Graph theory provides some methods for finding clusters in networks. Clusters reflect the invisible grouping of the elements in a network. This paper presents a new method for finding clusters in networks. In this method, the user can adjust a parameter to change the number of clusters. This method is newly added to the simulator General-purpose Petri Net Simulator (GPenSIM) as a function for network analysis. With this GPenSIM function, in addition to the usual performance analysis of a discrete-event system via a Petri net model, supplementary information about the grouping of the elements can also be found. Finding clusters in discrete-event systems provides valuable information such as the ideal location of the elements in a manufacturing network. This paper also presents an application example on a flexible manufacturing system.

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finding clusters in discreteevent systems simulator generalpurpose petri net simulator flexible manufacturing system performance analysis

Reggie Davidrajuh,Damian Krenczyk,Bozena Skolud,.Finding Clusters in Petri Nets. An approach based on GPenSIM. 40 (1),.

Reggie Davidrajuh,Damian Krenczyk,Bozena Skolud,"Finding Clusters in Petri Nets. An approach based on GPenSIM" 40

Reggie Davidrajuh,Damian Krenczyk,Bozena Skolud,"Finding Clusters in Petri Nets. An approach based on GPenSIM"