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A benders decomposition approach for carrier collaborative planning with less than truckload transportation

Abstract : In collaborative logistics, multiple carriers form an alliance to optimise their transportation operations through sharing transportation tasks and vehicle capacities. We study a carrier collaborative planning problem with less than truckload transportation, where each capacitated vehicle may deliver multiple products from multiple origins to multiple destinations. Based on a mixed integer programming model, a benders decomposition approach which combines Pareto-optimal cuts and minimal infeasible subsystems cuts is proposed for the problem. From the solution of the model, a set of feasible vehicle tours can be constructed. Ninety randomly generated instances demonstrate the effectiveness of our benders decomposition approach.
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https://hal-utt.archives-ouvertes.fr/hal-02473205
Contributor : Daniel Gavrysiak <>
Submitted on : Monday, February 10, 2020 - 3:50:32 PM
Last modification on : Tuesday, February 11, 2020 - 1:50:37 AM

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Bo Dai, Haoxun Chen. A benders decomposition approach for carrier collaborative planning with less than truckload transportation. International Journal of Modelling in Operations Management, 2012, 2 (3), pp.242. ⟨10.1504/IJMOM.2012.047946⟩. ⟨hal-02473205⟩

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