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dc.contributor.authorLedvina, Kirby
dc.contributor.authorQin, Hanzhang
dc.contributor.authorSimchi-Levi, David
dc.contributor.authorWei, Yehua
dc.date.accessioned2023-03-21T16:47:10Z
dc.date.available2023-03-21T16:47:10Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/148649
dc.description.abstract<jats:p> Motivated by logistical problems faced by a large supply chain software company, the paper, “A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility,” studies a vehicle routing problem where some routes are allowed to overlap. The paper proposes a class of simple and effective strategies to design overlapped routes with customer sharing, which combines ideas from the process flexibility in manufacturing and traditional vehicle routing literatures. Through theoretical analysis and numerical simulations, the paper illustrates the advantage of an overlapped routing strategy with a small amount of customer overlaps. In particular, it shows that such a strategy can provide consistent route assignments to drivers, while achieving a similar expected travel distance as the theoretical benchmark in the fully reoptimized setting. The strategy is in contrast to the traditional fixed routing strategy, which provides consistent route assignments to drivers, but incurs a much higher expected travel distance. </jats:p>en_US
dc.language.isoen
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)en_US
dc.relation.isversionof10.1287/OPRE.2022.2304en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSSRNen_US
dc.titleA New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibilityen_US
dc.typeArticleen_US
dc.identifier.citationLedvina, Kirby, Qin, Hanzhang, Simchi-Levi, David and Wei, Yehua. 2022. "A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility." Operations Research, 70 (5).
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.relation.journalOperations Researchen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-03-21T16:42:27Z
dspace.orderedauthorsLedvina, K; Qin, H; Simchi-Levi, D; Wei, Yen_US
dspace.date.submission2023-03-21T16:42:29Z
mit.journal.volume70en_US
mit.journal.issue5en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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