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Multi-task transportation scheduling model with backhauls based on hub and spoke in collaborative logistics network

  • Xiaofeng XuEmail author
  • Yuping Sun
  • Jue Wang
Original Research
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Abstract

Hub and spoke collaborative logistics network has recently received considerable attention in terms of resource scheduling problem. In view of that problem such as low scale merit, inefficient resource utilization and conflict of interest between the operator and customer in the process of network operation, the paper seeks to formulate the scheduling strategy for multiple logistics tasks oriented to multi-origin and multi-destination on the basis of multiple-allocation-hybrid H&S collaborative network (including two layers). Taking the backhaul resource, resource departure time, capability limitation, task delay penalty, etc. into account, the aim of the problem is to minimize both total cost and total time for the task set. According to the characteristics of the problem, the immune genetic algorithm based on three-layer encoding mechanism is designed to solve the model. Moreover, the models and algorithms are validated by extensive results of numerical examples.

Keywords

Hub and spoke network Collaborative logistics Backhauls Logistics service integrator Immune genetic algorithm 
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Notes

Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities, China (Grant no. 17CX04023B).

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Copyright information

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

Authors and Affiliations

  1. 1.School of Economic ManagementChina University of PetroleumQingdaoChina
  2. 2.Academy of Mathematics and Systems Science, Chinese Academy of SciencesBeijingChina

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