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dc.contributor.advisorDavid Simchi-Levi.en_US
dc.contributor.authorBustos, Felipe (Felipe Antonio Bustos Sánchez)en_US
dc.contributor.authorBarraza, Fernando Andres.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2012-05-21T17:27:26Z
dc.date.available2012-05-21T17:27:26Z
dc.date.copyright2011en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/70894
dc.descriptionThesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, February 2012.en_US
dc.description"February, 2012." Cataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 73).en_US
dc.description.abstractThe 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.en_US
dc.description.statementofresponsibilityFelipe Bustos and Fernando Barraza.en_US
dc.format.extent175 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleCharacterizing manufacturing activity in the United States of America : composite index of leading indicatorsen_US
dc.typeThesisen_US
dc.description.degreeS.M.in Engineering and Managementen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc793104158en_US


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