摘要
数学计算和建模仿真是分析制造系统生产能力和设备利用率的常用方法,一个高质量的模型对于提高系统性能分析的效率和精度具有重要意义。该文介绍了时间Petrinet(PN)的基本概念,建立了制造系统的时间PN模型。基于此模型,利用Markov理论分析了系统的生产率和设备利用率,该方法在用于复杂系统时会导致Markov方程求解困难。因此又利用ObjectNet仿真软件对建立的时间PN模型进行了分析,结果表明仿真方法明显提高了分析的效率,并得到了精确的结果。该文还讨论了通过仿真方法解决顺序加工单元中间缓冲区的优化配置问题。
Mathematical method and simulation method are usually used to analyze the throughput and equipment utilization of large scale manufacturing systems. High quality models will significantly improve the efficiency and precision of system performance analysis. The basic concepts of timed Petri net are described in the paper, with a timed Petri net model developed for a typical manufacturing system. The timed Petri net model initially analyzes the throughput and equipment utilization using Markov theory. However, this method may have trouble when the Markov equation is used with complex manufacturing systems. ObjectNet simulation software was then used to analyze the timed Petri net model. The results show that simulation method obviously improves the analysis efficiency while maintaining high precision. The method has been used to analyze the optimal configuration of buffers between sequential operation cells.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2004年第2期145-148,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家"八六三"高技术项目(2001AA411140)
清华大学骨干人才支持计划资助项目