• DocumentCode
    3539930
  • Title

    Analyzing system reliability using non-regenerative stochastic Petri nets

  • Author

    Sugasawa, Y. ; Vidale, R.F. ; Jin, Q.

  • Author_Institution
    Dept. of Math. Eng., Nihon Univ., Narashino, Japan
  • Volume
    3
  • fYear
    1995
  • fDate
    10-13 Oct 1995
  • Firstpage
    399
  • Abstract
    We extend the class of Markov models that can be described by a stochastic Petri net and describe analytical techniques for solving the resulting model. We consider a generalization of the Markov renewal process in which some of the states may not constitute regeneration points. We present a non-regenerative stochastic Petri net (NRSPN) that generates such a process, discuss its solution, and present an example of a spare-parts inventory system using the NRSPN model. After reviewing SPNs and Markov renewal processes, we define the NRSPN model in the context of a generalized Markov renewal process. Numerical results for specific distributions are given
  • Keywords
    Markov processes; Petri nets; probability; reliability theory; state-space methods; stock control; Markov models; Markov renewal process; non-regenerative stochastic Petri nets; spare-parts inventory system; state space; stock control; system reliability; Computer industry; Educational institutions; Information science; Markov processes; Materials requirements planning; Petri nets; Reliability engineering; Stochastic processes; Stochastic systems; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 1995. ETFA '95, Proceedings., 1995 INRIA/IEEE Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-2535-4
  • Type

    conf

  • DOI
    10.1109/ETFA.1995.496740
  • Filename
    496740