计算机集成制造系统 ›› 2020, Vol. 26 ›› Issue (11): 2955-2964.DOI: 10.13196/j.cims.2020.11.005

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基于病毒传播模型的制造系统关键资源识别指标评价

吴家贝,常建娥,张峰+   

  1. 武汉理工大学机电工程学院
  • 出版日期:2020-11-30 发布日期:2020-11-30

Evaluation of influential resources identification indicators in manufacturing system based on virus propagation model

  • Online:2020-11-30 Published:2020-11-30

摘要: 针对制造系统关键资源识别指标评价的不足,提出基于病毒传播模型的评价方法。构建制造系统网络模型,以多种典型关键节点识别指标排名前10的制造资源为关键制造资源。选取综合评价指标所得的关键资源节点和其他5种指标所得的关键资源节点中的不重复节点作为初始感染节点进行病毒传播模型仿真,比较感染节点数及其增量随时间变化的趋势;以单个关键资源节点为初始感染节点进行病毒传播模型仿真,得到基于病毒传播模型的排序结果,以此为评价标准计算该标准与典型关键节点识别指标排序结果的重复节点数和Kendall Rank相关系数。改变故障传播概率后进行仿真,评价不同故障传播概率下指标的优劣。以内饰装配线为例,验证了该评价方法的有效性和可行性。

关键词: 制造系统, 关键制造资源, 病毒传播模型仿真, 评价, 内饰装配线

Abstract: Aiming at the deficiency of influential resources identification indicators evaluation in manufacturing system,an evaluation method based on virus propagation model was proposed.By taking the top-10 manufacturing resources of several typical influential nodes identification indicators as the influential manufacturing resources,a network model of the manufacturing system was built.Different influential nodes identified between comprehensive evaluation indicator and other indicators were selected as the initial infected nodes of virus propagation model's simulation,and the trend between the quantity and quantity increment of infected nodes and spreading time was compared to evaluate the performance of those indicators.Each node appeared in the top-10 ranking list of each indicator was used as the initial infected nodes of virus propagation model's simulation.A ranking list based on virus propagation model could be obtained through the simulation and viewed as the evaluation standard.Indicators' performance could be assessed through calculating the number of common nodes and Kendall Rank correlation coefficient between the ranking lists of this standard and those influential nodes identification indicators.Indicators' performance under different fault propagation probability could be judged through changing the infection rate of virus propagation model.The interior assembly line was taken as an example to verify the feasibility of the proposed method.

Key words: manufacturing system, influential manufacturing resources, virus propagation model's simulation, evaluation, interior assembly line

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