Research on Location Optimization of Logistics Center Based on Center of Gravity Method: A Case Study of Jilin Province

Chenghang Su

doi:10.54097/91yw0807

Authors

Chenghang Su

DOI:

https://doi.org/10.54097/91yw0807

Keywords:

Grain Logistics; Regression Analysis; Moving Average Method; Center of Gravity Method; Site Selection Optimization.

Abstract

With the rapid development of the global economy, logistics plays an increasingly important role in modern society. As the core node of the logistics system, logistics center is responsible for the distribution, transfer and distribution of goods. The scientific and rational location of the logistics center will directly affect the efficiency and cost of logistics transportation. In this paper, Jilin Province, a key agricultural producing area in China, is selected as the research object. By collecting certain historical data information, regression analysis method and moving average method are used to predict the grain output of each city, and the average value of the predicted values obtained by the two methods is used as the final forecast value. The initial site selection of grain logistics center in Jilin Province is calculated by using the center of gravity, and the new site selection after iteration is obtained by using the center of gravity. Finally, the location of the final grain logistics center is determined by considering the factors such as geographical location, traffic accessibility and usable area around. This study can provide some reference value for the optimization of logistics center location.

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