A chance-constrained stochastic approach to intermodal container routing problems

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 t...

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Vydáno v:PloS one Ročník 13; číslo 2; s. e0192275
Hlavní autoři: Zhao, Yi, Liu, Ronghui, Zhang, Xi, Whiteing, Anthony
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 13.02.2018
Public Library of Science (PLoS)
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ISSN:1932-6203, 1932-6203
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Shrnutí: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.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0192275