Performance evaluation of knowledgeable manufacturing systems using Petri nets considering dynamic events

As the market changes more and more severely, the variation of manufacturing environment becomes more dynamic and has greater influence on the performance of KMS. So studying the dynamism and obtaining the knowledge of the dynamism are important for KMS. This paper analyzes the dynamic events in KMS and their influence on performance of KMS. Stochastic Petri nets are introduced as a way to build the model of KMS. Three typical kinds of dynamic events (equipment failure, work piece rework and rush orders) are extracted based on the characteristics of KMS and are expressed in the Petri nets. Then Petri nets for a specific KMS is built and a performance evaluation method of such Petri nets is proposed. Experiments are also conducted to validate this evaluation method.