Maintenance integration in manufacturing systems by using stochastic Petrinets

Research into both increased performance and improvements in dependability of production systems involves maintenance integration, which allows one to protect their availability and their durability. In the case of large manu facturing systems, maintenance integration is essential from conception, an d so it involves a particular development concerned with both model complex ity and computing time. A modular modelling approach, based on a cellular d ecomposition of the system, using stochastic Petri nets and Markov chains h as been adopted to implement various maintenance strategies in complex prod uction workshops, with the aim of studying their influence on the system de pendability and performance.