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Research On Supply Chain Network Model And Risk Transmission Based On Complex Network Theory

Posted on:2017-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:X Q LiuFull Text:PDF
GTID:2359330518470516Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the development of economic globalization and the "Internet+" concept, the relationship between enterprises on the supply chain network is becoming more and more closely. It has important significance to eliminate the "bullwhip effect" and improve the supply chain overall income level. But it also makes the spread of risk in the supply chain network more rapidly. The emergence of more and more Multi-National Corporation and the business between enterprises is not limited by geographical restrictions, making the supply chain network structure is becoming increasingly complex, the requirements for risk control are also getting higher and higher. Research on the issue of risk communication in the supply chain network has become a research hotspot in the field of supply chain management.Complex network theory was born in the field of mathematics, has been more perfect.The application of complex network theory in the field of supply chain management is still in its infancy. Based on this, this paper introduces the complex network theory into the field of supply chain risk management, and builds a model of supply chain network, and the simulation results show that it is consistent with the characteristics of the supply chain network which is reflected by the research of the supply chain network in the literature. In addition, this paper define the rules of risk propagation in the network, and carries out the risk propagation simulation in the supply chain network model,and explores the mechanism of risk communication in the supply chain network. The main contents of this paper are as follows:(1) Firstly, introduce the complex network theory and the classical model of virus transmission. On this basis, based on the BA scale free network, this paper proposes the generation rules of the supply chain network model and the steps to build the network model.With the local coefficient as the key parameter, the supply chain network model is built, and the statistical characteristics of the supply chain network model are analyzed. It is proved that the supply chain network model constructed in this paper is consistent with the reality of the supply chain network. In the simulation, the network model can be used to replace the real network.(2) Secondly, on the basis of the classical virus transmission model, and combined with the actual characteristics of the risk communication in the supply chain network, maked the rule of risk propagation in supply chain network is established. The nodes in the network model are divided into three categories,which describe the rules of inter node transformation,and construct the model of supply chain network risk propagation. In the model of supply chain network, the risk propagation model is simulated. Study the risk propagation velocity and the range of risk propagation with different parameters in the model. Simulation and analysis of the most important parameters-local coefficient, study the influence of the local coefficient on the range of risk propagation, the speed of risk propagation and the proportion of each type of nodes in the network. And the risk propagation of the supply chain network model is simulated under different warning methods.(3) Thirdly, on the basis of exploring the mechanism of risk communication in the supply chain network, this paper puts forward the risk prevention strategy in supply chain network.Proposed countermeasures from the macro level and micro aspect. The macro level measures are focused on improving the network structure and so on from system perspective. The micro level is mainly from the perspective of the enterprise, and puts forward the countermeasures to prevent risks.
Keywords/Search Tags:Complex network, Supply chain network model, Risk propagation model, Local coefficient
PDF Full Text Request
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