Identification of key brittleness factor for manufacturing system based on ISM and complex network

被引：0
|
作者：
Liu W. [1 ,2 ]
Xu L. [1 ]
机构：
[1] School of Mechanical Engineering, Tongji University, Shanghai
[2] School of Mechanical and Electrical Engineering, Jinggangshan University, Ji'an
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 11期
关键词：
Brittleness factors; Complex network; Identification; Interpretive structural modeling; Manufacturing system;
D O I：
10.13196/j.cims.2021.11.003
中图分类号：
学科分类号：
摘要：
Aiming at the identification difficulty problem of brittleness factor in manufacturing system, by considering two aspects of node itself and the whole network, a method for identifying the critical brittle factors of manufacturing system was proposed based on Interpretation Structure Model (ISM) and complex network theory. The brittleness factor was taken as the network node, and the complex network model of brittleness factor was constructed according to the complex network theory. From the perspective of node itself, the important network characteristic parameters of nodes in complex networks were analyzed. Combined with ISM theory, the hierarchical division of complex network was carried out, and the hierarchical digraph of network based on ISM was drawn. At the same time, the importance of nodes was analyzed from the perspective of the whole network, and the key brittleness factors affecting the manufacturing system were found, which could provide guarantee for the safe operation of the manufacturing system. An assembly line system was taken as an example to verify the correctness of the proposed method, and it was applied to ARPA network. The results showed that compared with other methods, the proposed method could effectively distinguish the importance of each node in the network, which further verified its effectiveness. © 2021, Editorial Department of CIMS. All right reserved.
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页码：3076 / 3092
页数：16
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