Research on the Optimized Dispatch and Transportation Scheme for Emergency Logistics | Zendy

Hongman Wang | Zendy; Renfei Xu | Zendy; Zijie Xiong | Zendy; Xiaoguang Zhou | Zendy; Qihua Wang | Zendy; Qi Duan | Zendy; Xiaochong Bu | Zendy

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Research on the Optimized Dispatch and Transportation Scheme for Emergency Logistics

Author(s) -

Hongman Wang,

Renfei Xu,

Zijie Xiong,

Xiaoguang Zhou,

Qihua Wang,

Qi Duan,

Xiaochong Bu

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.03.043

Subject(s) - computer science , correctness , transportation theory , ant colony optimization algorithms , decomposition , shortest path problem , key (lock) , ideal point , mathematical optimization , scheme (mathematics) , benders' decomposition , dimension (graph theory) , operations research , ideal (ethics) , algorithm , graph , mathematics , mathematical analysis , geometry , computer security , theoretical computer science , biology , philosophy , epistemology , pure mathematics , ecology

Reasonable dispatch and transportation of emergency material is one of the key problems of emergency logistics. In this paper, emergency material dispatch and transportation problem is studied, and the two-dimensional, the material dispatching and the material transportation, and multi-objective, achieving the shortest time and the shortest cost, optimization model is put forward for the first time. The method of rescue point decomposition is used to reduce the dimension of the model. After comparing the ideal points algorithm with ant colony algorithm, the ideal points algorithm is chosen to solve the problem. Moreover, the simulation experiment is done to verify the rationality of the model and the correctness of the algorithm, thus emergency material dispatch and transportation problem is solved.

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