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  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学
  • 主    编:
  • 庄松林
  • 地    址:
  • 上海市军工路516号
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55277251
  • 电子邮件:
  • xbzrb@usst.edu.cn
  • 国际标准刊号:
  • 1007-6735
  • 国内统一刊号:
  • 31-1739/T
  • 邮发代号:
  • 4-401
  • 单    价:
  • 15.00
  • 定    价:
  • 90.00
秦江涛.基于Petri网的生产系统建模与分析研究[J].上海理工大学学报,2017,(4):358-367.
基于Petri网的生产系统建模与分析研究
Modeling and Analysis of Production Systems Based on the Petri Net
投稿时间:2017-03-06  
DOI:10.13255/j.cnki.jusst.2017.04.010
中文关键词:  Petri网  生产系统建模  性能分析  模块化  IDEF1X  仿真
英文关键词:Petri net  production system modeling  performance analysis  modularized  IDEF1X  simulation
基金项目:教育部人文社科基金资助项目(14YJCZH218);上海理工大学博士启动项目(1D-10-303-002)
作者单位
秦江涛 上海理工大学 管理学院, 上海 200093 
摘要点击次数: 24
全文下载次数: 29
中文摘要:
      针对生产管理模式的选择及Petri网建模规模较小等问题,根据生产物流控制的原理,在对基本制造单元进行模块化建模的基础上,应用模块化、层次化的技术构建了推式、拉式等生产管理模式的Petri网模型,然后应用参数化的技术对模型进行了改进,应用IDEF1X方法(icam definition methods,IDEF系列分析方法中的数据建模方法)对着色Petri网的颜色集进行了设计,弥补了Petri网建模的不足,并通过对这些方法的集成应用,建立了具有较强通用性的大规模复杂生产系统的Petri模型.最后,通过直接对所建Petri网模型的仿真和对仿真过程中所采集数据的统计计算,对生产系统的性能进行了分析,验证了上述建模方法的正确性和通用性.该方法为制造企业进行生产模式选择提供了有效的工具.
英文摘要:
      Aiming at the option of production management model and the solution of problems such as the small scale of Petri net modeling,etc.,according to the principle of production logistics control,basing on the modular modeling of the basic manufacture unit,as well as applying the modular and hierarchical techniques,the Petri net production management models of push type,pull type,etc.were built.Then the parametric technology was used to make improvement in the model,and the design of a color set of the colored Petri net was made with the application of the IDEF1X method (icam definition methods,data modeling method in IDEF series analysis method) to make up the shortcomings of Petri net modeling.The Petri model for a large scale complex production system with a stronger universality was established through the integrated application of these methods.At last,the performance of the production system is analyzed by the Petri net model's simulation and the statistical calculation of the data collected in the simulation process.The correctness and universality of the above modeling methods were tested and verified.The method can serve as an effective tool for manufacturing enterprises in choosing production models.
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