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Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty

  • Xiaofeng XuEmail author
  • Jing Liu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 650)

Abstract

Making an allocation scheme which can achieve the optimal overall efficiency that matching multiple logistics tasks and resources under the environment that the tasks’ demands are uncertain is difficult. In this paper, we build a mathematical model to describe the problem and try to solve it by the genetic algorithm. We also consider the daily usage amount of each resource should be as equilibrious as possible. The result of the case simulation proves the effectiveness of the model and the algorithm. As well as, we analyze the impact that the size of the uncertainty’s degree on the allocation result.

Keywords

Resource allocation Uncertainty Resource equalization Genetic algorithm 

Notes

Acknowledgements

This research was supported by Shandong Provincial Natural Science Foundation, China (Grant No. ZR2015GQ006), and the Fundamental Research Funds for the Central Universities, China (Grant No. 17CX04023B).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.China University of PetroleumQingdaoChina

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