers to invest in the necessary technology, as well as for retailers to share operational data for the greater good of overall supply chain efficiency and profitability. Ultimately, our research indicates that without some fundamental changes to the retailers' ordering process, data sharing does not provide substantial operational benefits for the perishable goods supply chain.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Darren Wilson and Gerald Yeung.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng. in Logistics</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">68 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="title" lang="en_US">The effects of data sharing on a perishable goods supply chain</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>The effects of data sharing on a perishable goods supply chain&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Wilson, Darren (Darren Edward)&lt;/DisplayName>
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        	&lt;DisplayName>Yeung, Gerald&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
   	&lt;Abstract>This research project explores the benefits of retail data sharing in a high-velocity perishable goods supply chain. While this technique has been largely effective in improving supply chain performance in different industries, its benefits are unproven in the perishable goods business. Specifically, due to the short shelf life of produce, it remains to be seen whether data sharing can generate actionable plans for retailers to reduce out-of-stock events and shrinkage due to spoilage. As a result, suppliers and retailers alike have been reluctant to invest in the technology and cultivate the business relationship required to enable data sharing. The findings of this thesis could help companies determine whether a business case can be built for suppliers to invest in the necessary technology, as well as for retailers to share operational data for the greater good of overall supply chain efficiency and profitability. Ultimately, our research indicates that without some fundamental changes to the retailers&amp;apos; ordering process, data sharing does not provide substantial operational benefits for the perishable goods supply chain.&lt;/Abstract>
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