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Academic Journal of Business & Management, 2023, 5(20); doi: 10.25236/AJBM.2023.052015.

Optimization of Source Organization Based on Gravity Model -- Taking Chengdu Europe Express Railway Goods as an Example

Author(s)

Jia Chen, Yao Xiong

Corresponding Author:
Jia Chen
Affiliation(s)

Southwest Jiaotong University Hope College, Chengdu, China

Abstract

China's unique geographical location allows for a trade model that combines land and sea. Among them, western China is a strategic hinterland that can balance the development of land and sea power trade domestically, and can utilize the Chengdu Europe express railway to develop the transportation industry in western China. However, there are many problems in the operation of the Chengdu Europe Express Railway, such as chaotic supply organization and fierce competition among supply organizations. In this paper, the grey prediction model is used to predict the freight volume of the Chengdu Europe Express Railway, and the necessity of optimizing the freight source organization of the Chengdu Europe Express Railway is obtained. The fuzzy cluster analysis method is used to select alternative distribution centers for 20 cities and states in Sichuan (except Chengdu), and the principal component analysis method and Gravity model are used to obtain the establishment plan of the distribution center of the freight source, so as to design a freight source organization plan with a more development trend of the Chengdu Europe Express Railway.

Keywords

Chengdu Europe Express Railway; Source organization; Fuzzy clustering analysis; Principal component analysis; Gravity model

Cite This Paper

Jia Chen, Yao Xiong. Optimization of Source Organization Based on Gravity Model -- Taking Chengdu Europe Express Railway Goods as an Example. Academic Journal of Business & Management (2023) Vol. 5, Issue 20: 109-118. https://doi.org/10.25236/AJBM.2023.052015.

References

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[3] Li Qian. Research on Optimizing the Layout of Logistics Node Cities in the Beijing Tianjin Hebei Region [D]. North China Electric Power University, 2019.