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dc.contributor.authorMoshref-Javadi, Mohammad
dc.contributor.authorVan Cauwenberghe, Kristof P.
dc.contributor.authorMcCunney, Brent A.
dc.contributor.authorHemmati, Ahmad
dc.date.accessioned2023-05-16T11:51:27Z
dc.date.available2023-05-16T11:51:27Z
dc.date.issued2023-05-08
dc.identifier.urihttps://hdl.handle.net/1721.1/150725
dc.description.abstractAbstract We study a hybrid logistics delivery model which incorporates trucks and drones. In this model, named the Drone Resupply Model with Transshipment Points (DRMTP), drones are used to resupply transshipment points where trucks visit to pick up packages for delivery to customers. A simulation model is developed to simulate the delivery operations. The model is evaluated in two case studies in an urban area and a suburban area in Massachusetts, USA. Using this resupply model, the average delivery time is reduced compared to the conventional truck-only delivery model. The experimental results in the suburban region show that the DRMTP model with one transshipment point achieves 36% lower delivery time compared to the truck-only model. In the urban region, the model with four transshipment points obtains 66% delivery time reduction compared to the truck-only model. The results indicate that the proposed model can be used to enhance the efficiency of the last-mile delivery operations.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1007/s10287-023-00453-3en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer Berlin Heidelbergen_US
dc.titleEnabling same-day delivery using a drone resupply model with transshipment pointsen_US
dc.typeArticleen_US
dc.identifier.citationComputational Management Science. 2023 May 08;20(1):22en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Transportation & Logistics
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-05-14T03:11:50Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.embargo.termsN
dspace.date.submission2023-05-14T03:11:50Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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