Abstract

Grey correlation analysis is used to measure the factors affecting tobacco development and find the vital factors. We found that the illegal cases and customer number are the most important factors. Then, by using the grey correlation method to different parts of tobacco enterprises make a horizontal contrast, found that tobacco in Yantai for several ranked the sixth in the tobacco enterprises. Based on double oriented product differentiation strategy, we build the competitiveness ascending method research model. Game analysis is used to analyze the relationship between local government and the tobacco industry. Lastly, use centre of gravity method to calculate the location of the distribution centre, with network planning method to design logistics distribution network.

Keywords:

Centre of gravity method, grey correlation analysis, network planning method, tobacco development,

References

1. Baoan, Y. and J. Hai, 2001. Commercial bank loans risk early warning system based on artificial neural network. Syst. Eng. Theor. Pract., 5: 70-74.
   
2. Chen, R. and W. Zhang, 2005. The research on the management of the subsidiary material to tobacco suppliers. J. Kunming Metall. Coll., 6: 62-65.
   
3. Dongyun, Y. and W. Weizhong, 2010. Study review on regional innovative efficiency. Technol. Econ., 29(10): 44-48.
   
4. Fucheng, W., 2011. Development situation and production requirement in tobacco. Jilin Agricult., 23(8): 104-104.
   
5. Gong, H., Y. Gong and L. Yuan, 2011. Evaluation on information sharing level between manufacturer and supplier based on BP neural network. J. Modern Info., 31(1): 40-43.
   
6. He, Y. and L. Xiang, 2004. Study and application of BP neural network model based on fuzzy clustering. Eng. Theor. Pract., 2: 79-82.
   
7. Jian, S., 2011. Consideration on the change of economic development mode in tobacco industry. China Mark., 17(12): 62-63.
   
8. Jinchang, L., W. Jilin and C. Guotai, 2008. The evaluation of economic development based on entropy AHP. Stat. Decis., 24(19): 70-72.
   
9. Junju, L., 2008. Consideration on the modern tobacco agriculture development. J. Hebei Agric. Develop., 20(9): 108-110.
   
10. Li, J., Y. Hu and X. Tao, 2005. Recognition method based on principal component analysis and back-propagation neural network. Infrared Laser Eng., 34(6): 719-723.
    
11. Liu, T., H.X. Tian and W. Guo, 2010. Application of PCA to diesel engine oil spectrometric analysis. Spectrosc. Spect. Anal., 3(30): 779-781.
    
12. Shuangying, W., 2009. Study review on innovation efficiency in high technology industry. China High Tech. Enterp., 15(8): 3-4.
    
13. Tang, W., 2005. The study of the optimal structure of BP nueral network. Eng. Theor. Pract., 10: 95-100.
    

Competing interests

The authors have no competing interests.

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The authors have no competing interests.