Production systems usually have to maintain a high level of performance. But, they may be subject to risks, which can cause serious consequences to a production system, among which one finds the performance degradation, flow reconfiguration and failure propagation in the system. Therefore, it is interesting to analyze the behavior of these systems in such circumstances, in order to assess their performance in case of risk and optimize their operations in degraded mode. Our work here aims at proposing a new approach to evaluate the performance of production systems in degraded mode. We focus more particularly on the simulator which has been developed