Artificial Intelligence Algorithm Decision and Optimization Methods for Complex Production Systems

In modern manufacturing industry, the optimization of complex production process is of great significance to improve production efficiency and reduce cost. In a multi-process, multi-parts production system, the quality of key parts directly determines the reliability and performance of the final product. When enterprises assemble electronic products, it is necessary to conduct quality inspection on the spare parts used. In this paper, an optimization method based on dynamic programming and genetic algorithm is proposed, which integrates artificial intelligence algorithm into production decision, establishes dynamic programming model and genetic algorithm framework to maximize profit. The experimental results show that the method can effectively improve the scientificity and accuracy of production decision, and provide a new idea and tool for the optimization of complex production process.