<?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>2026-09-22T01:51:22Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111439" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111439</identifier><datestamp>2022-01-28T19:27:28Z</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">Franz-Josef Ulm and Charles H. Fine.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Alhamad, Hashim</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 Civil and Environmental 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">2017-09-15T15:34:14Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003292772</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, in conjunction with the Leaders for Manufacturing Program at MIT, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Manufacturing Program at MIT, 2017.</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 (pages 49-50).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Li &amp; Fung is a supply chain leader in consumer goods specializing in apparel, beauty products, furnishings, household goods, health and toys. It employees more than 20,000 people and supplies material from 15,000 suppliers in more than 40 countries. Managing the environmental impact of products made by Li &amp; Fung and its suppliers is a crucial part of LF's sustainability strategy. The objective of this internship based project is to assess product environmental footprint throughout multiple tiers of the garment supply chain. The approach to resolve the problem is to investigate of the current state of Li &amp; Fung factories, create a mobile tool to collect and analyze data from factories and produce final environmental scores for factories and products. The mobile tool and the environmental scores will allow (1) factories to benchmark against each other in terms of their environmental performance, and (2) provide essential data to brands (Li &amp; Fung customers) to make more conscious sourcing decisions.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Hashim Alhamad.</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">50 pages</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Leveraging data for increased sustainability of products &amp; factories</dim:field>
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   	&lt;Title>Leveraging data for increased sustainability of products &amp;amp; factories&lt;/Title>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
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   	&lt;Abstract>Li &amp;amp; Fung is a supply chain leader in consumer goods specializing in apparel, beauty products, furnishings, household goods, health and toys. It employees more than 20,000 people and supplies material from 15,000 suppliers in more than 40 countries. Managing the environmental impact of products made by Li &amp;amp; Fung and its suppliers is a crucial part of LF&amp;apos;s sustainability strategy. The objective of this internship based project is to assess product environmental footprint throughout multiple tiers of the garment supply chain. The approach to resolve the problem is to investigate of the current state of Li &amp;amp; Fung factories, create a mobile tool to collect and analyze data from factories and produce final environmental scores for factories and products. The mobile tool and the environmental scores will allow (1) factories to benchmark against each other in terms of their environmental performance, and (2) provide essential data to brands (Li &amp;amp; Fung customers) to make more conscious sourcing decisions.&lt;/Abstract>
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