Well suited modelling and evaluation techniques based on GSPN for real production systems

Modeling of production systems used in automobile factories with behavior which is complicated by failure occurrence and repair or maintenance actions is reported. The method is based on generalized stochastic Petri nets (GSPN) which are well-suited for complex system evaluation. To reduce the state space complexity an equivalent model is proposed for the production lines. It permits addressing the problem of production management and the enhancement of the production rate by the addition of buffers. A software package which aids in the creation of models from a module library is developed.<>