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dc.contributor.advisorRandolph Kirchain.en_US
dc.contributor.authorBhuwalka, Karan.en_US
dc.contributor.otherMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-06-17T17:21:20Z
dc.date.available2021-06-17T17:21:20Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/131008
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 63-69).en_US
dc.description.abstractModern automobiles are composed of more than 2000 different compounds comprising at least 76 different elements. Identifying supply risks across this range of materials is important to ensure a smooth transition to renewable-energy based transportation technologies. This thesis provides insight into how electrification of vehicles is changing their material composition and how that change drives supply risk vulnerability. To make these contributions, we analyze part-level data of material use for seven current year models, ranging from internal combustion engine vehicles (ICEVs) to plug-in hybrid vehicles (PHEVs). The dataset is one of the most detailed ones analyzed in academic literature with almost 360,000 records of material composition of parts. We provide a comprehensive, high resolution (elemental and compound level) snapshot of materials use in both conventional and hybrid electric vehicles. We propose and apply a metric of vulnerability and find that the vulnerability to supply risks doubles as fleets shift from conventional to hybrid. We analyze three socio-political risks in the materials supply chain that are of concern to manufacturers and policymakers: a) the risk of supply concentration, b) the risk of conflict in the supply chain and c) the risk of modern slavery in the supply chain. We find that the prevalence of all these risks increases as fleets electrify. The fact that both the cost of supply chain disruptions (vulnerability) as well as the likelihood of disruptions (supply risk) increases is concerning for manufacturers and policymakers. Stakeholders should identify strategies to minimize risks in the supply chain such as material substitution, supply chain diversification and responsible sourcing of materials.en_US
dc.description.statementofresponsibilityby Karan Bhuwalka.en_US
dc.format.extent69 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectTechnology and Policy Program.en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleAssessing socio-economic risks in the supply chain of materials required for vehicle electrificationen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentTechnology and Policy Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc1256450508en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Programen_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-06-17T17:21:20Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentTPPen_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US
mit.thesis.departmentEECSen_US


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