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dc.contributor.advisorDaniel W. Steeneck.en_US
dc.contributor.authorChittella, Sriram Kishoreen_US
dc.contributor.authorMachado Teixeira, Marcosen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2015-11-09T19:50:11Z
dc.date.available2015-11-09T19:50:11Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/99808
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 78-79).en_US
dc.description.abstractNon-asset backed third-party logistics companies provide shippers access to a flexible source of capacity through transportation carrier spot market. The increased volatility in the trucking spot market rates is turning the 3PL businesses more risky and complex. To maximize profitability, a better understanding of the risk and the volatility patterns across the different geographies, time periods and other factors are investigated based on three years of real spot market data from a major 3PL company in US. Throughout this research we investigate the nature of trucking spot market volatility to allow truckload service providers to reduce their risk when setting long-term contracts. Using three different measures of volatility we are able to assess the company's risk profile and arise with insights to improve truckload service providers' business.en_US
dc.description.statementofresponsibilityby Sriram Kishore Chittella and Marcos Machado Teixeira.en_US
dc.format.extent85 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.titleData-driven risk assessment for truckload service providersen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc927170106en_US


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