Liang Xue

Dr. Liang Xue

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 February 2020 in Information
Verified
Journal Article
Open access
PDF file
LXLiang Xue
Liang Xue
XHXin Huang
Xin Huang
YWYuchun Wu
Yuchun Wu
XYXingchen Yan
Xingchen Yan
YZYan Zheng
Yan Zheng
The location and grade setting of a timber logistics center is an important link in the optimization of the timber logistics system, the rationality of which can effectively improve the efficiency of the timber logistics supply chain. There is a long distance between the main forested areas in China, and more than 55% of the timber demand depends on imports. Research and practice of systematically planning timber logistics centers in the whole country have not been well carried out, which reduces the efficiency of timber logistics. In this paper, 47 timber trading markets with a certain scale in China are selected as the basis for logistics center selection. Based on their transportation network relationship and the number of enterprises in the market, combined with the complex network theory and data analysis method, the network characteristics of three different transportation networks are measured. After determining the transportation capacity indicator, the logistics capacity coefficient is measured based on the freight volume of each node. Then, the important nodes are identified, and each node is graded to systematically set up the timber logistics center.

9 September 2010
Verified
Conference Paper
Closed access
LXLiang Xue
Liang Xue
According to the factors that impact the site selection of distribution center, and building a model for the site selection of distribution center, analyzed the current situation of the logistics in Nanjing and inferred that distribution center in Nanjing should be further increased. Meanwhile, this paper proposed the thinking of genetic algorithm to solve the problems of the site selection for logistics distribution center. The conclusion shows that, genetic algorithm can solve the problems of location of the logistics distribution center effectively.