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Complex supply network robust performance analyzing method based on topological structure

A topology and analysis method technology, applied in data processing applications, special data processing applications, instruments, etc., can solve problems such as lack of in-depth analysis of structures, failure to consider the diversity of node roles, and ignore the locality of node selection ranges to achieve accurate The effect of robust performance

Inactive Publication Date: 2014-06-18
HUZHOU TEACHERS COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in most of the existing studies, due to the lack of in-depth analysis of the structure due to seldom starting from the structural characteristics of the supply chain, such as not considering the diversity of node roles, ignoring the locality of node selection range and the connection preference Too simple processing, most of the proposed structural models have a certain gap with the real supply chain system

Method used

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  • Complex supply network robust performance analyzing method based on topological structure
  • Complex supply network robust performance analyzing method based on topological structure

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Experimental program
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Effect test

Embodiment 1

[0058] Random failure within the enterprise: When a node in the supply chain has a severe random failure and causes the node to fail completely, the node can be considered to be removed from the network. Similar to scale-free networks, supply chains exhibit strong robustness to internal random failures. When 20% of the nodes are deleted, the supply chain model can still have high robust performance, R≈0.75, T≈0.5. With the increase of the number of deleted nodes, R and T show a gradually decreasing trend, and the number of deleted nodes has an approximately linear relationship with R and T. This situation occurs due to the existence of a large number of nodes with little connectivity in the supply chain. The deletion of these nodes has little impact on the connectivity of the network and the efficiency of the network. That is, the heterogeneity of the supply network connections leads to its strong robustness against internal random failures.

Embodiment 2

[0060] External random faults of the enterprise: The heterogeneity of connections between supply chain nodes not only leads to its high robustness to internal random faults, but also makes it more resistant to external random faults. When 80% of the connection edges are deleted, its robustness index can still have a high value, R≈0.85, T≈0.3. Compared with internal random faults, the reason why the supply chain shows higher robustness to external random faults is that there are certain redundant connections in the supply chain, and deleting these connections will not lead to less robust performance of the network. big change. However, R and T also have certain differences in external random faults, and the random deletion of connection edges has a greater impact on T. This is because although the random deletion of connection edges in the network has less impact on the connectivity of the network, it leads to a greater change in the efficiency of the network. The supply chai...

Embodiment 3

[0062] Artificial attacks on internal nodes: against attacks on internal nodes, the supply chain shows great vulnerability. Due to the heterogeneity of supply chain node connections. Making a very small number of nodes with high connectivity has an extremely important impact on network connectivity and network efficiency. When these nodes fail due to artificial attacks, the robustness of the supply chain drops sharply. When 15% of the nodes with high connectivity in the supply chain are deleted, the connectivity and efficiency of the supply chain drop to zero, R≈0, T≈0. This also explains from one aspect why in the actual supply chain, a few core enterprises play an irreplaceable role in the normal operation of the entire supply network. A human-made attack on a core enterprise can easily paralyze the entire supply chain.

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Abstract

The invention discloses a complex supply network robust performance analyzing method based on a topological structure. The method comprises the following steps: firstly providing a complex supply network topological structure model, and then applying the established model to perform the static robust performance analysis and dynamic robust performance analysis of a complex supply network, wherein the complex supply network topological structure model comprises mechanisms of increase, local selection and preferential connection; during the static robust performance analysis, structure robust performance of the supply network is analyzed by virtue of simulating and depicting different damages of the supply network by virtue of a computer; during the dynamic robust performance analysis, the dynamic robust performance of the network is analyzed by virtue of introducing external perturbation and a dynamic perturbation propagate algorithm. By means of modeling and simulation, the robust performance of the complex supply network suffering from different damages and perturbation can be effectively analyzed, and a solution conception is provided for a supply chain practitioner to reduce the supply failure risk.

Description

【Technical field】 [0001] The invention relates to the technical field of supply chain modeling and performance analysis, in particular to the field of robust performance analysis applied to supply chains. 【Background technique】 [0002] Natural and man-made uncertainties such as earthquakes, economic crises, strikes, and terrorist attacks have increased the risk of supply interruptions in today's supply chain systems. Supply disruptions have had a severe negative impact on the profitability of all members of the supply chain. For example, in 1999, due to the earthquake in Taiwan, Apple's DRAM supply was interrupted, causing it to lose a large number of customer orders. In 2000, Ericsson suffered a loss of four billion euros due to a fire at its semiconductor supplier that caused a supply disruption. For another example, after the 9.11 incident, the closure of bridges, tunnels, and airports in the United States caused a large-scale delay in the supply of a large number of c...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06Q10/06
Inventor 蒋云良李刚顾永跟范婧
Owner HUZHOU TEACHERS COLLEGE
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