A decomposition approach for stochastic Petri net models

Conference Paper

We present a decomposition approach for the solution of large stochastic Petri nets (SPNs). The overall model consists of a set of submodels whose interactions are described by an import graph. Each node of the graph corresponds to a parametrized SPN submodel and an arc from submodel A to submodel B corresponds to a parameter value that B must receive from A. The quantities exchanged between submodels are based on only three primitives. The import graph is normally cyclic, so the solution method is based on fixed point iteration. The authors apply their technique to the analysis of a flexible manufacturing system.

Full Text

Duke Authors

Cited Authors

  • Ciardo, G; Trivedi, KS

Published Date

  • January 1, 1991

Published In

  • Proceedings of the 4th International Workshop on Petri Nets and Performance Models, Pnpm 1991

Start / End Page

  • 74 - 83

International Standard Book Number 10 (ISBN-10)

  • 0818622857

International Standard Book Number 13 (ISBN-13)

  • 9780818622854

Digital Object Identifier (DOI)

  • 10.1109/PNPM.1991.238780

Citation Source

  • Scopus