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dc.contributor.advisorBruce C. Arntzen.en_US
dc.contributor.authorBuscher, Stephanie Annen_US
dc.contributor.authorPoyato Ayuso, Ángelen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2015-11-09T19:50:07Z
dc.date.available2015-11-09T19:50:07Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/99807
dc.descriptionThesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 50-52).en_US
dc.description.abstractNatural disasters such as the earthquake and subsequent tsunami that hit Japan in 2011 can have catastrophic effects on businesses. This type of unexpected event can cause millions of dollars in damages, lost sales and can impact company stock performance. With 39% of supply disruptions occurring at indirect suppliers, companies can no longer ignore their supply networks when determining supply chain risk. Unlike measuring risk within a single company, measuring the risk of a network requires collaboration amongst all players. This research aims to mitigate the complexity of data collection through the understanding of the factors that influence supply chain risk data collection. Factors vary throughout different players in the networks. Internally, supply chain transparency must be indoctrinated in the culture of the executing company. Necessary parties must be well informed and incentivized to take part in this labor intensive exercise. By indoctrinating transparency into the culture, companies legitimize this initiative to both employees and suppliers. Through a series of conversations held with suppliers, the research conducted in this thesis identifies the internal and external factors that determine success in supply chain risk data collection. Keywords: Supply chain risk management, supply chain transparency, data collection, vendor collaboration.en_US
dc.description.statementofresponsibilityby Stephanie Ann Buscher and Angel Poyato Ayuso.en_US
dc.format.extent52 pagesen_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.titleFactors influencing tier 2 supply chain risk data collectionen_US
dc.title.alternativeFactors influencing tier two supply chain risk data collectionen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc927169283en_US


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