CORRELATION ANALYSIS OF CONTAINER MAINTENANCE OF THE OPTIMAL LOGISTICS NODEXES OF THE BELT AND ROAD RAILWAY SYSTEM BASED ON THE FP_GROWTH ALGORITHM

Authors

  • H. Y. YIN

DOI:

https://doi.org/10.52292/j.laar.2018.235

Keywords:

The Belt and Road Railway System, optimal logistics node, principal component, FP_growth network

Abstract

Concerning the limit of logistics node expansion in the current the Belt and Road Railway System to macroscopic and qualitative description, this paper analyzes the problem of the optimal logistics node selection of The Belt and Road Railway System. This paper puts forward the Belt and Road Railway System logistics node center site Container Maintenance model based on the principal component and the FP_growth network, analyzes the optimal railway system logistics node center location, and adopts expansion of the practical the Belt and Road Railway System as an example to conduct simulation analysis of the model algorithm. Results suggest that the model algorithm put forward in this paper can efficiently confirm the optimal railway system logistics node center location, match logistics nodes for practical demands in accordance with the hierarchical structure of logistics nodes and find the optimal logistics center, distribution center and freight transfer center. This paper summarizes researches about expansion of logistics nodes of The Belt and Road Railway System, and successfully analyzes the expansion of the optimal logistics nodes of The Belt and Road Railway System through the hierarchical structure of the practical logistics nodes of The Belt and Road Railway System and combining cluster results of the FP growth network and the comprehensive rating obtained through the principal component. The simulation analysis results of this paper can efficiently find out the optimal railway system logistics node center location, and provide a new analysis perspective for the academic study on the center Container Maintenance for the expansion of relevant logistics nodes of The Belt and Road Railway System.

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Published

2018-10-31

Issue

Section

Control and Information Processing