Lin Wang, Wenzhuo Liang, Yunxian Hou

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College of Economics and Management, China Agriculture University, Beijing, China.
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Abstract: Once the disaster occurred, a huge amount of grain supply is needed from disaster area. Because of the short shelf life, grain is very strict with reserve environment and needed to rotate on a regular basis in the process of reserves. Considering the limitations of existing related research, this paper presented a facility location model for grain emergency network that incorporates inventory factors and rotation mechanism, and then designed genetic algorithm based on Matlab to solve the model. Finally we verified the feasibility and effectiveness of the algorithm by computational examples and presented the directions for future work.

Keywords: Location-Inventory, Grain Emergency Network, Genetic Algorithm

Cite this paper: Wang, L. , Liang, W. and Hou, Y. (2014) Research on Location-Inventory Model in Grain Emergency Network. Journal of Computer and Communications, 2, 52-58. doi: 10.4236/jcc.2014.214005.

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