Research on Production Process Decision Making Based on Dynamic Programming and Simulated Annealing Algorithm

In this paper, a comprehensive decision model based on dynamic programming and simulated annealing algorithm is constructed to solve the decision optimization problem of an enterprise in the production of popular electronic products. By analyzing each stage of the production process in detail, including parts purchase, inspection, assembly and finished product inspection, and combining the defective rate, inspection cost, market price and return loss and other key parameters of each stage, a scheme for optimizing production decision is formed. In this paper, the dynamic programming method is used to optimize the production path, and the simulated annealing algorithm is introduced to solve the larger scale production planning problem, and the detection and treatment strategy in the production process of enterprises is optimized. Finally, it provides an effective decision-making basis for enterprises to obtain the maximum production profit under uncertain conditions.