|Title||A decomposition approach for stochastic Petri net models|
|Publication Type||Conference Paper|
|Year of Publication||1991|
|Authors||G Ciardo, and KS Trivedi|
|Conference Name||Proceedings of the 4th International Workshop on Petri Nets and Performance Models, Pnpm 1991|
© 1991 IEEE. 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.