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Abstract:
Grain logistics is an important logistical support of national economic development. For a long time, grain logistics in China more use the way of package transport which is inefficient and wasteful. In recent years, China gradually began to carry out the transport way in four bulks mode around, and achieved some success. This paper combines the method of quantitative and qualitative and predict the amount of bulk grain logistics through waterway in Fujian next two years. Based on the multiple indicator selection, the paper establishes BP neural network prediction model and use MATLAB for quantify achieve. Comparison with the results, the paper could provide some useful advises for future four bulks mode engineering.
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Source :
5th International Conference on Logistics and Supply Chain Management 2015
Year: 2015
Page: 19-25
Language: English
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SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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