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dc.contributor.authorYee, Hannah
dc.contributor.authorGijsbrechts, Joren
dc.contributor.authorBoute, Robert
dc.date.accessioned2020-12-04T08:10:53Z
dc.date.available2020-12-04T08:10:53Z
dc.date.issued2021en_US
dc.identifier.issn0166-3615
dc.identifier.doi10.1016/j.compind.2020.103367
dc.identifier.urihttp://hdl.handle.net/20.500.12127/6601
dc.description.abstractSynchromodal transportation planning is de ned by the possibility to re-route shipments to alternative transportation modes at intermediate terminals based on real-time information about the shipment in transit. We present a synchromodal decision support model to determine the optimal modal choice for a single shipment in a multimodal network that is characterized by stochastic travel times. The model is formulated as a Markov decision process and allows adaptations to the modal choice based on real-time information on the travel time. Our formulation trades of transportation and late delivery penalty costs, and captures the value of synchromodal planning. We demonstrate the use of our model in a numerical case study, where we evaluate synchromodal against static intermodal transportation planning. The latter does not allow real-time adjustments to the modal choice. Compared to intermodality, synchromodal planning has most value when the penalty for late delivery is high and transportation services are more frequent.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectSynchromodalityen_US
dc.subjectPhysical Interneten_US
dc.subjectStochastic Travel Timesen_US
dc.subjectAdaptive Decision-makingen_US
dc.subjectMarkov Decision Processen_US
dc.subjectReal-time Informationen_US
dc.titleSynchromodal transportation planning using travel time informationen_US
dc.identifier.journalComputers in Industryen_US
dc.source.volume125
dc.source.issueFebruary
dc.contributor.departmentFaculty of Economics and Business, KU Leuven, Belgiumen_US
dc.contributor.departmentCatholica Lisbon School of Business & Economics, Lisbonen_US
vlerick.knowledgedomainOperations & Supply Chain Managementen_US
vlerick.typearticleJournal article with impact factoren_US
vlerick.vlerickdepartmentTOMen_US
dc.identifier.vperid102358en_US


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