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dc.contributor.advisorJacquillat, Alexandre
dc.contributor.authorAlam, Muhammad Ashhad
dc.date.accessioned2024-10-09T18:27:14Z
dc.date.available2024-10-09T18:27:14Z
dc.date.issued2024-09
dc.date.submitted2024-10-07T14:34:40.736Z
dc.identifier.urihttps://hdl.handle.net/1721.1/157190
dc.description.abstractThe transportation sector in the US contributes to about a third of all greenhouse gas emissions, about a quarter of which stems from road freight. A major driver of this environmental footprint remains a heavy reliance on trucking—the least fuel-efficient mode of transportation. A key pathway toward freight decarbonization, therefore, involves shifting from internal combustion engines (ICE) to electric powertrains in truck fleets. This work develops analytics-based solutions to support and assess the electrification of long-haul logistics operations, by applying the methods to PepsiCo’s operations in Texas.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleBuilding a Scalable Electrification Infrastructure in Logistics
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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