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Smart manufacturing production mobilization is a complex multi-objective optimization problem. Traditional production mobilization methods mostly use heuristics, and in the face of complex manufacturing environments, traditional methods may have problems of premature convergence or reduced search accuracy; therefore, in order to solve these problems, the study constructs a smart manufacturing production mobilization model based on the improved SA algorithm; firstly, the SA algorithm is optimized, and secondly, the optimized algorithm is used to construct a production mobilization model. The SA algorithm is optimized, the optimized algorithm is used to construct the production mobilization model, and finally the performance of the model algorithm is verified through simulation experiments. The experimental results show that the average completion time of real value, model method and traditional method are 85.33 min, 89.92 min and 93.81 min respectively in the dataset, and the difference between model method and real value is only 4.59 min. This indicates that the model method can be used to solve the situation of delay in the existing production model and complete the production tasks in time. The model algorithm can provide new ideas for smart manufacturing production mobilization.