Zhao, Y, Liu, R orcid.org/0000-0003-0627-3184, Zhang, X et al. (1 more author) (2018) A chance-constrained stochastic approach to intermodal container routing problems. PLoS ONE, 13 (2). e0192275. ISSN 1932-6203
Abstract
We consider a container routing problem with stochastic time variables in a sea-rail intermodal transportation system. The problem is formulated as a binary integer chance-constrained programming model including stochastic travel times and stochastic transfer time, with the objective of minimising the expected total cost. Two chance constraints are proposed to ensure that the container service satisfies ship fulfilment and cargo on-time delivery with pre-specified probabilities. A hybrid heuristic algorithm is employed to solve the binary integer chance-constrained programming model. Two case studies are conducted to demonstrate the feasibility of the proposed model and to analyse the impact of stochastic variables and chance-constraints on the optimal solution and total cost.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
Keywords: | Container routing; sea-rail; Intermodal transportation; Stochastic time variables; Chance constrained programming |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Railway Safety & Standards Board T1071-02 |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Feb 2018 16:42 |
Last Modified: | 25 Jun 2023 21:13 |
Status: | Published |
Publisher: | Public Library of Science (PLoS) |
Identification Number: | 10.1371/journal.pone.0192275 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126825 |