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Mining of Flexible Manufacturing System Using Work Event Logs and Petri Nets

  • Hesuan Hu
  • Zhiwu Li
  • Anrong Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4093)

Abstract

One of buzzwords for modern manufacturing industry are flexible manufacturing systems (FMS), in which several machines are interlinked by an automated information and material flow system. Description and control upon these systems are of prominent significance. This paper is concerned with mining and construction of the established FMS from work event logs. A novel Petri nets based algorithm is developed to implement such an idea. When an FMS is mined and constructed, its corresponding Petri net is used to evaluate, analyze, and control the system. Theoretical and experimental results are illustrated to show the effectiveness and efficiency of this approach.

Keywords

Manufacturing System Work Process Flexible Manufacturing System Deadlock Prevention Elementary Siphon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hesuan Hu
    • 1
  • Zhiwu Li
    • 1
  • Anrong Wang
    • 1
  1. 1.School of Electro-Mechanical EngineeringXidian UniversityXi’anP.R. China

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