摘要
为了动态识别离散制造系统的瓶颈单元,提出了一种将云仿真技术和面向对象着色Petri网相结合的瓶颈智能识别建模方法。该方法将离散制造系统各生产单元抽象成为Petri网子模块,模块之间通过映射函数和信息传递门,完成信息传递和意见反馈。然后采用虚拟仿真软件,建立制造系统云仿真模型,并将企业生产数据和产能函数嵌入云仿真模型中,运行云仿真模型,实现瓶颈单元的智能识别。通过实证研究,验证了瓶颈智能识别建模方法的有效性。
To identify the bottleneck cell of discrete manufacturing system dynamically, a new modeling method, intelligent identification modeling for bottleneck(IIMFB) was proposed by combining cloud simulation and object-oriented colored Petri nets(OOCPN).With the proposed method, the units of production system were abstracted as several Petri net sub-modules. And the messages were passed through mapping functions and message passing gates among Petri net sub-modules. Then, the cloud simulation model was created to simulate the real manufacturing system with simulation software, and the production data and capacity function were embedded in the cloud simulation model to identify bottleneck cell intelligently by running the model. The effectiveness of IIMFB method was applied and validated in a practical case study from the power transformer industry.
作者
张永阳
彭恩高
罗振琨
ZHANG Yong-yang;PENG En-gao;LUO Zhen-kun(School of Industrial Automation,Beijing Institute of Technology,Zhuhai 519088,China;Chongqing Zhangsi Technology Co.,Ltd.,Chongqing 400039,China)
出处
《价值工程》
2022年第30期132-135,共4页
Value Engineering
基金
北京理工大学珠海学院教育教学改革资助项目(2021012JXGG)
广东省特色重点学科“机械工程”资助项目。
关键词
瓶颈智能识别建模方法
云仿真
面向对象着色Petri网
离散制造
约束理论
intelligent identification modeling for bottleneck(IIMFB)
cloud simulation
object-oriented colored petri nets
discrete manufacturing
theory of constraints
