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Abstract
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Article Information:
Container Logistic Transport Planning Model
Xin Zhang and Xiao-Min Shi
Corresponding Author: Xin Zhang
Submitted: September 13, 2012
Accepted: October 19, 2012
Published: May 20, 2013 |
Abstract:
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The study proposed a stochastic method of container logistic transport in order to solve the unreasonable transportation’s problem and overcome the traditional models’ two shortcomings. Container transport has rapidly developed into a modern means of transportation because of their significant advantages. With the development, it also exacerbated the flaws of transport in the original. One of the most important problems was that the invalid transport had not still reduced due to the congenital imbalances of transportation. Container transport exacerbated the invalid transport for the empty containers. To solve the problem, people made many efforts, but they did not make much progress. There had two theoretical flaws by analyzing the previous management methods in container transport. The first one was the default empty containers inevitability. The second one was that they did not overall consider how to solve the problem of empty containers allocation. In order to solve the unreasonable transportation’s problem and overcome the traditional models’ two shortcomings, the study re-built the container transport planning model-gravity model. It gave the general algorithm and has analyzed the final result of model.
Key words: Algorithms and analysis, container transport, gravity model, , , ,
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Cite this Reference:
Xin Zhang and Xiao-Min Shi, . Container Logistic Transport Planning Model. Research Journal of Applied Sciences, Engineering and Technology, (21): 5034-5038.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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