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dc.contributor.advisorMatthias Winkenbach.en_US
dc.contributor.authorLavenir, Xavier Paul Lister.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.date.accessioned2020-09-25T20:28:29Z
dc.date.available2020-09-25T20:28:29Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127736
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 103-107).en_US
dc.description.abstractWith the rise of the on-demand economy and the increasingly high service levels expected by consumers, companies are racing to provide shorter and shorter delivery lead times for e-commerce orders. Two-day deliveries have become the norm in dense urban areas and companies are developing highly responsive urban distribution networks capable of serving consumers in lead times as low as one hour. These changing consumer shopping habits are leading to more fragmented deliveries and increased urban freight activity as it becomes more difficult to consolidate orders. Increased urban freight activity is in-turn leading to more congestion, greenhouse gas emissions, and air pollution, harming city residents. In this work, we explore the strategic design of highly responsive urban distribution networks, promising lead times of under two hours, and investigate which operational and environmental parameters drive the deployment of different types of network designs.en_US
dc.description.abstractWe explore how adding extra levels of network flexibility, with the ability to physically relocate fulfilment capacities throughout the day using mobile inventory locations, affects the commercial and environmental performance of a network. Furthermore, we evaluate the environmental footprint of these networks by measuring their contribution to congestion and CO₂ and NO[subscript x] emissions, and contrast these with the environmental footprint of next-day delivery distribution networks. From a policy perspective, we investigate how the strategic design and performance of highly responsive networks are affected by an urban congestion charge policy and by different levels of government subsidy for last-mile logistics infrastructure. We optimize the design of these highly responsive networks using an iterative simulation-optimization approach which captures the stochastic and dynamic nature of the last-mile operations.en_US
dc.description.abstractWe conduct a case study with a global fashion company, where we design highly responsive distribution networks capable of serving the company's online customers in Manhattan, New York, in under two hours. We find that highly responsive orders tend to be much less sustainable than orders delivered the next-day, with a higher delivery cost and environmental footprint. However, highly responsive networks can be sustainable if designed under favourable operational conditions, such as enabling the consolidation of orders and using sustainable couriers such as bicycles.en_US
dc.description.statementofresponsibilityby Xavier Paul Lister Lavenir.en_US
dc.format.extent123 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.titleThe strategic design and environmental footprint of highly responsive urban distribution networksen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_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. Engineering Systems Division
dc.identifier.oclc1196239162en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Societyen_US
dspace.imported2020-09-25T20:28:26Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US


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