Route optimization model in collaborative logistics network for mixed transportation problem considered cost discount based on GATS

Original Research
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Abstract

A mixed transportation problem with centralized and decentralized transportation is proposed in collaborative logistics network. All tasks can be centralized to transport for once, twice or transported directly to destination node. A route optimization programming model to minimize the total costs is proposed in consideration of cost discount, road section capacity, overload penalty, advance delivery cost and hard time window. The hybrid genetic tabu search algorithm is presented to solve the model. To test the feasibility and validity of proposed model and hybrid algorithm, a simulation example is presented and solved. The optimal solution of experiment shows that the hybrid algorithm can obtain better solution, better convergence speed and high calculation efficiency.

Keywords

Collaborative logistics network Cost discount Road section capacity GATS 

Notes

Acknowledgements

This work was supported by the humanities and social science research project of Shandong Universities (J17RB103). And it also was supported by the Fundamental Research Funds for the Central Universities (18CX04004B).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Economics and ManagementChina University of PetroleumQingdaoChina
  2. 2.Institutes of Science and DevelopmentChinese Academy of SciencesBeijingChina

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