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

Bo Dai and Haoxun Chen ()
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Bo Dai: LOSI - Laboratoire d'Optimisation des Systèmes Industriels - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique, Shanghai Jiao Tong University [Shanghai]
Haoxun Chen: LOSI - Laboratoire d'Optimisation des Systèmes Industriels - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique

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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.

Date: 2012
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Published in International Journal of Modelling in Operations Management, 2012, 2 (3), pp.242. ⟨10.1504/IJMOM.2012.047946⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02473205

DOI: 10.1504/IJMOM.2012.047946

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