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    Synchromodal transportation planning using travel time information

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    Publication type
    Journal article with impact factor
    Author
    Yee, Hannah
    Gijsbrechts, Joren
    Boute, Robert
    Publication Year
    2021
    Journal
    Computers in Industry
    Publication Volume
    125
    Publication Issue
    February
    
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    Abstract
    Synchromodal 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.
    Keyword
    Synchromodality, Physical Internet, Stochastic Travel Times, Adaptive Decision-making, Markov Decision Process, Real-time Information
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1016/j.compind.2020.103367
    URI
    http://hdl.handle.net/20.500.12127/6601
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.compind.2020.103367
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