基于解释结构模型和复杂网络的制造系统关键脆性因子辨识  

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

作　　者：刘伟强 徐立云[1] LIU Weiqiang;XU Liyun(School of Mechanical Engineering, Tongji University, Shanghai 201804, China;School of Mechanical and Electrical Engineering, Jinggangshan University, Ji'an 343009, China)

机构地区：[1]同济大学机械与能源工程学院,上海201804 [2]井冈山大学机电工程学院,江西吉安343009

出　　处：《计算机集成制造系统》2021年第11期3076-3092,共17页Computer Integrated Manufacturing Systems

基　　金：国家科技重大专项资助项目(2018ZX09201010-005);上海人工智能创新发展资助项目(2019-RGZN-01085);江西省教育厅科学技术研究资助项目(GJJ170651)。

摘　　要：针对制造系统关键脆性因子难以辨识的问题,基于解释结构模型(ISM)和复杂网络理论,在充分考虑不同脆性因素影响的基础上,综合节点局部和网络全局两个方面提出一种制造系统关键脆性因子辨识方法。将脆性因素视为网络节点,依据复杂网络理论构建脆性因子复杂网络模型,从节点局部连接特性出发对复杂网络中节点的多个重要网络特征参数进行分析求解;同时结合ISM理论,对复杂网络进行层级划分,明晰各节点在整个网络中的层次结构关系并绘制基于ISM的网络递阶有向图,从网络全局的视角分析节点重要性,辨识出制造系统中的关键脆性因子,为制造系统的安全运行提供保障。以某装配系统为例验证了该方法的正确性,并将其用于ARPA网络,结果表明,相比于其他方法,所提方法更能有效区分网络中各节点重要性的差异,进一步验证了所提方法的有效性。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.

关 键 词：脆性因子 辨识 解释结构模型 复杂网络 制造系统 

分 类 号：TH165[机械工程—机械制造及自动化]