Abstract
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.
Highlights
The nodes in the supply chain of timber products include forestry enterprises, timber processing enterprises, furniture enterprises, timber distribution enterprises, etc
This paper mainly studies the characteristics of the transportation network, which is composed of the timber trading markets
The main methods of the logistics center location and the application research results of complex network method in location selection are compared with the previous research methods, which are shown in Table 14 below: Table 14
Summary
The nodes in the supply chain of timber products include forestry enterprises, timber processing enterprises, furniture enterprises, timber distribution enterprises, etc. Zhang et al (2017) [4] proposed a rural logistics center location model based on the theory of intuitionistic fuzzy TOPSIS. Yang et al (2015) [16] proposed the support vector machine, which can promote generalization through structural risk minimization, solving practical problems, such as small sample data sets, nonlinearity, high dimensions and local minima, which play significant roles in evaluating the ability of a military logistics distribution center. Sarrazin et al (2019) [24] proposed a profit maximization model that considers the interaction between forest logistics centers and complex forest networks and reduces sorting and transportation costs. This paper mainly studies the characteristics of the transportation network, which is composed of the timber trading markets On this basis, a reasonable method for determining the location and grade setting of the timber logistics center is proposed, which is based on the transportation capacity and freight volume indicator. The research object is an alternative logistics center composed of 47 timber trading markets with a certain scale in China
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