GSPN modelling methods for performance and dependability evaluation of a real-life flexible manufacturing system

Abstract

Generalized stochastic Petri nets (GSPNs) are used to model and analyze a real flexible manufacturing system (FMS). First, performance and dependability evaluation are applied to a real-life system. A global system is decomposed to reduce the complexity evaluation. Temporal analysis is used to derive performance measures such as the average production per day. Second, a solution is proposed to increase the production rate by introducing buffers with finite capacity and a reorganization of jobs on different production lines.<>