• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (12): 224-231.

• 论文 • 上一篇    下一篇

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基于扩展随机Petri网的可重组制造系统建模与分析方法

谢楠;李爱平   

  1. 同济大学现代制造技术研究所;东华大学机械工程学院
  • 发布日期:2006-12-15

MODELING AND ANALYSIS OF RECONFIGURABLE MANUFACTURING SYSTEM BY EXTENDED STOCHASTIC PETRI NETS

XIE Nan;LI Aiping   

  1. Institute of Advanced Manufacturing Technology,Tongji University College of Mechanical Engineering, Donghua University
  • Published:2006-12-15

摘要: 可重组制造系统(Reconfigurable manufacturing system,RMS)可根据市场变化进行组态调整和组元升级,系统的建模与分析方法必须能适应上述特点。提出基于扩展随机Petri网(Extended stochastic Petri nets,ESPN)的模块化建模方法,将RMS不同的加工资源对应于相应的ESPN基本模块,并通过过渡变迁合成ESPN模型,该模型能适应任意分布的制造系统,可更加精确地反映生产过程。在此基础上采用基于行为表达式的分析方法,得到系统性能指标,该分析方法可不必画出可达图而直接得到系统性能关系函数,使分析过程更加直观、简洁。可重组电动机生产线的实例证明了该建模与分析方法的有效性。

关键词: 建模, 可重组制造系统, 扩展随机Petri网, 行为表达式, 性能分析

Abstract: Reconfigurable manufacturing system(RMS) emphasizes quick reaction to market changes, whose components are recon-figurable structures. The modeling and analysis of such system are extremely difficult to develop. A modular modeling approach based extended stochastic Petri nets(ESPN)is pre-sented, which facilitates the reconfigurable processing model-ing and adapts the arbitrary distributions manufacturing system accurately. The RMS model is described by connecting a set of basic modules that are designed with respect to different re-sources and reconfigurable processing of operations; Their connection method is also provided. Furthermore, the analysis of ESPN model based on behavior expression is presented, and the performance measures of RMC are computed such as pro-duction rates versus the number of standby machines, part type mix ratio, and rump-up time. In addition, the relationship func-tion of performance can be easily obtained without the reach-ability graph of Petri nets. Thus, the analysis process is simple and straightforward. An example of a DC motor reconfigurable production line is presented to illustrate the effectivity of the methodology.

Key words: Extended stochastic Petri nets Behavior expression, Modeling, Performance analysis, Reconfigurable manufacturing system

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