Research on Coal Transportation Network Optimization

Author(s):  
Liu Shuo ◽  
Chen Xinglong ◽  
Guo Xiaopeng
2014 ◽  
Vol 945-949 ◽  
pp. 3126-3129 ◽  
Author(s):  
Jie Chen

The primary goal of this paper is to save logistics cost and reach optimizing configuration of import crude oil transportation network. An optimization model is put forward with an objective function of minimum logistics expense. It is carried out by Genetic Algorithm (GA) and MATLAB with original data of 2012 and predicted data of 2017. Results indicate that large VLCC of 260000-320000 tons is the main tanker type in import crude oil transportation network. And crude oil logistics bases will be formed which are represented by Qingdao, Dalian, Tianjin, Ningbo-Zhoushan, Zhanjiang and Huizhou in coastal areas.


2014 ◽  
Vol 919-921 ◽  
pp. 1128-1133 ◽  
Author(s):  
Jin Suo Qiao ◽  
Xi Fu Wang ◽  
Xi Sheng Shen ◽  
Liang Shi

Based on the essential characteristics of coal transportation network, the paper analyzed uncertainties of coal transportation network in 3 aspects ,structural uncertainty, time uncertainty and transport capacity uncertainty. It built a state equation of coal transportation network with the above three kinds of uncertainty, and established a robust control model of coal transportation network, to realize equilibrium and stability of coal flow in the coal transportation network. Finally, take Shanxi coal transportation network for example, to verify the accuracy and effectiveness of the coal transportation network robust control methods in the paper.


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