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Complex supply chain network node search model and implementation method thereof

A network node and supply chain technology, applied in data processing applications, instruments, manufacturing computing systems, etc., can solve problems such as increased uncertainty and achieve rapid and accurate publishing

Inactive Publication Date: 2018-05-29
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in today's world of globalization, the auto industry is facing a rapidly changing and unpredictable buyer's market. Customer demands tend to be diversified and personalized, and uncertainties are increasing.

Method used

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  • Complex supply chain network node search model and implementation method thereof

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Embodiment Construction

[0033] Such as figure 1 As shown, the embodiment of the present invention provides that the present invention provides a complex supply chain network node search model, which is formed through the following steps:

[0034] Step 1. Use different unit entities of the supply network as network nodes, and the connections between units as network edges. The direction of the edge represents the upper-level node in the supply network pointing to the lower-level node; the weight of the edge represents that the parent node contains children. the number of nodes;

[0035] Step 2. When adding a new node and establishing a connection, connect the new node to the original nodes with the highest number of nodes to form a complex supply chain network in which most connection points are ruled by a few assembly points;

[0036] Step 3. In a complex supply chain network, the degree of a node is the number of edges connected to the node; the average path length of a node is the number of edges ...

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Abstract

The invention provides a complex supply chain network node search model which is formed by the following steps that step 1, different unit entities of a supply network act as the nodes of the network,the links among the units act as the edges of the network, and the direction of the edges represents that the last node of the supply network points to the next node; and the weight of the edges represents the number of the child nodes included in the father node; step 2, when one node is additionally arranged and connection is established, the new node is connected to the top ranking number of original nodes so as to form a complex supply chain network in which the majority cascade nodes are governed by the minority gathering nodes; and step 3, the degree of the node is the number of the edges connected with the node in the complex supply chain network; and the average path length of the node is the number of the edges on the shortest path of the two nodes in the complex supply chain network, and the aggregation coefficient in the complex supply chain network is the parameter for measuring the node clustering condition in the complex supply chain network.

Description

technical field [0001] The invention relates to the technical field of supply chain design, in particular to a complex supply chain network node search model and an implementation method thereof. Background technique [0002] With the further refinement of economic development and social division of labor, a stable and effective supply chain has become an important basis for core manufacturing companies to meet customer needs, build their core competitiveness, and resist market emergencies and risks. The automobile industry has formed a complete automobile supply-manufacturing-sales-service supply chain system. The competition in the automobile industry no longer depends only on the strength of the enterprise itself, but from the strength of the entire supply chain. However, in today's world of globalization, the auto industry is facing a rapidly changing and unpredictable buyer's market. Customer needs tend to be diversified and personalized, and uncertainties are increasin...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04
CPCG06Q10/0639G06Q10/067G06Q50/04Y02P90/30
Inventor 徐兴
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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