International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 2, No. 1, 8 Nov. 2010
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Research on Association with Freight Transit Period and Forwarding Time base on Logistics conditions
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Author(s)
CHANGFENG. ZHU
1,*
QINGRONG. WANG
1
Index Terms
Forwarding time, Transit Period, logistics, Probability distribution, Statistical analysis
Abstract
The whole process of freight forwarding includes multiple links. The consumption time of every link and its operational efficiency may affect the entire freight forwarding time, which can influence the transit period of freight, as well as the formulation and achievement of the transportation organizations scheme and the transportation contract. In order to analyze the existed problems in present calculation method of railway transit period, and the effects of logistics on forwarding time, on the basis of investigating and literature, Railway freight forwarding process and factor of logistics on railway freight forwarding time were analyzed, and average speed of through train, ordinary through train and high-speed train, and daily average running tariff kilometer and time were analyzed, and statistical results were exained by adopting 2χtesting method, finally, daily average running tariff kilometer and time of logistics developed and under-developed area were comparative analyzed, from which daily average running tariff kilometer and time were obtained. The analytical results show that the average speed, daily average running tariff kilometer and time respectively obeys normal distribution, the maximum difference value between the transit period calculated by present method and the practical forwarding time of freight is four 4.5 days, which show that the method can not objectively responds the freight forwarding time of each kind of freight transport product under logistics condition.
Cite This Paper
CHANGFENG. ZHU, QINGRONG. WANG,"Research on Association with Freight Transit Period and Forwarding Time base on Logistics conditions", International Journal of Intelligent Systems and Applications(IJISA), vol.2, no.1, pp.51-58, 2010. DOI: 10.5815/ijisa.2010.01.08
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