Summary: Nowadays, it seems that prediction is one of the most important issues in all economic managerial fields gradually, new methods have been offered with the goal of minimizing the prediction error. Policy makers prefer to have mechanism which can help them to decide correctly because of multiplicity of variables which influence managerial issues. So, in order to achieve better and more accurate results with less error, policy makers are trying to refer to the prediction and simulation method. Historical methods are used in many complicated and nonlinear systems which predicting, controlling and modeling of them through classic method are very difficult and partially impossible. Product life cycle is an important concept that informs managers about dynamics competitive concepts. This paper is to propose a dynamics model to simulate product life cycle to help manager to formulate product policies. In this method, system behavior predicts during the time through feedback chains in systems parts.