Abstract
In this paper, we first analyze the evolution of the logistics distribution network gradually from the simple to the complex, mainly based on distribution network and a typical third party logistics enterprise, establishing the relationship among nodes in the network. Calculating logistics distribution network node degree distribution by using MATLAB program, our computational results show that the node degree distribution of power law index meets the characteristics of scale-free network. Based on this feature, we establish model of the distribution of node formation and the client node distribution in the network.
Highlights
The logistics distribution system is a dynamic non-linear system, including multiple actor, multi-level, multifunction, and multi-target characteristics, subjecting to many random factors
Logistics distribution network has the characteristics of temporal and spatial complexity, it is a complex and large system which is related to our life, work, social and economic environment
Our research would provide a index to understand the evolution of logistics distribution network operating rules and the internal mechanism, contributing an effective theoretical way of logistics issues
Summary
The logistics distribution system is a dynamic non-linear system, including multiple actor, multi-level, multifunction, and multi-target characteristics, subjecting to many random factors. There is a theoretical and practical significance in distribution networks based on the theory of complex systems. Logistics distribution network has the characteristics of temporal and spatial complexity, it is a complex and large system which is related to our life, work, social and economic environment. Application of complex network theory, analyzing theoretically scale-free network characteristics logistics distribution network, is the key to study logistics and distribution network, which is one of the basic theoretical problems of logistics and. (2014) Analysis for Scale-Free Network Characteristics of Logistics Distribution Network. Our research would provide a index to understand the evolution of logistics distribution network operating rules and the internal mechanism, contributing an effective theoretical way of logistics issues
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