In real production processing, job shop scheduling problem (JSP) is often express as dynamic scheduling problem. In this article a hybrid genetic algorithm and handling strategies are used for real job shop scheduling problem. It gives the scheduling result with the appropriate handling strategies to the stochastic events such as equipment breakdown and urgent orders. The data of Shanghai Shen Mo Die & Mold Manufacturing Co., Ltd (ShenMo) is used for the application of dynamic scheduling simulation, and the results of which show that the proposed method can satisfactorily solve the stochastic events of scheduling.
