A multi-objective job-shop just-in-time scheduling model is built with new evaluation function to deal with the optimization of machining parameters in multi-objective Job-shop just-in-time scheduling. Computational result with genetic algorithm realized by computer shows that selecting machining parameters and scheduling simultaneity is better than traditional fashion which divided them into two steps. Moreover, the new evaluation function can reflect the effect of change of weight numbers to scheduling result well.