<?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>2026-09-20T20:47:54Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/70894" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/70894</identifier><datestamp>2026-06-06T01:05:10Z</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">David Simchi-Levi.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Bustos, Felipe (Felipe Antonio Bustos Sánchez)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Barraza, Fernando Andres.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">System Design and Management Program.</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">2012-05-21T17:27:26Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-05-21T17:27:26Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2011</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/1721.1/70894</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">793104158</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, February 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">"February, 2012." Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 73).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The purpose of this work is to demonstrate that is possible to characterize the US manufacturing activity utilizing public data. Analysis of the state of the art in manufacturing metrics showed that our approach is unique since exploits a niche that is not covered by any existent report or indicator. A Composite Index of Leading Indicators (MCI) was created for the domestic manufacturing activity, exclusively based in official data from the US Census Bureau and the US Bureau of Labor Statistics. The MCI was benchmarked against the US Manufacturing Gross Domestic Product (GDP). As a result, evidence was found that MCI anticipates in 5 - 9 months to the GDP economic fluctuations, as measured through cross-correlation analysis. Additionally, the developed framework was satisfactorily applied to Canada as a second source of validation. In practice, other feature of MCI that stands out respect the existent metrics is that provides insight at the level of subsectors according to the North American Industrial Classification System (NAICS). The MCI behaves properly in 18 of the 20 subsectors analyzed, being of especial interest the subsectors like Primary Metals and Petroleum and Coal Products, which have a larger lead and correlation. Conclusions of our work show that the manufacturing sector can be effectively described using the MCI, providing managers and decision makers with a novel perspective of the upcoming manufacturing scenario.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">Felipe Bustos and Fernando Barraza.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Engineering and Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">175 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">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Characterizing manufacturing activity in the United States of America : composite index of leading indicators</dim:field>
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   	&lt;Title>Characterizing manufacturing activity in the United States of America : composite index of leading indicators&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Bustos, Felipe (Felipe Antonio Bustos Sánchez)&lt;/DisplayName>
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        	&lt;DisplayName>Barraza, Fernando Andres.&lt;/DisplayName>
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    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
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   	&lt;Abstract>The purpose of this work is to demonstrate that is possible to characterize the US manufacturing activity utilizing public data. Analysis of the state of the art in manufacturing metrics showed that our approach is unique since exploits a niche that is not covered by any existent report or indicator. A Composite Index of Leading Indicators (MCI) was created for the domestic manufacturing activity, exclusively based in official data from the US Census Bureau and the US Bureau of Labor Statistics. The MCI was benchmarked against the US Manufacturing Gross Domestic Product (GDP). As a result, evidence was found that MCI anticipates in 5 - 9 months to the GDP economic fluctuations, as measured through cross-correlation analysis. Additionally, the developed framework was satisfactorily applied to Canada as a second source of validation. In practice, other feature of MCI that stands out respect the existent metrics is that provides insight at the level of subsectors according to the North American Industrial Classification System (NAICS). The MCI behaves properly in 18 of the 20 subsectors analyzed, being of especial interest the subsectors like Primary Metals and Petroleum and Coal Products, which have a larger lead and correlation. Conclusions of our work show that the manufacturing sector can be effectively described using the MCI, providing managers and decision makers with a novel perspective of the upcoming manufacturing scenario.&lt;/Abstract>
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