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Simulation Research On The Stability Of Different Logistics Networks

Posted on:2016-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:Q H XuFull Text:PDF
GTID:2309330470954041Subject:Management science and engineering
Abstract/Summary:PDF Full Text Request
Logistics becomes "the third profit source" in the economic environment that national economy develop rapidly and international competition fierce increasingly. Logistics activities forms a large and complex network if abstract the main as node, relationship between the main as side. The independently operated companies in logistics networks have the characteristics of network, the accessible of network and the conversion of nodes lead to the complexity of network. The function of logistics depends on logistics networks, rather than simply warehousing and transshipment. Logistics network is the carrier of logistics activities, It is beneficial to the development of logistics when we study and establish stable logistics networks based on the theory of complex networks.This paper reviews the theory and research on complex networks and logistics networks, then it classifies the stability of logistics networks as the stability of structure and functions and use the net diameter, the average path length, maximum connectivity and the rate of solitary point as the evaluation index of the stability of networks. It establishes four typical logistics networks models and simulates the change of index about stability after random and selective attack in Pajek. We can find that the effect on stability of logistics networks base on elective attack is more obvious than random attack when it compares the stability index of the networks before and after the attack.Finally, the paper establishes the distribution network of STO in Yunnan and analyze its stability before and after attacked in Pajek. Data analysis revealed that random attack does not affect the stability of network, but selective attack will cause the paralysis of entire distribution network.
Keywords/Search Tags:complex networks, logistics networks, stability
PDF Full Text Request
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